statistics for finance

Katalog książekanglojęzycznych

statystyka finansowa i ekonometriaAmerykańskie Towarzystwo Statystyczne ogłosiło rok 2013 Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcja ma na celu uczczenie i docenienie osiągnięć nauk statystycznych. Przyłączyliśmy się do akcji promując najważniejsze książki z tej dziedziny.

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Statystyka finansowa i ekonometria

2 www.abe.pl

A Concise Introduction to Business Research Methods

9781439861097 16.12.2013 Oprawa: twarda

£ 49,99

D. Israel

Introductory in its approach, this text covers essential aspects of research methods. The author emphasizes major topics, such as experimental design, scale construction techniques, testing reliability and validity, as well as the application of univariate, bivariate, and multivariate tools in data analysis. Step-by-step details of the application of the SPSS, along with screenshots, are included to illustrate the application of tools to analyze and interpret research data. The book covers pre-, quasi-, true-, and complex experimental design forms. Each chapter contains descriptive questions, multiple-choice questions, true/false statements, and exercises.

Taylor & Francis

A Course on Statistics for Finance

9781439892541 03.01.2013 Oprawa: twarda

£ 57,99

Stanley L. Sclove

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Taylor & Francis

A Modern Theory of Random Variation

9781118166406 16.11.2012 Oprawa: twarda

£ 76,95

Patrick Muldowney

This book presents a self-contained study of the Riemann approach to the theory of random variation and assumes only some familiarity with probability or statistical analysis, basic Riemann integration, and mathematical proofs. The author focuses on non-absolute convergence in conjunction with random variation. Any conception or understanding of the random variation phenomenon hinges on the notions of probability and its mathematical representation in the form of probability distribution functions. The central and recurring theme throughout this book is that, provided the use a non-absolute method of summation, every finitely additive, function of disjoint intervals is integrable. In contrast, more traditional methods in probability theory exclude significant classes of such functions whose integrability cannot be established whenever only absolute convergence is considered. An examples includes the Feynman "measure-which-is-not-a-measure" - the so-called probability amplitudes used in the Feynman path integrals of quantum mechanics.

Wiley

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and

9781439855508 19.08.2011 Oprawa: twarda

£ 59,99

Phillip I. Good

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods. Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website

Taylor & Francis

Active Risk Management

9781439839485 05.11.2013 Oprawa: twarda

£ 57,99

Lai

Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. Novel modeling approaches and courses to educate future professionals in industry, government, and academia are of timely relevance. This book introduces an innovative concept and methodology developed by the authors: active risk management. It is suitable for graduate students in mathematical finance/financial engineering, economics, and statistics as well as for practitioners in the fields of finance and insurance. The book’s website features the data sets used in the examples along with various exercises. Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. Novel modeling approaches and courses to educate future professionals in industry, government, and academia are of timely relevance. This book introduces an innovative concept and methodology developed by the authors: active risk management. It is suitable for graduate students in mathematical

Taylor & Francis

An Introduction to Analysis of Financial Data with R

9780470890813 07.12.2012 Oprawa: twarda

£ 86,95

Ruey S. Tsay

This book provides a systematic and mathematically accessible introduction to financial econometric models and their applications in modeling and predicting financial time series data. It emphasizes empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure, and high-frequency financial data. S-Plus(r) commands and illustrations are used extensively throughout the book in order to highlight accurate interpretations and graphical representations of financial data. Exercises are included in order to provide readers with more opportunities to put the models and methods into everyday practice. The tools provided in the text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data, most importantly without needless computation.

Wiley


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An Introduction to Exotic Option Pricing

9781420091007 02.03.2012 Oprawa: twarda

£ 49,99

Peter Buchen

In an easy-to-understand, nontechnical yet mathematically elegant manner, An Introduction to Exotic Option Pricing shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving partial differential equations (PDEs). The author incorporates much of his own unpublished work, including ideas and techniques new to the general quantitative finance community. The first part of the text presents the necessary financial, mathematical, and statistical background, covering both standard and specialized topics. Using no-arbitrage concepts, the Black-Scholes model, and the fundamental theorem of asset pricing, the author develops such specialized methods as the principle of static replication, the Gaussian shift theorem, and the method of images. A key feature is the application of the Gaussian shift theorem and its multivariate extension to price exotic options without needing a single integration. The second part focuses on applications to exotic option pricing, including dual-expiry, multi-asset rainbow, barrier, lookback, and Asian options.

Taylor & Francis

Analysis of Financial Time Series

9780470414354 10.09.2010 Oprawa: twarda

£ 90,95

Ruey S. Tsay

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics:

Analysis and application of univariate financial time series

The return series of multiple assets

Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.

Wiley

Applied Business Statistics: Making Better Business Decisions

9781118092293 03.02.2012 Oprawa: miękka

£ 54,99

Ken Black

Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas. Every chapter opens up with a vignette called a "Decision Dilemma" about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called "Decision Dilemma Solved." In this edition all cases and "Decision Dilemmas" are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital.

Wiley

Applied Statistics for Business and Economics

9781439805688 19.03.2010 Oprawa: twarda

£ 56,99

Robert M. Leekley

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression).

Taylor & Francis

Applied Stochastic Finance: v. 1

9781848211582 19.01.2010 Oprawa: twarda

£ 99,95

P-C.G. Vassiliou

Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals manage financial risks. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better comprehending, modeling and hedging this kind of risk. These two volumes aim to provide a foundation course on applied stochastic finance. They are designed for three groups of readers: firstly, students of various backgrounds seeking a core knowledge on the subject of stochastic finance; secondly financial analysts and practitioners in the investment, banking and insurance industries; and finally other professionals who are interested in learning advanced mathematical and stochastic methods, which are basic knowledge in many areas, through finance. Volume 1 starts with the introduction of the basic financial instruments and the fundamental principles of financial modeling and arbitrage valuation of derivatives. Next, we use the discrete-time binomial model to introduce all relevant concepts.

Wiley

ARCH Models for Financial Applications

9780470066300 09.04.2010 Oprawa: twarda

£ 65,95

Evdokia Xekalaki

ARCH Models for Financial Applications provides background on the theory of ARCH models, with a focus on practical implementation via applications to real data and examples worked with econometrics packages. The interactional exposition of the ARCH theory, and its implementation in practice that the authors adopt, helps readers get a deeper understanding of the models and their use as tools in applied financial contexts. Intended for readers seeking an aptitude in the applications of financial econometric modeling, this book requires only a basic knowledge of econometrics and basic undergraduate-level statistics.

Wiley


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Bayesian Methods in Insurance and Actuarial Science

9781466510616 05.12.2013 Oprawa: twarda

£ 57,99

Yanwei Zhang

There has been a rapidly growing interest in Bayesian methods among insurance practitioners in recent years, mainly because of their ability to generate predictive distributions and to rigorously incorporate expert opinion through prior probabilities. This book introduces modern Bayesian modeling techniques for actuarial and insurance applications. It first provides the necessary background in current actuarial practice and then presents Bayesian methods and MCMC. It includes advanced techniques, such as nonlinear modeling, as well as three chapters on model selection and averaging. The text features case studies using real actuarial and insurance data with computations in R and WinBUGS.

Taylor & Francis

Black-Scholes Model

9780521173001 13.09.2012 Oprawa: miękka

£ 24,00

Marek Capinski

The Black-Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study.

Cambridge University Press

Business Statistics for Competitive Advantage with Excel 2010

9781441998569 27.03.2012 Oprawa: miękka

€ 74,95

Cynthia Fraser

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared.

Springer

Choice-based Conjoint Analysis: Models and Designs

9781420099966 11.08.2010 Oprawa: twarda

£ 62,99

Damaraju Raghavarao

Disseminating information from researchers in various fields, this compilation presents the research themes, methods, and findings, making it a significant reference for design researchers and design practitioners interested in furthering understanding of design activity in real-world settings. It presents an analysis of digital video recordings of a series of design meetings on the conceptual stages of a design project. The data were gathered from design meetings taking place as part of naturally occurring design practice, rather than being gathered through a staged experiment in which the conditions are highly controlled.

Taylor & Francis

Clustering: A Data Recovery Approach

9781439838419 15.11.2012 Oprawa: twarda

£ 63,99

Boris Mirkin

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or consensus clustering, are considered absolutely unrelated to each other or to the two above mentioned methods. Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches-spectral, modularity and uniform, additive, and consensus-treated within the same data recovery approach.

Taylor & Francis

Computation and Modelling in Insurance and Finance: An Introduction

9780521830485 01.10.2013 Oprawa: twarda

£ 65,00

Eric Bolviken

Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.



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Customer and Business Analytics

9781466503960 06.06.2012 Oprawa: miękka

£ 44,99

Robert E. Krider

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

Taylor & Francis

Data Driven Business Decisions

9780470619605 04.11.2011 Oprawa: twarda

£ 83,50

Chris J. Lloyd

A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel(r), uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions.

Wiley

Data Mining Mobile Devices

9781466555952 25.06.2013 Oprawa: twarda

£ 44,99

Jesus Mena

Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening behavior analysis to new methods of empirical stochastic modeling. The book explains how the combination of data mining and machine learning makes this possible, and details how to integrate the various technologies.

Taylor & Francis

Developing Econometrics

9780470681770 25.11.2011 Oprawa: twarda

£ 55,00

Hengqing Tong

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation.

Provides a detailed description of computer algorithms.

Provides recently developed computational tools useful for data mining

Highlights recent advances in statistical theory and methods that benefit econometric practice.

Features examples with real life data.

Accompanying software featuring DASC (Data Analysis and Statistical Computing).

Wiley

Developing, Validating and Using Internal Ratings

9780470711491 24.09.2010 Oprawa: twarda

£ 62,50

Giacomo de Laurentis

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers' ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy. Key Features: * Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases. * Discusses available methodologies to build, validate and use internal rate models. * Demonstrates how to use statistical packages for building statistical-based credit rating systems. * Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending. This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

Wiley

Discrete Models of Financial Markets

9780521175722 23.02.2012 Oprawa: miękka

£ 24,00

Ekkehard Kopp

This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.



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Discrete Models of Financial Markets

9781107002630 23.02.2012 Oprawa: twarda

£ 50,00

Ekkehard Kopp

This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.


Economic Time Series: Modeling and Seasonality

9781439846575 18.04.2012 Oprawa: twarda

£ 63,99

William R. Bell

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies. For easier perusal and absorption, the contents have been grouped into seven topical sections: Section I deals with periodic modeling of time series, introducing, applying, and comparing various seasonally periodic models Section II examines the estimation of time series components when models for series are misspecified in some sense, and the broader implications this has for seasonal adjustment and business cycle estimation Section III examines the quantification of error in X-11 seasonal adjustments, with comparisons to error in model-based seasonal adjustments

Taylor & Francis

Extreme Value Methods with Applications to Finance

9781439835746 21.12.2011 Oprawa: twarda

£ 66,99

Serguei Y. Novak

Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers-in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, statisticians are eager to extract information about unknown distribution making as few assumptions as possible. Extreme Value Methods with Applications to Finance concentrates on modern topics in EVT, such as processes of exceedances, compound Poisson approximation, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been fully focused on in other books on extremes. In addition, the book covers: Extremes in samples of random size Methods of estimating extreme quantiles and tail probabilities Self-normalized sums of random variables Measures of market risk Along with examples from finance and insurance to illustrate the methods, Extreme Value Methods with Applications to Finance includes over 200 exercises, making it useful as a reference book, self-study tool, or comprehensive course text.

Taylor & Francis

Financial and Actuarial Statistics: An Introduction

9781420085808 15.10.2013 Oprawa: twarda

£ 57,99

Dale S. Borowiak

Presenting a unique interface between statistics and financial/actuarial topics, this second edition provides a solid background for students preparing for a career in actuarial science. It explores novel research areas and adds more problems, along with a new solutions section. This edition also includes a new chapter on Markov chain theory with applications to mortality and multiple decrement mortality table modeling, a presentation of model checking diagnostics that covers diagnostics for mortality tables, and an expanded discussion on option pricing with examples.

Taylor & Francis

Financial Mathematics: A Comprehensive Treatment

9781439892428 17.10.2013 Oprawa: twarda

£ 57,99

Giuseppe Campolieti

This text offers a comprehensive, self-contained, and unified treatment of the theory and application of mathematical methods behind modern-day financial mathematics. It introduces the financial theory and the relevant mathematical methods in a mathematically rigorous yet student-friendly and engaging style. The text provides complete and in-depth coverage of both discrete- and continuous-time financial models and pricing theory. It also includes numerous examples, exercises, fully worked out solutions, and multiple problem-solving approaches. A solutions manual is available upon qualifying course adoption.

Taylor & Francis

Financial Risk Modelling and Portfolio Optimization with R

9780470978702 07.12.2012 Oprawa: twarda

£ 60,00

Bernhard Pfaff

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimization with R:

Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field.

Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies.

Explores portfolio risk concepts and optimization with risk constraints.

Enables the reader to replicate the results in the book using R code.

Wiley


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Financial Statistics and Mathematical Finance

9780470710586 20.07.2012 Oprawa: twarda

£ 55,00

Ansgar Steland

Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets.

Wiley

GARCH Models

9780470683910 16.07.2010 Oprawa: twarda

£ 60,00

Christian Francq

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications. Key features: Provides up-to-date coverage of the current research in the probability, statistics and econometric theory of GARCH models. Numerous illustrations and applications to real financial series are provided. Supporting website featuring R codes, Fortran programs and data sets. Presents a large collection of problems and exercises. This authoritative, state-of-the-art reference is ideal for graduate students, researchers and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.

Wiley

Handbook of Empirical Economics and Finance

9781420070354 16.12.2010 Oprawa: twarda

£ 101,00

Aman Ullah

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.

Taylor & Francis

Handbook of Exchange Rates

9780470768839 24.07.2012 Oprawa: twarda

£ 100,00

Jessica James

Handbook of Exchange Rates is an impressive compilation of research from more than thirty-five leading researchers and experts on the topic. The book is clearly organized into five succinct sections that explore the foreign exchange (FX) market, from its background and economic foundation to current practices, obstacles, and policies in the modern foreign exchange market. Part I presents an overview of the history of the FX market and exchange rate regimes, the key instruments/players in the FX trading environment, and both macro and micro approaches to FX determination. Next, Part II focuses on forecasting exchange rates, featuring methodological contributions on the sstatistical methods for evaluating forecast performance, parity relationships, fair value models, and flow-based models. Part III treats FX as an asset class, outlining active currency management, currency hedging, hedge accounting, high frequency and algorithmic trading in FX, and FX strategy-based products. Part IV discusses products and pricing in FX, the FX options market, and volatility derivatives.

Wiley

Handbook of Modeling High-Frequency Data in Finance

9780470876886 06.01.2012 Oprawa: twarda

£ 100,50

Frederi G. Viens

CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading.

Wiley

Handbook of Solvency for Actuaries and Risk Managers

9781439821305 12.11.2010 Oprawa: twarda

£ 97,00

Arne Sandstrom

Reflecting the author's wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities, the calculation of capital requirement, and the calculation of the standard formula for the European Solvency II project. The first three sections of the book examine the solvency concept, historical development, and the role of solvency in an enterprise risk management approach. The text provides a general discussion on valuation, investment, and capital, along with modeling and measuring. It also covers dependence, risk measures, capital requirements, subrisks, aggregation, the main risks market, and credit, operational, liquidity, and underwriting risks. The last three sections focus on the European Solvency II project. Basing the material on CEIOPS final advice, the author presents the general ideas, valuation, investments, and funds of this project as well as the standard formula framework. He also includes all calibrations from previous quantitative impact studies and discusses the political progress of the project.

Taylor & Francis


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Insurance Risk and Ruin

9780521176750 16.09.2010 Oprawa: miękka

£ 31,99

David C. M. Dickson

Based on the author's experience of teaching final-year actuarial students in Britain and Australia, and suitable for a first course in insurance risk theory, this book focuses on the two major areas of risk theory - aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, different classes of counting distribution are discussed, and recursion schemes for probability functions and moments presented. For the individual model, the three most commonly applied techniques are discussed and illustrated. Care has been taken to make the book accessible to readers who have a solid understanding of the basic tools of probability theory.


Introduction to Credit Risk Modeling

9781584889922 02.06.2010 Oprawa: twarda

£ 56,99

Christian Bluhm

Illustrating mathematical models for structured credit with practical examples, "Introduction to Credit Risk Modeling" provides an accessible introduction to the foundations of structured credit portfolio modeling. Updated and expanded, this second edition features additional material on estimation of asset correlations, benchmark correlations based on securitizations of benchmark portfolios in the market, risk contributions and spectral risk measures, non homogeneous Markov chain approaches, multi-year models, current agency models, single-tranche CDOs, index tranches, as well as new developments in synthetics. The text also includes new exercises and a supporting website.

Taylor & Francis

Introduction to Stochastic Finance

9781466594029 05.11.2013 Oprawa: twarda

£ 49,99

Privault

This comprehensive text presents an introduction to pricing and hedging in financial models, with an emphasis on analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance. The book starts with the basics of finance and stochastic calculus and builds up to special topics, such as options, derivatives, and credit default and jump processes. Many real examples illustrate the topics and classroom-tested exercises are included in each chapter, with selected solutions at the back of the book.

Taylor & Francis

Introduction to the Practice of Statistics

9781429286640 08.04.2011 Oprawa: twarda

£ 53,99

David S. Moore

With a focus on data analysis, statistical reasoning, and the way statisticians actually work, IPS has helped to revolutionize the way statistics are taught and brings critical thinking and practical applications to your course.Revised for more learner-friendly progression, the 7th edition includes 30% new exercises, including international examples such as Facebook usage trends outside the USA. What this book offers students: * Focuses on data analysis and practical applications, showing the way statisticians actually work. * Fosters statistical reasoning and decision-making skills, not just calculation drills, through a focus on problem-solving practice. * Presents contemporary real data in real contexts, making the numbers and why we analyse them meaningful. * Includes examples from many interesting disciplines (from psychology to medicine and business) to give relevance to the material covered.

Palgrave MacMillan

Life Contingencies

9781107648098 09.06.2011 Oprawa: miękka

£ 26,99

E. F. Spurgeon

Published in 1932, this is the third edition of an original 1922 volume. The 1922 volume was, in turn, created as the replacement for the Institute of Actuaries Textbook, Part Three, which was the foremost source of knowledge on the subject of life contingencies for over 35 years. Assuming a high level of mathematical knowledge on the part of the reader, it was aimed chiefly at actuarial students and those with a professional interest in the relationship between statistics and mortality. Highly organised and containing numerous mathematical formulae, this book will remain of value to anyone with an interest in risk calculation and the development of the insurance industry.


Logit Models from Economics and Other Fields

9780521188036 03.03.2011 Oprawa: miękka

£ 25,99

J. S. Cramer

Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.



www.abe.pl 9

Loss Models: from Data to Decisions Student Solutions Manual

9781118315316 15.10.2012 Oprawa: miękka

£ 23,50

Stuart A. Klugman

An update of one of the most trusted books on constructing and analyzing actuarial models for the C/4 actuarial exam This new, abridged edition has been thoroughly revised and updated to include the essential material related to Exam C of the Society of Actuaries' and Casualty Actuarial Society's accreditation programs. The book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. The book continues to distinguish itself by providing over 400 exercises that have appeared on previous examinations.The emphasis throughout is now placed on calculations and spreadsheet implementation.

Wiley

Making It Happen: Using Causal Models for Business Analysis

9780415657600 15.09.2013 Oprawa: miękka

£ 31,99

Aaron L Bramson

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions. The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis, qualitative methods, and quantitative modeling tools, this book offers a toolbox for MBA students and business professionals to make successful decisions in a managerial setting.

Taylor & Francis

Mathematical Statistics for Economics and Business

9781461450214 31.03.2013 Oprawa: twarda

€ 79,95

Ron C. Mittelhammer

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business.

Springer

Methods and Applications of Statistics in Business, Finance, and Management Science

9780470405109 20.07.2010 Oprawa: twarda

£ 150,00

N. Balakrishnan

Inspired by the Encyclopedia of Statistical Sciences, Second Edition , this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science.

Wiley

Methods for Estimation and Inference in Modern Econometrics

9781439838242 01.06.2011 Oprawa: twarda

£ 59,99

Stanislav Anatolyev

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book. Topics covered include: Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models.

Taylor & Francis

Microeconometrics Using Stata

9781597180733 08.04.2010 Oprawa: miękka

£ 57,99

A. Colin Cameron

A complete and up-to-date survey of microeconometric methods available in Stata, "Microeconometrics Using Stata, Revised Edition" is an outstanding introduction to microeconometrics and how to execute microeconometric research using Stata. It covers topics left out of most microeconometrics textbooks and omitted from basic introductions to Stata. This revised edition has been updated to reflect the new features available in Stata 11 that are useful to microeconomists. Instead of using mfx and the user-written margeff commands, the authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Taylor & Francis


10 www.abe.pl

Misconceptions of Risk: Common Errors and Misconceptions

9780470683880 08.01.2010 Oprawa: twarda

£ 70,00

Terje Aven

The risk discipline is young and there are a number of ideas, perspectives and conceptions of risk out there. A number of such common conceptions of risk are examined in the book, related to the risk concept, risk assessments, uncertainty analyses, risk perception, the precautionary principle, risk management and decision making under uncertainty. The Author discusses these concepts, their strengths and weaknesses, and concludes that they are often better judged as misconceptions of risk than conceptions of risk.

Wiley

Modeling Online Auctions: Statistics in Practice

9780470475652 19.08.2010 Oprawa: twarda

£ 72,95

Wolfgang Jank

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data.

Wiley

Monte Carlo Methods and Models in Finance and Insurance

9781420076189 01.03.2010 Oprawa: twarda

£ 62,99

Ralf Korn

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as recent financial and actuarial models, such as the Cheyette and dynamic mortality models. The authors separately discuss Monte Carlo techniques, stochastic process basics, and the theoretical background and intuition behind financial and actuarial mathematics, before bringing the topics together to apply the Monte Carlo methods to areas of finance and insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation and the simulation of stochastic processes with continuous and discontinuous paths.

Taylor & Francis

Monte Carlo Simulation with Applications to Finance

9781439858240 20.06.2012 Oprawa: twarda

£ 49,99

Hui Wang

Developed from the author's course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB(R) coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

Taylor & Francis

Navigating Strategic Decisions

9781466585980 25.06.2013 Oprawa: twarda

£ 63,99

John E. Triantis

Based on forty years of experience and research, this book provides guidance on forecasting for strategic decision making. It includes methodology, tools, and models. It also explains how to apply sanity checks to existing forecasts to rank project valuations, identify project risks, and select the higher value creation projects. The author discusses how to assess the feasibility of large projects, analyze forecasting models to determine controllable levers, and create the conditions needed for forecasts to materialize.

Provides the most complete treatment of how to create the organization, processes, methods, and techniques required for analyzing and forecasting for strategic decisions

Serves as an essential reference book to strategic planning, new product development, portfolio management, and business development groups

Taylor & Francis

Nonlinear Pricing Methods in Quantitative Finance

9781466570337 16.08.2013 Oprawa: twarda

£ 49,99

Julien Guyon

Collecting many methods that have previously been scattered in the literature, this book presents advanced techniques for solving high-dimensional nonlinear problems. Designed for practitioners, it is one of the first books to discuss nonlinear Black-Scholes partial differential equations (PDEs). The authors explain regression and dual methods for chooser options, the Monte Carlo approach for pricing the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection/particle method to calibrate local stochastic volatility, hybrid models to market vanilla options, and stochastic representations based on marked branching diffusions.

Taylor & Francis


www.abe.pl 11

Numerical Methods in Finance with C++

9780521177160 02.08.2012 Oprawa: miękka

£ 24,00

Maciej J. Capinski

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.


Operational Risk Modelling and Management

9781439844762 18.10.2010 Oprawa: twarda

£ 69,99

Claudio Franzetti

In banking regulation, tools are needed to quantify risk and calculate the amount of capital reserve required to mitigate such risk. This book offers a complete model for the quantification of so-called operational risks. It offers a detailed discussion on the link between modeling approaches and management, which has been neglected in the literature, as well as the mathematical modeling of the loss distribution approach. With an emphasis on risk management and management fundamentals, the text presents a complete simulation model along with tested examples that can be replicated using R software. The author provides a broad view on managing risk using this mathematical model.

Taylor & Francis

Option Pricing and Estimation of Financial Models with R

9780470745847 11.03.2011 Oprawa: twarda

£ 62,50

Stefano M. Iacus

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Wiley

Option Valuation: A First Course in Financial Mathematics

9781439889114 13.01.2012 Oprawa: twarda

£ 38,99

H. D. Junghenn

Option Valuation: A First Course in Financial Mathematics provides a straightforward introduction to the mathematics and models used in the valuation of financial derivatives. It examines the principles of option pricing in detail via standard binomial and stochastic calculus models. Developing the requisite mathematical background as needed, the text presents an introduction to probability theory and stochastic calculus suitable for undergraduate students in mathematics, economics, and finance. The first nine chapters of the book describe option valuation techniques in discrete time, focusing on the binomial model. The author shows how the binomial model offers a practical method for pricing options using relatively elementary mathematical tools. The binomial model also enables a clear, concrete exposition of fundamental principles of finance, such as arbitrage and hedging, without the distraction of complex mathematical constructs. The remaining chapters illustrate the theory in continuous time, with an emphasis on the more mathematically sophisticated Black-Scholes-Merton model.

Taylor & Francis

Quantitative Finance: A Simuation-Based Introduction Using Excel

9781439871683 16.11.2013 Oprawa: twarda

£ 49,99

Matt Davison

Providing readers with more quantitative insight into markets and a better overview of market structures, this book explains how the mathematical objects of finance relate to the business needs of markets. It takes a simulation approach to financial market problems, which allows readers to understand concepts without becoming bogged down by excessive equations. Each section describes the relevant financial or mathematical theory, an application of the theory in practice, and a spreadsheet to illustrate it. The text also includes a set of exercises, ranging from simple to complex.

Taylor & Francis

Quantitative Finance: Object-Oriented Approach in C++

9781584884798 16.09.2013 Oprawa: twarda

£ 49,99

Erik Schlogl

A textbook for students and a reference guide for professionals, this text builds a foundation in the key methods and models of quantitative finance from the perspective of their implementation in C++. It introduces computational finance in a pragmatic manner, focusing on practical implementation. The author takes an object-oriented approach that starts from simple building blocks for assembling more complex and powerful models. The author expresses models and algorithms of the industry-standard C++ language and includes working C++ source code on a CD-ROM that accompanies the book.

Taylor & Francis


12 www.abe.pl

Quantitative Methods: An Introduction for Business Management

9780470496343 06.05.2011 Oprawa: twarda

£ 76,95

Paolo Brandimarte

An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate.

Wiley

Quantitative Operational Risk Models

9781439895924 16.03.2012 Oprawa: twarda

£ 44,99

Catalina Bolance

Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes real-life examples of the combination of internal data and external information. A guideline for practitioners, the book begins with the basics of managing operational risk data to more sophisticated and recent tools needed to quantify the capital requirements imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. In addition, it provides:

Simple, intuitive, and general methods to improve on internal operational risk assessment

Taylor & Francis

Regression Modeling with Actuarial and Financial Applications

9780521135962 30.11.2009 Oprawa: miękka

£ 39,99

Edward W. Frees

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects.


Relational Data Clustering

9781420072617 21.05.2010 Oprawa: twarda

£ 56,99

Bo Long

This is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based models, and probabilistic models.

Taylor & Francis

Risk Analysis in Finance and Insurance

9781420070521 25.04.2011 Oprawa: twarda

£ 57,99

Alexander Melnikov

The development of quantitative methods based on stochastic analysis is a key achievement of modern financial mathematics. These methods can be extended and applied in the area of actuarial science, which leads to unified methods of risk management in finance and insurance. This interdisciplinary book presents an accessible, thorough introduction to the main ideas, methods, and techniques that transform risk management into a quantitative science. It clearly discusses many important notions and facts from mathematics, finance, and insurance, showing how these areas are interconnected. The text includes exercises, along with hints and selected solutions.

Taylor & Francis

Risk Assessment and Decision Analysis with Bayesian Networks

9781439809105 04.12.2012 Oprawa: twarda

£ 41,99

Norman Fenton

Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models.

Taylor & Francis


www.abe.pl 13

Short-Memory Linear Processes and Econometric Applications

9780470924198 27.05.2011 Oprawa: twarda

£ 83,50

Kairat T. Mynbaev

This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic trends, as well as some specifications of spatial matrices in the theory of spatial models. The book begins with central limit theorems (CLTs) for weighted sums of short memory linear processes. This part contains the analysis of certain operators in Lp spaces and their employment in the derivation of CLTs. The applications of CLTs are to the asymptotic distribution of various estimators for several econometric models. Among the models discussed are static linear models with slowly varying regressors, spatial models, time series autoregressions, and two nonlinear models (binary logit model and nonlinear model whose linearization contains slowly varying regressors). The estimation procedures include ordinary and nonlinear least squares, maximum likelihood, and method of moments.

Wiley

Statistical and Econometric Methods for Transportation Data Analysis

9781420082852 09.12.2010 Oprawa: twarda

£ 69,99

Simon P. Washington

Now in its second edition, this book describes tools that are commonly used in transportation data analysis. The first part of the text provides statistical fundamentals while the second part presents continuous dependent variable models. With a focus on count and discrete dependent variable models, the third part features new chapters on mixed logit models, logistic regression, and ordered probability models. The last section provides additional coverage of Bayesian statistical modeling, including Bayesian inference and Markov chain Monte Carlo methods. Data sets are available online to use with the modeling techniques discussed.

Taylor & Francis

Statistical and Machine-Learning Data Mining

9781439860915 31.01.2012 Oprawa: twarda

£ 52,99

Bruce Ratner

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses.

Taylor & Francis

Statistical Methods for Financial Engineering

9781439856949 05.04.2012 Oprawa: twarda

£ 57,99

Bruno Remillard

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Levy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications. This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry.

Taylor & Francis

Statistical Methods in Customer Relationship Management

9781119993209 28.09.2012 Oprawa: twarda

£ 60,00

Viba Kumar

Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead to future firm profitability, with emphasis on developing an understanding of Customer Relationship Management (CRM) models as the guiding concept for profitable customer management. To understand and explore the functioning of CRM models, this book traces the management strategies throughout a customer's tenure with a firm. Furthermore, the book explores in detail CRM models for customer acquisition, customer retention, customer acquisition and retention, customer churn, and customer win back. Statistical Methods in Customer Relationship Management: Provides an overview of a CRM system, introducing key concepts and metrics needed to understand and implement these models. Focuses on five CRM models: customer acquisition, customer retention, customer churn, and customer win back with supporting case studies. Explores each model in detail, from investigating the need for CRM models to looking at the future of the models.

Wiley

Statistical Techniques for Project Control

9781420083170 18.01.2012 Oprawa: twarda

£ 63,99

Badiru

A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrates qualitative and quantitative tools and techniques for project control. It fills the void that exists in the application of statistical techniques to project control. The book begins by defining the fundamentals of project management then explores how to temper quantitative analysis with qualitative human judgment that makes project control nebulous but also offers opportunities to innovate and be creative in achieving control. The authors then discuss the three factors (time, budget, and performance) that form the basis of the operating characteristics of a project that also help determine the basis for project control. They then focus on computational network techniques for project schedule (time) control.

Taylor & Francis


14 www.abe.pl

Statistics and Data Analysis for Financial Engineering

9781441977861 17.11.2010 Oprawa: twarda

€ 89,95

David Ruppert

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.

Springer

Stochastic Calculus for Finance

9780521175739 23.08.2012 Oprawa: miękka

£ 24,00

Marek Capinski

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Ito integrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Ito formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Ito calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.


Stochastic Finance: A Numeraire Approach

9781439812501 04.01.2011 Oprawa: twarda

£ 46,99

Jan Vecer

Unlike much of the existing literature, Stochastic Finance: A Numeraire Approach treats price as a number of units of one asset needed for an acquisition of a unit of another asset instead of expressing prices in dollar terms exclusively. This numeraire approach leads to simpler pricing options for complex products, such as barrier, lookback, quanto, and Asian options. Most of the ideas presented rely on intuition and basic principles, rather than technical computations. The first chapter of the book introduces basic concepts of finance, including price, no arbitrage, portfolio, financial contracts, the First Fundamental Theorem of Asset Pricing, and the change of numeraire formula. Subsequent chapters apply these general principles to three kinds of models: binomial, diffusion, and jump models. The author uses the binomial model to illustrate the relativity of the reference asset. In continuous time, he covers both diffusion and jump models in the evolution of price processes. The book also describes term structure models and numerous options, including European, barrier, lookback, quanto, American, and Asian.

Taylor & Francis

Stochastic Financial Models

9781420093452 20.01.2010 Oprawa: twarda

£ 46,99

Douglas Kennedy

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations rather than seeking the greatest generality. Developed from the esteemed author's advanced undergraduate and graduate courses at the University of Cambridge, the text begins with the classical topics of utility and the mean-variance approach to portfolio choice. The remainder of the book deals with derivative pricing. The author fully explains the binomial model since it is central to understanding the pricing of derivatives by self-financing hedging portfolios. He then discusses the general discrete-time model, Brownian motion and the Black-Scholes model. The book concludes with a look at various interest-rate models. Concepts from measure-theoretic probability and solutions to the end-of-chapter exercises are provided in the appendices.

Taylor & Francis

Stochastic Methods for Pension Funds

9781848212046 27.01.2012 Oprawa: twarda

£ 113,00

Pierre de Volder

Quantitative finance has become these last years a extraordinary field of research and interest as well from an academic point of view as for practical applications. At the same time, pension issue is clearly a major economical and financial topic for the next decades in the context of the well-known longevity risk. Surprisingly few books are devoted to application of modern stochastic calculus to pension analysis. The aim of this book is to fill this gap and to show how recent methods of stochastic finance can be useful for to the risk management of pension funds. Methods of optimal control will be especially developed and applied to fundamental problems such as the optimal asset allocation of the fund or the cost spreading of a pension scheme. In these various problems, financial as well as demographic risks will be addressed and modelled.

Wiley

Stochastic Processes with Applications to Finance, Second Edition

9781439884829 22.05.2013 Oprawa: twarda

£ 57,99

Masaaki Kijima

This updated new edition presents an accessible treatment of the theory of discrete stochastic processes and their applications in finance. By presenting important results in discrete processes and showing how to transfer those results to their continuous counterparts, the text imparts an intuitive and practical understanding of the subject. It thoroughly explores applications to the pricing of derivative securities, corporate bonds, and credit derivatives. The book is suitable as a graduate-level text or as a reference for professionals in financial engineering, operations research, and mathematical and statistical finance.

Taylor & Francis


www.abe.pl 15

Technical Analysis of Stock Trends

9781439898185 04.01.2013 Oprawa: twarda

£ 63,99

Robert D. Edwards

Sixty-three years. Sixty-three years and Technical Analysis of Stock Trends still towers over the discipline of technical analysis like a mighty redwood. Originally published in 1948 and now in its Tenth Edition, this book remains the original and most important work on this topic. The book contains more than dry chart patterns, it passes down accumulated experience and wisdom from Dow to Schabacker, to Edwards, and to Magee, and has been modernized by W.H.C. Bassetti. Bassetti, a client, friend, and student of John Magee, one of the original authors, has converted the material on the craft of manual charting with TEKNIPLAT chart paper to modern computer software methods. In actuality, none of Magee's concepts have proven invalid and some of his work predated modern concepts such as beta and volatility. In addition, Magee described a trend-following procedure that is so simple and so elegant that Bassetti has adapted it to enable the general investor to use it to replace the cranky Dow Theory.

Taylor & Francis

The Black-Scholes Model

9781107001695 13.09.2012 Oprawa: twarda

£ 50,00

Marek Capinski

The Black-Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study.


The Practice of Statistics for Business and Economics

9781429290142 01.01.2011 Oprawa: twarda

£ 52,99

Immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data to provide a context for tackling modern business problems, it introduces a range of core ideas early - including data production and interpretation.

Palgrave MacMillan

The Statistical Theory of Linear Systems

9781611972184 26.04.2012 Oprawa: miękka

£ 65,00

Edward James Hannan

Originally published in 1988, this classic text treats the identification of noisy (multi-input and multi-output) linear systems, particularly systems in ARMAX and state space form. The book covers structure theory, including identifiability, realisation and parameterisation of linear systems; analysis of topological and geometrical properties of parameter spaces and parameterisations for estimation and model selection; Gaussian maximum likelihood estimation of real-valued parameters of linear systems; model selection; calculation of estimates; and approximation by rational transfer functions. This edition includes an extensive new introduction that outlines developments since the book's original publication, such as subspace identification, data-driven local coordinates and the results on post-model-selection estimators. It also provides a section of errata and an updated bibliography. Researchers and graduate students studying time series statistics, systems identification, econometrics and signal processing will find this book useful for its interweaving of foundational information on structure theory and statistical analysis of linear systems.


Time Series: Applications to Finance with R and S-Plus(R)

9780470583623 22.10.2010 Oprawa: twarda

£ 76,95

Ngai Hang Chan

This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world.It covers theory and application equally for readers from both financial and mathematical backgrounds. The book offers succinct coverage of standard topics in statistical time series -- such as forecasting and spectral analysis -- in a manner that is both technical and conceptual. An author website provides instructor notations and additional software subroutines, as well as complete solutions to the exercises in the text.

Wiley

Understanding Business Research

9781118134269 02.10.2012 Oprawa: twarda

£ 86,95

Bart L. Weathington

Designed to assist readers in the fields of business, finance, and management science, this book provides step-by-step coverage of the research process including research design, models for design, statistical considerations, and guidance on writing and presenting results. Filled with simple explanations, real-world examples, and numerous illustrations to help readers understand complex and abstract concepts, this is an ideal book for MBA-level students, as well as researchers and practitioners who want understand and utilize qualitative and quantitative research methods in applied scenarios.

Wiley

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