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Quantitative methods in risk management Introduction part 1

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  • Quantitative methods

    in risk management

    Introduction part 1

  • Pavol Jura

    [email protected]

    Miestnos: M266 (konzultan hodiny len po dohode)

    Web: http://www.iam.fmph.uniba.sk/institute/jurca

    Pracovisko: Nrodn banka Slovenska

    Odbor regulcie a finannch analz

    Macroprudential analysis section

    (analytik rizk)

    Externe: KAM

  • Main topics

    Motivation and objective of this course

    Light intro to risk management

    Process of risk identification, management and measurement

    Problems in risk management

    Problematic / controversial assumptions

    Impact of the ongoing crisis on risk management

  • Motivation

    Risk management departments frequent career start after

    graduating from EFM

    2010/2011 and 2011/2012: around one third out of 50 offers in the field of

    risk management

    Link between theoretical knowledge and practice

    Each year 1-3 defended diploma theses in the are of risk management

    application (2008 8 theses!)

    Exploiting of the main benefits of: focus on quantitative methods

    Opportunities for further development of methods many things have

    been affected by the crisis

    Complex mathematical formulas appearing directly in the laws!

  • Mathematics in laws

    Decree no. 4/2007 on the bank's capital requirements and the

    capital [], 43, para. 2, letter a):

  • Mathematics in laws Decree no. 4/2007 on the bank's capital requirements and the

    capital [], 147, para. 1:

  • ... even in street names!

  • Course objectives

    Overview of quantitative methods that are used or could be used in

    risk management

    More focus on broad overview than technical details

    Strong emphasis on practical applicability: the application of

    methods (examples in Excel, Eviews, Matlab, brief description of

    specific problems addressed in NBS)

    Use your existing knowledge of mathematics and statistics to

    understand the basic assumptions, strengths and weaknesses of

    each method

    Possibilities for further research (a diploma thesis, PhD?)

    However, the objective is not to learn risk management as a whole

    (we will skip qualitative requirements, the organization's internal

    processes, data processing, legislation, personal skills of a risk

    manager ...)

  • Grading principles / examination

    The course evaluation is based on a PROJECT (70 %) practical

    part:

    Will be specified in the next few weeks

    Risk analysis of a simple portfolio, comparison of several methods

    Possible work in pairs

    Deadline: beginning of december

    Written TEST (30 %) theoretical part:

    The main focus on a comprehensive overview and understanding of the

    lectures

    Date: half of december

    Strict policy of honour code adherence!

  • Grading principles / examination

    Grading scale

    A: At least 90

    B: At least 80, but less than 90

    C: At least 70, but less than 80

    D: At least 60, but less than 70

    E: At least 50, but less than 60

    FX: Less than 50

  • Course sylabus

    The "classic" risk measure - Value at Risk

    Methods for generating stress scenarios in case of multidimensional data

    principal components analysis

    models based on a mixture of several normal distributions

    Methods for modeling of a dependence structure - copulas

    Credit risk measurement (different approaches)

    Credit derivatives and their valuation

    Dealing with extreme events - extreme value theory

    Appendix: The models used in the management of operational risk and in

    (non-life) insurance

  • Main literature

  • Your feedback

    Your (early) feedback is crucial in order to organize the course in

    such a way that you can benefit from it as much as possible

    Hence, any feedback would be

    very appreciated at any time!

  • Process of risk management

    Identification of risks

    Where and what type of risk?

    What are the risk factors?

    Each individual transaction includes several types of risks!

    Risk Measurement

    The system allows the measurement (data collection, internal processes ...)

    Appropriate quantitative techniques - intensity proportional materiality

    Risk Management

    Determination of the strategy, what I want to embrace risk (risk appetite)

    Limits chosen level of risk for the operation

    Stress testing

    Back-testing

    Mitigation (risk mitigation, hedging)

  • What is a (financial) risk?

    Financial risk = a potential future financial loss related to a given financial

    isntrument or to a given portfolio of financial instruments

    The definition is not harmonized!

    Unexpected profits?

    Expected loss? [initial loan loss provisions to a new loan]

    Losses already incurred, but still not calculated / reported? [increase in

    unemployment]

    Opportunity costs?

    [I have a mortgage with a five-year fixation of rate, but the interest rate start to decline]

    What is the appropriate loss benchmark?

    [the bank incurred losses due to a jump in unemployment rate, although lower than expected]

    Two basic (and relatively independent) parts of risk:

    Probability of an event

    Size of the potential impact

  • What is a (financial) risk?

    General principle:

    A risk is related to uncertainty

    Combination of techniques from financial mathematics, probability theory,

    statistics, time series analysis, actuarial mathematics and stochastic

    processes theory

    The term stochastic comes from Greek:

    Stochazesthai = to aim, to guess

    Stochastikos = good at aiming ( = aim)

  • Basic principles of bank regulation

    In principle, banks can take any size of risk, but it has to be sufficiently

    covered by their own funds (i.e. capital)

    Capital adequacy ratio:

    (however, the European banking authority currently expects at least 9%)

    Examples:

    Traditional corporate loan: 8% covered by own funds (risk weight: 100%)

    Equity investment: 12 % covered by own funds

    Mortgage loan: 4 % covered by own funds (risk weight 50%)

    Interbank claim: 1.6 % covered by own funds (risk weight 20%)

    Slovak government bond: 0 % covered by own funds (risk weight 0%)

    %8assets weighted-risk

    fundsown

  • Risk weights (generally) depends on the debtors credit quality

    Approaches

    Standardized approach

    Using of a banks proprietary model (internal rating based approach)

    Demanding qualitative criteria (mainly for internal processes, data quality

    etc.)

    Upon prior approval by the competent regulatory authority (NBS)

    Theoretically, lower capital requirement (conditional on specific cases)

    Regulatory requirements do not replace a well-established risk

    management

    A bank is obliged to cover ALL significant risks (including such as

    strategic risk, legal risk, reputational risk

    So-called internal (economic) capital concept

    Basic principles of bank regulation

  • Annual report 2010, VB

    Basic principles of bank regulation

  • Legislative implementation:

    BAZILEJ II (New Basel Capital Accord)

    Non-binding international agreement for large internationally active banks

    Basel committee for banking supervision, 2004, Bank for International Settlement

    link: http://www.bis.org/publ/bcbsca.htm

    Capital requirement directive (2006/48/EC a 2006/49/EC) implemented Basel II in EU law

    SR:

    Law on banks (No 483/2001 as amended...)

    NBS Decree No. 4/2007 on the bank's capital requirements and the capital []

    Basic principles of bank regulation

    http://www.bis.org/publ/bcbsca.htm

  • Basel II scheme

  • Types of risks

    Main risks:

    Credit risk

    Market risks

    Counterparty risk

    Operational risk

    Liquidity risk

    Additional risks

    Strategic risk

    Legal risk

    Reputational risk

    Model risk

    Systemic risk

  • Credit risk

    Credit risk = a risk that a borrower fails to deliver payments which he

    or she is obliged to pay in case of different type of claims (bonds,

    loans, settlement of financial derivatives ...) because he or she is

    unable or unwilling to do so

    In addition this "traditional" concept, credit risk also includes, e.g.:

    Settlement risk

    Risk from guarantees granted

    The risk related to unused overdraft facility (eg credit cards)

    The risk of a bond impairment due to a reduction in the credit rating of

    the issuer

    Example of settlement risk: Dexia Banka Slovensko,a.s., 2008 (loss

    amount: 82 mil. EUR)

    Source: http://firmy.etrend.sk/firmy-a-trhy-financny-sektor/slovenska-

    dexia-prisla-o-miliardy-korun.html

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  • Market risks Market risk = a risk of an adverse impact of movements in market factors

    (equity prices, interest rates, FX rates, commodity prices) on the value of

    financial instruments

    Market risk types

    Interest rate risk

    Equity risk

    FX risk, currency risk (crisis => re-denomination risk)

    Commodity risk

    Credit spread risk

    Different types of impacts:

    General risk (overall market) vs. specific risk (only the relevant counterparty)

    Changing values, prices, volatilities, ...

    Further impacts: Change in the shape of yield curve, change in dividend

    policy

  • Interest rate risk Various type of interest rates - EURIBOR, EUR-LIBOR, FRAs, swaps,

    bonds, loans, deposits

    Construction of the yield curve by combining different financial instruments

    Technical issues

    Different day convention

    Liquidity of different instruments

    Many risk factors: inflation, banks credibility, sovereign risk, expectations

    about the development of the economy, monetary policy, banks interest

    rate policy

    Two views on interest rate risk:

    Bond revaluation risk

    Risk of changes in interest income

    Example: A five-year bond with a variable coupon, parallel upward shift of

    the yield curve:

    In the beginning: the reduction in the fair value

    Later: gradual increase of the real value to the nominal (after 1 year), then the

    increase in interest income related to coupon payments

  • Operational risk Operational risk includes:

    Improper or faulty internal processes in the bank

    Human error

    Failure of the banks internal system

    External or internal fraud

    External events (eg natural disasters)

    Closely associated with the functioning of internal processes (focus on qualitative side)

    Difficult to measure

    it is present everywhere, but the identification of proper loss amounts is tricky

    extreme events, potentially very high impact

    Example: Calculate the extent to which the bank is exposed to losses caused by earthquake damage or internal fraud

    e.g. loss of 4.9 billion. at Socit Gnrale (Jrme Kerviel, 2008)

  • Liquidity risk

    Liquidity risk = potential loss due to the fact that the bank is unable

    to meet its obligations on the contractual basis due to a lack of liquid

    funds

    Key aspects:

    Short-term liquidity risk

    Bank for insufficient funds to pay obligations when they are due no liquid

    assets that could be sold without much loss

    Market liquidity risk

    Example: A bank needs to sell its securities to obtain sources of liquidity (fire

    sales), but the stock market is not liquid enough (only a small volume might

    be sold at the quoted price, then the price drops)

    The problem in turbulent market (widening bid-ask spread)

    Funding liquidity risk

    Example: The bank is financed by short-term interbank deposits constantly

    renewed. At the time of distrust between banks, it might be significantly

    more expensive to continue with these funds