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    A

    PROJECT REPORT

    ON

    INVESTMENT BEHAVIOR OF THE CLIENT OF THE

    SHARE KHAN LTD TOWARDS EQUITY DERIVATIVE

    MARKET.

    UNDERTAKEN AT

    SHAREKHAN LTD, BARODA

    Submitted By:

    MR.YAKUBKHAN KARAMATI

    Guided By:

    MRS. KUNJAL SINHA

    ENROL.NO:1107050592114

    MBA (2012-13)

    C.K.S.V.I.M INSTITUTE OF MANAGEMENTS

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    DECLARATION

    I here by declare that the summer project report titled Investment

    behavior of the clients of the SHAREKHAN LTD. Towards equity derivative market is

    based on original piece of work done by me for the fulfillment of degree of Master of

    Business Administration and whatever information has been taken from any sources had

    been duly acknowledge.

    I further declare that the personal data & information received from any

    respondent during survey has not been shared with any one and is used for academic

    purpose only.

    Date: Yakubkhan karamati

    Place: Enrol.no:117050592114

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    PREFACE

    For a management student training plays an important role during his/her

    study. Training provides a corporate or real world platform to learn practically. MBA

    degree without any training or corporate world experience is just like life without oxygen.

    So industrial training provides a great learning experience about management concepts

    and its applications.

    This training provides us an opportunity to know the current market. To

    know the current market situations, prevailing competitions, behavioral environment of

    different people etc. It provides us a platform whereby we can apply our theoretical

    knowledge and we can solve many practical problems. And hence it can help us to be asuccessful manager in future.

    Thanks to all those who directly or indirectly help me to complete this

    project within a short time limit . For preparation of this report I would like to thanks to

    faculty members of our college and staff members of SHARE KHAN LTD. I would like

    to specially thanks to Mr. Nirav Patel {Branch manager}, Mr.Anish vaidhya {Assistant

    Branch Manager} who were become so helpful me during my summer project.

    Mr. Yakubkhan

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    A C K N O W L E D G E M E N T

    There is a fact that none of the human being in this world is 100%

    perfect and in order to gain some perfectness in itself an individual surely needs a helping

    hand. The same was with me with respect to the project that I was undergoing during this

    session of 2 months. As I too was illiterate with this research topic that I selected for my

    research at the initial stages, I got acquainted with it slowly and steadily through efforts

    and surely from various intelligent and helpful personalities. I would like to extend my

    heartily thanks to all of them through this acknowledgement.

    To start with, I would like to thanks to Mr. Nirav Patelbranch manager

    and MR. Anish Vaidhya (Assistant Branch Manager) of SHAREKHAN LTD,

    BARODA who have been source of constant inspiration and encouragement to me who

    have from time to time offered valuable suggestion and ideas.

    I would also like to thanks to Mr. Nilesh Solanki and Mr. Samir

    Chaudhry (Assistant manager)for giving me necessary guidelines.

    I personally would like to thanks my training coordinator Mr. Ankit

    Shah our Faculty for assisting me throughout the project period, guiding me and assisting

    at various stages and thus sharing his valuable knowledge with me to enhance my

    knowledge and helping me in preparing a project.

    I would also like to thanks all the Faculty members, who directly or

    indirectly help me to successfully complete my project.

    I would also like to extend my thanks to all the respondents who spared

    their valuable time and helped me in filling up the questionnaire by providing the needed

    information.

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    EXECUTIVE SUMMARY

    Days were gone when people only invest their money in post or in banks. Today

    people have several choices for the investment. One of the most emerging choices is to

    invest in shares (equities). To get good return on investment people are ready to take

    risks. For that they now gradually are starting to invest in equities. To start investment in

    equities people need Demat, Trading and bank account. As one can open his / her Demat

    account, he/she also can access trading account as both are collectively used for trading in

    equities.

    After trading in derivative market investors getting loss more than profit. so it become

    risky to invest in cash market. So transferring the risk , to hedge the risk, and forspeculating derivative market come into picture in 1970s. they accounted for about two

    third of total transaction in derivative product. In recent years the market for financial

    derivatives has grown tremendously in terms of variety of instrument available , their

    complexity and also turnover . In the class of equity derivatives the world over futures

    and options on stock indices have gained more popularity than on individual stocks,

    especially among institutional investors , who are major users of the index linked

    derivatives. Even small investors find their useful due to high correlation of the popular

    indexes with various portfolio and ease of use.

    If the investors are trading in derivative market than what criteria they consider while

    they are investing in derivative market? What is the objective of the investors while they

    are trading in derivative market? What is their preference? What is the preference in

    terms of trading? How company can utilize various aspects like which criteria customers

    prefer, their needs and wants, which parameters of services they prefer as important etc.

    Such information is used to satisfy customers needs and wants and also to switch non

    users to users. Also here I have try to know the level of satisfaction of Share khans

    clients and their suggestions. So that Share khan can serve its clients effectively.

    So I conduct the survey to know the behavior of the client of the share khan ltd. So

    share khan ltd can provide effective service to their customers.

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    TABLE OF CONTENTS

    Sr. No. TOPIC Page

    No.

    1.0 INTRODUCTION

    1.1 Company Profile

    1.2 Literature Review

    1.3 Conceptual framework

    2.0 RESEARCH METHODOLOGY

    2.1 Problem Statement

    2.2 Research Objectives

    2.3 Research Methodology

    2.4 Research Design

    2.5 Data Collection method

    2.6 Sampling Design

    2.7 Statistical Tests to be used

    2.8 How to conduct Statistical test

    3.0 ABOUT DERIVATIEVS

    4.0 DATA ANALYSIS & INTERPRETATION

    5.0 FINDINGS

    6.0 RECOMMANDATIONS

    BIBLIOGRAPHY

    APPENDIX

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    1.1: SHARE BROKING SERVICE SECTOR PROFILE:

    There are several national as well as local players in stock trading services which are

    providing various services to their customers like online trading, portfolio management

    system, stock broking etc. Among them several national level players.

    KEY PLAYERS:

    5Paisa.com- Online trading, live stock quotes and market research

    Advani Share Brokers- Share broking and market research services

    Anand Rathi Securities- Portfolio management, corporate finance, equity & fixed

    income brokerage services

    Brescon Group- Advisory and broking services

    CIL Securities- Stock broking & merchant banking services

    CRN India- Trends of stock market, trading tips, chat etc

    Churiwala Securities- Stock trading, quotes and market analysis

    DSP Merrill Lynch - Investment banking and brokerage services

    Dalmia Securities- Stock broking & depository services

    EquityTrade- Stock trading, company news & market research

    Gandhi Securities- Stock broking and investment services

    Gogia Capital Services- Stock broking and market analysis

    Hasmukh Lalbhai- Stock trading services

    Idafa Investments- Stock broking services India Market Access - Offers stock broking, portfolio management and

    investment banking services

    Investsmart India- Personal finance advisory & online brokerage services

    Kisan Ratilal Choksey Shares- Stock broking and e-trading services

    Kotak Securities- Brokerage services & retail distributor of financial securities

    Manubhai Mangaldas Securities- Stock broking and market analysis

    Moneypore- Investment and broking services

    Motilal Oswal- Online trading, live BSE and NSE quotes

    Navia Markets- Stock broking, IPO and mutual funds services

    Parag Parikh- Stock broking and portfolio management

    Parsoli Corporation- Investment management & stock trading services

    Pratibhuti Viniyog- Stock broking services

    Prudential- Investment management services

    Quantum Securities- Offers broking and portfolio management services.

    Sivan Securities- offers services related investment banking & stock broking with

    a focus on South India.

    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    1.2: COMPANY PROFILE:

    SSKI HISTORY

    Founded in 1922, it is one of Indias oldest brokerage houses having over Eighty

    years of broking experience.

    Founding member of the Stock Exchange, Mumbai and pioneer institutional

    broker.

    SSKI is the only domestic player in a market crowded by 44 multinational

    securities firm.

    Foray into institutional broking and corporate finance 20 years ago. SSKI group

    also comprises Institutional broking division caters to the largest domestic and

    foreign institutional investors, the corporate finance division focuses on niche

    areas such as infrastructure, telecom and media. SSKI holds a sizeable portion of

    the market in each of these segments.

    Forerunner of investment research in the Indian market, SSKI provide the best

    research coverage amongst broking houses in India. The companys research team

    was set up in December 1992 and is rated as one of the best in the country. Votedfour times as the top domestic brokerage house by Asia money survey, SSKI is

    consistently ranked amongst the top domestic brokerage houses in India.

    Retail broking started in 1985.

    Research group was set up in December 1992.

    It acts as a pioneer if investment research in the Indian market aimed at generating

    quick investment ideas.

    Group interest Investment Banking, Institutional Broking and Retail Broking.

    It occupies 65% of business share from foreign institutional investors.

    SSKI named its online division as Sharekhan on February 8, 2000 coinciding

    with the launch of its website.

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    COMPANY PROFILE

    Share khan is a share broking and retail broking arm of SSKI, an organization with more

    than 80 years of trust and credibility in the stock market. Retail Distribution Started In1998. SSKI is a veteran equities solutions company with over 8 decades of experience in

    the Indian stock markets. It helps the customers/people to make informed decisions and

    simplifies investing in stocks. Sharekhan brings to you a user- friendly online trading

    facility, coupled with a wealth of content that will help you stalk the right shares. SSKI

    named its online division as a Sharekhan and it is into retail broking. The business of the

    company overhauled 6 years ago on February 8, 2000. It acts as a discount brokerage

    house to a full service investment solution provider. It has specialized research product

    for the smallinvestors and day traders. Sharekhan has a shop in 137 cities across India.

    Though the portal sharekhan.com, have been providing investors a powerful

    online trading platform, the latest news, research and other knowledge-based tools for

    over five years now.

    We have decided teams for fundamental and technical research so that you

    get all the information you need to take the right investment decisions.

    With branches and outlets across the country, our ground network is one of

    the biggest in India!

    They have talent pool of experienced professionals specially designated toguide you when you need assistance, which is why investigating with us is bound to be

    a hassle-free experience for you!

    The Sharekhan provides its customers First Step program, built specifically

    for new investors, is testament to our commitment to being your guide throughout your

    investing lifecycle

    They have 640 share shops across 280 cities in India to get a host of trading

    related servicesour friendly customer service staff will also help you with any account

    related queries you may have.

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    ABOUT SHAREKHAN

    SSKI named its online division as SHAREKHAN and it is into retail broking.

    The business of the company overhauled 6 years ago on February 8, 2000.

    It acts as a discount brokerage house to a full service investment solutions

    provider.

    It has specialized research product for the small investors and day traders.

    Largest chain of share shops, 310 shares, shops in 137 cities across India.

    The site was also launched on February 8, 2000 and named it as

    www.sharekhan.com.

    The Speed Trade account of Sharekhan is the next generation technology product

    launched on April 17, 2002.

    It offers its customers with the trade execution facilities on the NSE and BSE, for

    cash as well as derivatives, depository services.

    Ensures convenience in Trading Experience: Sharekhans trading services are

    designed to offer an easy, hassle free trading experience, whether trading is donedaily or occasionally. The customer will be entitled to a host of value added

    services in the investment process depending on his investing style and frequency

    offers a suite of products and services, providing the customers with a multi-

    channel access to the stock markets.

    It gives advice based on extensive research to its customers and provides them

    with relevant and updated information to help him make informed about his

    investment decisions.

    Sharekhan offers its customers the convenience of a broker-DP.

    It helps the customers meet his pay in obligations on time thereby reducing the

    possibility of auctions. The company believes in flexibility and therefore allows

    accepting late instructions without any extra charge. And execute the instruction

    immediately on receiving it and thereafter the customer can view his updated

    account statement on Internet.

    http://www.sharekhan.com/http://www.sharekhan.com/http://www.sharekhan.com/
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    Sharekhan depository services offer Demat services to individual and corporate

    investors. It has a team of professionals and the latest technological expertise

    dedicated exclusively to their Demat department. A customer can avail of Demat,

    repurchase and transmission facilities at any of the Sharekhan branches and

    business partners outlets.

    BRAND NAME

    The company as a whole in its offline business has named itself as SSKI Securities

    Private LimitedSevaklal Sevantil al Kanti lal I shwar lal Secur iti es Pri vate L imi ted. The

    company has preferred to name themselves under a blanket family name.

    But in its online division started since 1997, the company preferred to name itself as

    SHAREKHAN. The Brand name SHAREKHAN itself suggests the bus iness in

    which the company is dealing so that the customer could easily identify the product or

    service category.

    CORE SERVICES OF SHAREKHAN

    1. Equity and Derivative Trading on BSE and NSE.

    2. Depository Services.

    3. Online Trading.4. IPO Services.

    5. Commodities Trading on MCX and NSDEX.

    6. Portfolio Management Services.

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    SERVICES PROVIDED BY SHAREKHAN

    Online Services

    Offline Services

    Depository Services

    Equity and Derivatives Trading

    Fundamental Research

    Technical Research

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    Portfolio Management

    Commodities Trading

    Dial-n-trade

    Share shop

    1. Online Services:

    Mutual Funds

    Commodity Futures

    PMS

    Technical PMS

    Demat Services

    Share shops

    2. Offline Services:

    Trading with the help of Dealer Trading without credit

    By calling to the Share shops

    Credit facility (Only in Delivery-based)

    T+2 facility

    Special website for Offline Clients: www.mysharekhan.com

    Physical contract notes

    Types of Account

    Classic A/c

    Speed-trade

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    Classic A/c:

    Features of Classic A/c:

    Online trading account for investing in Equities and Derivatives

    via sharekhan.com.

    Integration of: Online trading + Bank + Demat account.

    Instant cash transferfacility against purchase & sale of shares.

    Make IPO bookings.

    You get Instant order and trade confirmations by e-mail

    Streaming Quotes.

    Personalized Market Scan with your own customized stock ticker.

    Single screen interface for cash and derivatives.

    Speed-trade:

    Features of Speed-trade:

    Instant order Execution & Confirmation

    Single screen trading terminal

    Real-time streaming quotes, tic-by-tic charts

    Market summary (most traded scrip, highest value and lots of other

    relevant statistics)

    Hot keys similar to a brokers terminal

    Alerts and reminders Back-up facility to place trades on Direct Phone lines

    Single screen interface for cash and derivatives

    Dial-n-trade:

    Features of Dial-n-trade:

    Two dedicated numbers for placing your orders with your cell phone or

    landline. Toll free number: 1-800-22-7050. For people with difficulty in

    accessing the toll-free number, we also have a Reliance number30307600

    which is charged at Rs. 1.50 per minute for STD calls.

    Automatic funds transfer with phone banking (for Citibank and HDFC

    bank customers).

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    Simple and Secure Interactive Voice Response based system for

    authentication.

    No waiting time. Enter your TPIN to be transferred to our telebrokers.

    You also get the trusted, professional advice of our teleprocess.

    After hours order placement facility between 8.00 am and 9.30 am

    (timings to be extended soon.

    SHARE KHAN LTD. AFFILIATED WITH BANKS

    Share khan has affiliation with 14 banks, which allows its customers to enjoy the facility

    of instant credit and transfer of funds from his savings bank account to his Sharekhan

    trading account. The Affiliated banks are as follows:

    HDFC BANK

    UTI BANK

    CITI BANKORIENTAL BANK OF COMMERCE

    IDBI BANK

    UBI BANK

    CORPORATION BANK

    STATE BANK OF INDIA

    AXIS BANK

    YES BANK

    ICICI BANK

    INDIAN OVERSEAS BANK

    DEUTSCHE BANK

    BANK OF INDIA

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    PROMOTION TOOLS AND ADVERTISEMENT OF SHAREKHAN

    1. Promotion

    Online share trading is totally a new concept in Indian market. Generally investor

    doesnt like to come from conventional way of share trading. Sharekhan has

    introduced this product in the concept and products are still new in the market.

    Therefore the company has undertaken extensive promotion campaign to create

    awareness about the product. Sharekhan adopts the following tools for promoting the

    product.

    Internet

    Tele Marketing

    Retail Share Shops

    Franchisee Owners

    Sales Force

    2. Advertising

    Company advertises its product through TV media on channels like CNBC,

    Print Media-in leading dailies and outdoors media. It advertises itself as an

    innovative brand with a cartoon of tiger-called SHERU. Besides attractive and

    colorful brochures as well as posters are used giving full details about the product.

    Mails are sent to people togging on to sites like moneycontrol.com and rediff.com.

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    SWOT ANALYSIS

    STRENGTHS

    Online Trading Facility

    Largest Chain of Retail Share Shops in India

    80 years of Experience in securities market

    Dedicated and responsive workforce/staff

    Value added service for HNI client

    Research Center

    Membership of NSE & BSE

    Trading option like Future & Option and Commodities

    Volume based differentiated product.

    WEAKNESSES

    Less informative website

    Does not have slab rate brokerage which is provided by competitors

    Problems due to network crash

    Unawareness Among Investors

    OPPORTUNITY

    Collaboration with international financial institution

    To tap the Untapped market

    To capture the market lost to its Competitors.

    To focus on developing a superior and powerful portal

    To spread awareness of its Brand Name.

    THREATS

    Follow government laws

    Severe Competition

    Competitors develops

    Prolonged depression and high volatility in the market

    New Entrants.

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    LITERATURE REVIEW

    Literature review helps to understand the topic thoroughly. It provides valuable insight in

    the topic. It helps for decision making about the problem. The information collected for

    the literature review should be relevant and valid as well as reliable. Literature review

    helps in removing the gaps between theory and the existing study. So in short to clean the

    rosy picture and to identify the clear cut solution literature review is helpful.

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    CONCEPTUAL FRAMEWORK

    As the research report is made on derivatives, it is essential to know about the Financial

    Derivatives and commodity derivatives. So, this chapter give brief idea about the

    essential element or basics of derivatives, based on which entire trading in market is

    done.

    However there are many types of financial derivatives like forward, futures, option,

    swap, swaptions warrants etc., the futures and option are more famous and widely used

    in equity and commodity derivatives. So, this chapter cover only concept of future and

    option. But it is essential to know about forward contract to make clear understanding of

    future and option, so this chapter also include the concept of the forward contract.

    In India, as per Section 19 of Forward Contract Regulation Act, 1952, option contracts

    in commodities are presently prohibited. Thus, presently the trading in commodities is

    done through only future contract in India. So, this chapter elaborates detail description

    on future contracts.

    In this chapter it also mentions the detail description of the risk management techniques

    used by various governing bodies (SEBI & FMC) and the general investors.

    Moreover, in the end of this chapter brief idea about commodity derivatives and

    difference between commodity derivatives and financial derivatives is given.

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    2) RESEARCH METHODOLOGY:

    2.1 RESERCH PROBLEM:

    INVESTMENT BEHAVIOUR OF THE CLIENTS OF THE SHARE KHAN LTD.

    TOWARDS EQUITY DERIVATIVE MARKET.

    2.2 RESEARCH OBJECTIVE:

    Primary objective:

    To know the investment behaviour of the client of the share khan ltd. Towards equity

    derivative market.

    :Secondary Objective:

    To know the investment pattern of the investors towards derivative market.

    To find out the preference level of the investors towards equity derivative market.

    To know the risk and return expectation of the investors from the derivative

    market.

    2.3 RESEARCH DESIGN:

    I have used the descriptive research design for the purpose of the survey as it will enable

    me to describe the characteristics of a particular individual & their tendency towards

    equity derivative market.

    2.4 SAMPLING METHOD:

    I have used the non probability convenience sampling method.

    2.5 SAMPLE SIZE :

    It would be better to have a sample of 200 people so that the population is properly

    presented & to cope up with the time limitation.

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    2.6 DATA COLLECTION METHOD :

    Primary Data collection :- Primary Data collection by the questionier.

    Secondary data collection:

    1. CIS {customer information system of the share khan ltd.

    2. VALUELINE magazine of the share khan ltd.

    2.7 DATA ANALYSIS:

    DATA analysis will be done using SPSS {Statistical Package for Social Science}this

    will be used because it gives us accurate & quick result.also multiple features of SPSS

    will help in applying various tests to reach to accurate conclusion.

    2.8 STATESTICAL TESTS TO BE USED:

    One sample T-Test:

    The One sample T-Test used to test whether the mean of a single variable

    differs from a specified constant. The average difference between each data value and the

    hypothesized test value, a ttest that tests this difference is 0, and a confidence level forthis test may either 95% or 90 %. One sample t-test is used when the type of data are

    intervalin nature .

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    3) History of derivatives

    The history of derivatives is surprisingly longer than what most people think. Some texts

    even find the existence of the characteristics of derivative contracts in incidents ofMahabharata. Traces of derivative contracts can even be found in incidents that date back

    to the ages before Jesus Christ.

    However, the advent of modern day derivative contracts is attributed to the need for

    farmers to protect themselves from any decline in the price of their crops due to delayed

    monsoon, or overproduction.

    The first 'futures' contracts can be traced to the Yodoya rice market in Osaka, Japan

    around 1650. These were evidently standardised contracts, which made them much like

    today's futures.

    The Chicago Board of Trade (CBOT), the largest derivative exchange in the world, was

    established in 1848 where forward contracts on various commodities were standardised

    around 1865. From then on, futures contracts have remained more or less in the same

    form, as we know them today.

    Exchange traded financial derivatives were introduced in India in 12, June 2000 at the

    two major stock exchanges, NSE and BSE. There are various contracts currently traded

    on these exchanges.

    National Commodity & Derivatives Exchange Limited (NCDEX) started its operations in

    December 2003, to provide a platform for commodities trading.

    The derivatives market in India has grown exponentially, especially at NSE. Stock

    Futures are the most highly traded contracts on NSE accounting for around 55% of the

    total turnover of derivatives at NSE, as on April 13, 2005.

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    3.1) WHAT ARE DERIVATIVES?

    Derivatives are instruments that derive their value from an underlying asset. The

    underlying can be a financial instrument, currency, or a commodity. Derivatives are

    financial contracts whose value/price is dependent on the behaviour of the price of one

    or more basic underlying assets (often simply known as the underlying).

    These contracts are legally binding agreements, made on the trading screen of stock

    exchanges, to buy or sell an asset in future. The asset can be a share, index, interest rate,

    bond, rupee dollar exchange rate, sugar, crude oil, soyabean, cotton, coffee and what

    have you.

    The largest appeal of derivatives is that they offer some degree of leverage. Leverage isa financial term that refers to the multiplication that happens when a small amount of

    money is used to control an item of much larger value. A mortgage is the most common

    form of leverage.

    Derivatives offer the same sort of leverage or multiplication as a mortgage. For a small

    amount of money, the investor can control a much larger value of company stock then

    would be possible without use of derivatives.

    This can work both ways, though. If the investor purchasing the derivative is correct,

    then more money can be made than if the investment had been made directly into the

    company itself. However, if the investor is wrong, the losses are multiplied instead.

    DERIVATIVE MARKETS

    Derivative Markets are broadly classified into two types namely,

    Financial Derivatives and

    Commodity Derivatives

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    3.2) FINANCIAL DERIVATIVES

    The derivatives traded on the Indian stock Exchange are Financial Derivatives, where

    the underlying is the index or the individual stock. They are traded in the Futures &

    Option (F&O) segment of National Stock Exchange (NSE) and The Stock Exchange,

    Mumbai (BSE). The derivatives markets is regulated by Securities and Exchange Board

    of India (SEBI).

    India has also been trading derivatives contracts in silver, gold, spices, coffee, cotton and

    oil etc for decades in the gray market. Trading derivatives contracts in organized market

    was legal before Morarji Desais government banned forward contracts.

    Derivatives on stocks were traded in the form of Teji and Mandi in unorganized markets.Recently futures contract in various commodities were allowed to trade on exchanges.

    For example, now cotton and oil futures trade in Mumbai, soybean futures trade in

    Bhopal, pepper futures in Kochi, coffee futures in Bangalore etc.

    Currently, there are 41 stocks that are taken as the underlying for Futures & Option in

    the National Stock Exchange(NSE). The NSE Nifty Index also can be assumed as any

    other stock for the purpose of Future or Option trading. These stocks have various

    market lots depending on their prices. The minimum contract size is Rs. 200000. The

    various market lots were decided on the basis that the contracts meet the minimum size

    criterion.

    33..33)) TTYYPPEESS OOFF DDEERRIIVVAATTIIVVEESS MMAARRKKEETT

    Derivative contracts are of different types. The four important types of derivatives are:

    1. Forward contract

    2. Futures

    3. Options

    4. Swap

    5. Swaptions

    6. Warrants

    7. Baskets

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    The difference between a share and derivative is that shares/securities are an asset while

    derivative instrument is a contract.

    Futures and options can be traded on stock exchanges. Let us discuss each of these in

    greater depth. However as mentioned earlier, for understanding future contract, it isnecessary to understand about forward contract. So, first of all we discussed about the

    forward contracts.

    3.3.1) Forward Contract

    A forward contract is an agreement in which two parties agree to undertake an

    exchange of the underlying asset at some future date at a pre-determined price.

    A forward contract is a customized contract between two parties, where settlement takes

    place on a specific date and at a price agreed in advance.So, a forward contract is the simplest mode of a derivative transaction. It is an agreement

    to buy or sell an asset (of a specified quantity) at a certain future time for a certain price.

    No cash is exchanged when the contract is entered into.

    Illustration 1:

    Mr. A wants to buy an A.C., which costs Rs 10,000 but he has no cash to buy it outright.

    He can only buy it 3 months hence. He, however, fears that prices of televisions will rise

    3 months from now. So in order to protect himself from the rise in prices Mr. A enters

    into a contract with the A.C. dealer that 3 months from now he will buy the A.C. for Rs

    10,000. What Mr. A is doing is that he is locking the current price of an A.C. for aforward contract. The forward contract is settled at maturity. The dealer will deliver the

    asset to Mr. A at the end of three months and Mr. A in turn will pay cash equivalent to

    the A.C. price on delivery.

    The salient features of forward contracts are:

    1. They are bilateral contracts and hence exposed to counter party risk.

    2. Each contract is custom designed, and hence is unique in terms of contract size,

    expiration date and the asset type and quality.

    3. The contract price is generally not available in public domain.4. On the expiration date, the contract has to be settled by delivery of the asset.

    5. If the party wishes to reverse the contract, it has to compulsorily go to the same

    counter-party, which often results in high prices being charged.

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    However forward contracts in certain markets have become very standardized, as in the

    case of foreign exchange, thereby reducing transaction costs and increasing transactions

    volume. This process of standardization reaches its limit in the organized futures market.

    Limitations of forward markets

    Forward markets world-wide are affected by several problems:

    Lack of centralization of trading

    Illiquidity

    Counterpart risk

    3.3.2) Futures Contracts

    Futures markets were designed to solve the problems that exist in forward markets.

    A futures contract is an agreement between two parties to buy or sell an asset at acertain time in the future at a certain price. But unlike forward contracts, the

    futures contracts are standardized and exchange traded.

    To facilitate liquidity in the futures contracts, the exchange specifies certain standard

    features of the contract. It is a standardized contract with standard underlying

    instrument, a standard quantity and quality of the underlying instrument that can be

    delivered, (or which can be used for reference purposes in settlement) and a standard

    timing of such settlement. A futures contract may be offset prior to maturity by entering

    into an equal and opposite transaction. More than 99% of futures transactions are offset

    this way. (Detail of the future contract is explained in next section of this chapter i.e.3.6)

    The standardized items in a futures contract are:

    Quality of the underlying

    Quantity of the underlying

    The date and the month of delivery

    The units of price quotation and minimum price change

    Location of settlementDistinction between futures and forwards contracts

    Forward contracts are often confused with futures contracts. The confusion is primarily

    because both serve essentially the same economic functions of allocating risk in the

    presence of future price uncertainty. However futures are a significant improvement over

    the forward contracts as they eliminate counterparty risk and offer more liquidity.

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    Distinction between futures and forwards

    FUTURES FORWARDS

    Trade on an organized Exchange OTC in nature

    Standardized contract terms Customized contract terms

    More liquid Less liquid

    Requires margin payments No margin payment

    Follows daily settlement Settlement happens at end of period.

    In the India, as per the regulation of Forward Market Commission, the trading in

    commodities is allowed through future contract only. So, we will discuss about future

    contract in detail in next section of this chapters.

    3.3. Option

    This is the best form of derivative, which is interesting as well as rewarding, as proper

    understanding of this instrument can help us in fetching very attractive returns. Some

    people remain puzzled by options. The truth is that most people have been using options

    for some time, because options are built into everything from mortgages to insurance.

    An option is a contract, which gives the buyer the right, but not the obligation to

    buy or sell shares of the underlying security at a specific price on or before a

    specific date. Option, as the word suggests, is a choice given to the investor to

    either honour the contract; or if he chooses not to walk away from the contract. So,

    an option buyer has the right to buy or sell, but not an obligation to do so.

    There are two types of options:

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    A Call Option is an option to buy a stock at a specific price on or before a certain

    date. In this way, Call options are like security deposits.

    If, for example, you wanted to rent a certain property, and left a security deposit for it,

    the money would be used to insure that you could, in fact, rent that property at the price

    agreed upon when you returned. If you never returned, you would give up your security

    deposit, but you would have no other liability. Call options usually increase in value as

    the value of the underlying instrument rises.

    When you buy a Call option, the price you pay for it, called the option premium, secures

    your right to buy that certain stock at a specified price called the strike price. If you

    decide not to use the option to buy the stock, and you are not obligated to, your only cost

    is the option premium.

    Put Options are options to sell a stock at a specific price on or before a certain date.

    In this way, Put options are like insurance policies

    If you buy a new car, and then buy auto insurance on the car, you pay a premium andare, hence, protected if the asset is damaged in an accident. If this happens, you can use

    your policy to regain the insured value of the car. In this way, the put option gains in

    value as the value of the underlying instrument decreases. If all goes well and the

    insurance is not needed, the insurance company keeps your premium in return for taking

    on the risk.

    With a Put Option, you can "insure" a stock by fixing a selling price. If something

    happens which causes the stock price to fall, and thus, "damages" your asset, you can

    exercise your option and sell it at its "insured" price level. If the price of your stock goes

    up, and there is no "damage," then you do not need to use the insurance, and, once again,your only cost is the premium. This is the primary function of listed options, to allow

    investors ways to manage risk.

    Thus, In case of call option, if prices go up after you have bought those options then you

    earn profit and if prices go down you loose to the extent of premium amount only. In

    case of put option, if prices go down after your purchase then you benefit whereas if

    prices go up then you loose to the extent of premium amount.

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    Based on above discussion, we can summarize feature of the option contract as under.

    BUYER OF THE OPTION

    CONTRACT

    (LONG POSITION)

    SELLER/WRITER OF THE

    OPTION CONTRACT

    (SHORT POSITION)

    Call Option Right to buy assets Obligation to sell assets

    Put Option Right to sell assets Obligation to buy assets

    Technically, an option is a contract between two parties. The buyer receives a privilege

    for which he pays a premium. The seller accepts an obligation for which he receives a

    fee.

    Both the types of options can be sold or bought. Selling an option, which is also known

    as option writing should be done very carefully. However option buying is a simplerproposition and also rewarding at the same time.

    An option which can only be exercised on the expiry date is called a EUROPEAN style

    option. Whereas the one which can be exercised at any time before the expiry is called

    an AMERICAN styled option. However after buying any of these options, if you feel

    like selling or buying them you can do that as they are freely traded on the stock

    exchanges. Sensex Index Options are European styled Option whereas options in 31

    scripts are American Options.

    3.3.4) Swaps

    Swap is an agreement between two parties to exchange different stream of cash flows in

    future according to predetermined formula.

    Swaps are private agreements between two parties to exchange cash flows in the future

    according to a prearranged formula. They can be regarded as portfolios of forward

    contracts.

    The two commonly used swaps are :

    I nterest rate swaps: These entail swapping only the interest related cash flows between

    the parties in the same currency.

    Cur rency swaps: These entail swapping both principal and interest between the parties,

    with the cash flows in one direction being in a different currency than those in the

    opposite direction.

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    3.3.5) Swaptions

    Swaptions are options to buy or sell a swap that will become operative at the expiry of the

    options. Thus a swaption is an option on a forward swap.

    3.3.6) Warrants

    Options generally have lives of up to one year, the majority of options exchanges having

    a maximum maturity of nine months. Longer-dated options are called warrants and are

    generally traded over-the-counter.

    3.3.7) Basket

    Basket options are options on portfolios of underlying assets are usually a moving

    average of a basket of assets. Equity index options are a form of basket options.

    3.5) COMMODITY DERIVATIVES

    A commodity is an undifferentiated product whosevaluearises from the owner's right to

    sell rather than the right to use.

    A commodity includes all kinds of goods. FCRA defines goods as every kind of

    movable property other than actionable claim, money and securities.

    Derivatives as a tool for managing risk first originated in the commodities markets. They

    were then found useful as a hedging tool in financial markets as well. In India, trading in

    commodity futures has been in existence from the nineteenth century with organized

    trading in cotton through the establishment of Cotton Trade Association in 1875. Over aperiod of time, other commodities were permitted to be traded in futures exchanges.

    Regulatory constraints in 1960s resulted in virtual dismantling of the commodities future

    markets. It is only in the last decade that commodity future exchanges have been

    actively encouraged. However, the markets have been thin with poor liquidity and have

    not grown to any significant level.

    http://en.wikipedia.org/wiki/Value_%28economics%29http://en.wikipedia.org/wiki/Value_%28economics%29http://en.wikipedia.org/wiki/Value_%28economics%29http://en.wikipedia.org/wiki/Value_%28economics%29
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    DATA ANALYSIS AND

    INTERPRETATION:

    Q.1 ARE YOU TRADING IN DERIVATIVE MARKET?

    Objective: To know that whether the investors are trading in derivative market or not.

    Frequency

    Graph:

    Frequencies Percentage

    Yes 74 37.0

    No 126 63.0

    Total 200 100.0

    Frequencies Percentage

    Yes 74 37.0

    No 126 63.0

    Total 200 100.0

    Frequencies Percentage

    Yes 74 37.0

    No 126 63.0

    Total 200 100.0

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    Inference: from the above graph out of 200 investors, only 37% investors means 74

    respondent are trading in derivative market and 63% means 126 respondents are not

    trading in derivative market.

    Q.2 Reasons for not investing in derivative market. {Give the rank}

    Objective: To know the reason why investors are not trading in trading in derivative

    market.

    Frequency

    Trading

    74

    126

    37

    63

    0

    20

    40

    60

    80

    100

    120

    140

    Yes No

    Trading

    percent/frequen

    cy

    Frequencies

    Percentage

    Reasons Frequency Percent

    Lack of knowledge 26 20.6

    Lack of awareness 19 15.1

    High risky 62 49.2

    Huge amount of

    investment

    17 13.5

    Other 2 1.6

    Total 126 100.0

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    Graph:

    Inference: From the above graphical representation you can see that 20.6% investors

    dont have the knowledge of the derivative market ,15.1% investors are not aware fromthe derivative market,49.2% investors think that trading in derivative is high risky.13.5%

    investors says that derivative require huge amount for trading in derivative market.

    whereas 1.6% investors dont have specify their reasons for not trading in derivative

    market.

    Q.3 what is the objective of trading in derivative market?

    Objective: To know that why they are trading in derivative market.

    High return:

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 2 1.0

    Neutral 2 1.0

    Some how preferred 5 2.5

    Most preferred 65 32.5

    Total 200 100

    0

    2619

    62

    17

    20

    20.615.1

    49.2

    13.5

    1.6

    0

    10

    20

    3040

    50

    60

    70

    Reasons Lack ofknowledge

    Lack ofawareness

    High risky Huge amountof investment

    Other

    percent/freq

    uency

    reasons

    Reason

    Series1

    Series2

    Series3

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    Graph:

    Inference: From the above graph we can say that 63% means 126 respondents are not

    trading in derivative market. While from the 200 only 74 are trading in derivative market.

    And from the 74 respondent 4 respondent means 2% respondent are neutral for the high

    return in derivative market. 2.5% investors are some how preferred High Return.

    One Sample T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.79). In other words, we hypothesize that the most of the investors

    are some how not preferred high return as their objective of investing in derivative.

    i.e. Ho : x = = 1.79

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred high return as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 1.79

    Statistical Test: one sample t-test is chosen because the measurement of data is interval

    in nature.

    Significance level: 0.05

    One-Sample Statistics

    High Return

    126

    2 2 5

    6563

    1 1 2.5

    32.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont trade Not at all

    preferred

    Neutral Some how

    preferred

    Most preferred

    preferred

    percent/frequen

    cy

    Frequency

    Percent

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    N Mean Std.

    Deviation

    Std. Error

    Mean

    HI.RTN 200 1.79 2.36 .17

    One-Sample Test

    Test Value = 2

    t d Sig. (2-

    tailed)

    Mean

    Differenc

    e

    95%

    Confidenc

    e Interval

    of the

    Differenc

    e

    Lower Upper

    HI.RTN -1.291 199 .198 -.22 -.54 .11

    Inference:

    Here the test is performed at 95% significance level and the t-value comes out as

    .198 which is grater than 0.05, it means that the null hypothesis H0 is accepted and

    alternative hypothesis is rejected and it can be said that there is no significant difference

    between calculated mean and hypothesized mean.

    Hedge the risk:

    Frequency

    Frequency Percent

    Valid Dont trade 126 63.0

    Not at all preferred 1 .5

    Some how not preferred 3 1.5

    Neutral 13 6.5

    Some how preferred 43 21.5Most preferred 14 7.0

    Total 200 100.0

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    Graph:

    Inference: from the above graph we can see that out of the 200 respondent 63% are not

    trading in derivative market. Where out of the 37% means 74 respondent are trading in

    the derivative market from the

    37% investors 0.5 % investors are not at all preferred the hedge the risk objective , 1.5%

    investors are somehow preferred this objective, whereas 6.5% investors are neutral at

    hedge the risk and 7% investors are most referred hedge the risk objective while they are

    trading in derivative market.

    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (.000). In other words, we hypothesize that the most of the investors

    are some how not preferred high risk as their objective of investing in derivative.

    i.e. Ho : x = = 1.44

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred high risk as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 1.44

    Statistical Test: one sample t-test is chosen because the measurement of data is interval

    in nature.

    Significance level: 0.05

    Hedge the risk

    126

    1 313

    43

    14

    63

    0.5 1.5 6.521.5

    7

    020406080

    100120140

    Dont

    trade

    Not at all

    preferred

    Some

    how not

    preferred

    Neutral Some

    how

    preferred

    Most

    preferred

    preferrred

    percentage/f

    requency

    Frequency

    Percent

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    One Sample statics

    One Sample T-Test:

    Test Value =

    2

    t d Sig. (2-

    tailed)

    Mean

    Difference

    95%

    Confidence

    Interval o

    the

    Difference

    Lower Upper

    Hedge the

    risk

    -4.071 199 .000 -.56 -.83 -.29

    Inference:

    Here the test is performed at 95% significance level and the t-value comes out as

    .000 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant differencebetween calculated mean and hypothesized mean. And again investors invest in

    derivatives with objective of hedging risk only.

    Funding:

    FREQUENCY

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 2 1.0Neutral 18 9.0

    Some how preferred 22 11.0

    Most preferred 32 16.0

    Total 200 100.0

    N Mean Std.

    Deviation

    Std. Error

    Mean

    Hedge the

    risk

    200 1.44 1.95 .14

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    Graph:

    Inference: from the above graph we can see that out of the 200 respondent 63% are not

    trading in derivative market, whereas out of the 37% only 1% are not at all preferred the

    funding option, 9% are the neutral, 11%some how preferred the funding option where as

    the 16% are chosen the funding option for the trading in derivative market.

    The mean of the funding is the 1.52; therefore we can say that most of the investors are

    chosen the funding while investing in the derivative market.

    T-test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (0.001). In other words, we hypothesize that the most of the investors

    are some how not preferred funding as their objective of investing in derivative.

    i.e. Ho : x = = 0.001

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors aresome how preferred funding as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 0.001

    Funding

    126

    218 22

    32

    63

    19 11

    16

    0

    20

    40

    60

    80

    100

    120

    140

    Dont trade Not at all

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    percentage/frequency

    Frequency

    Percent

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    One Sample T-Test:

    Statistical Test: one sample t-test is chosen because the measurement of data is interval

    in nature.

    Significance level: 0.05

    One-Sample Statistics

    N Mean Std.

    Deviation

    Std. Error

    Mean

    Funding 200 1.52 2.07 .15

    ONE-SAMPLE TESTTest

    Value = 2

    t d Sig. (2-

    tailed)

    Mean

    Differenc

    e

    95%

    Confidenc

    e Interval

    of the

    Differenc

    e

    Lower Upper

    -3.277 199 .001 -.48 -.77 -.19

    Inference:

    Here the test is performed at 95% significance level and the t-value comes out as

    .001 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivatives with objective of funding only.

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    Short position:

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 5 2.5

    Some how not preferred 5 2.5

    Neutral 24 12.0

    Some how preferred 25 12.5

    Most preferred 15 7.5

    Total 200 100.0

    Graph:

    Inference: as we can se from the above graph that out of the 200 respondent 63%

    investors are not trading in the derivative market. while out of the 37% respondent 2.5 %

    of the investor are not at all preferred the short position, same as 2.5% are the some how

    preferred the short position , when only 1.2 % are the neutral , while the 12.5 % are somehow preferred the short position while 7.5% are the most preferred the short position.

    Short position

    126

    5 5

    24 2515

    63

    2.5 2.512 12.5 7.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont trade Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    pe

    rcentage/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.31). In other words, we hypothesize that the most of the investors

    are some how not preferred short position as their objective of investing in derivative.

    i.e. Ho : x = = 1.31

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred short position as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 1.31

    One Sample t-test

    N Mean Std.

    Deviation

    Std. Error

    Mean

    Short

    position

    200 1.31 1.84 .13

    Test Value

    = 2

    t d Sig. (2-

    tailed)

    Mean

    Difference

    95%

    Confidenc

    e Interval

    of the

    Difference

    Lower Upper

    -5.307 199 .000 -.69 -.95 -.43

    Inference: Here the test is performed at 95% significance level and the t-value comes out

    as .000 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant differencebetween calculated mean and hypothesized mean. And again investors invest in

    derivatives with objective of short position only.

    MORE LIQUID :

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    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 5 2.5

    Some how not preferred 5 2.5

    Neutral 24 12.0

    Some how preferred 25 12.5

    Most preferred 15 7.5

    Total 200 100.0

    Graph:

    Inference: as we can se from the above graph that out of the 200 respondent 63%

    investors are not trading in the derivative market. wshile out of the 37% respondent 2.5 %

    of the investor are not at all preferred the more liquid as the objective, same as 2.5% are

    the some how preferred the more liquid , when 12 % are the neutral , while the 12.5 %

    are some how preferred the more liquid while 7.5% are the most preferred the more

    liquid option.

    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.31). In other words, we hypothesize that the most of the investors

    are some how not preferred more liquid as their objective of investing in derivative.

    i.e. Ho : x = = 1.31

    More liquid

    126

    5 524 25

    15

    63

    2.5 2.512 12.5 7.5

    0

    20

    40

    6080

    100

    120

    140

    Dont trade Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    percentage/frequen

    cy

    Frequency

    Percent

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    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred more liquid as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 1.31

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    more liquid 200 .91 1.47 .10

    One-Sample Test

    Test Value = 1

    T DfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of the

    Difference

    Lower Upper

    more

    liquid

    -

    .915199 .361 -9.50E-02 -.30 .11

    Inference:

    Here the test is performed at 95% significance level and the t-value comes out as .000

    which is less than 0.05, it means that the null hypothesis H0 is rejected and alternative

    hypothesis is accepted and it can be said that there is significant difference between

    calculated mean and hypothesized mean. And again investors invest in derivatives with

    objective of more liquid .

    Q .4what are the criteria do you taken in the consideration while investing in

    derivative market?

    Ans: Objective: from this question we can come to know that which criteria are consider

    by the investors while they are investing in derivative market. Which criteria are most

    important for them whether derivatives are ease in transaction, less costly, or available of

    different contract or for the margin money.

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    Ease in transaction

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 2 1.0

    Some how not preferred 4 2.0

    Neutral 16 8.0

    Some how preferred 23 11.5

    Most preferred 29 14.5

    Total 200 100.0

    Graph:

    Inference: from the above graph we can conclude that out of the 200 investors 63% are

    already not trading in derivative market whereas out of the 37% investors 1% respondentare not not at all preferred the ease in transaction ,2% are the some how not preferred the

    ease in transaction , when the 8% are the neutral when the 11.5 % are some how preferred

    the ease in transaction when 14.5% are the most preferred the option of ease in

    transaction while investing in the derivative market.

    Ease in transaction

    126

    2 416 23

    29

    63

    1 2 811.5 14.5

    0

    20

    4060

    80

    100

    120

    140

    Dont

    trade

    Not at all

    preferred

    Some

    how not

    preferred

    Neutral Some

    how

    preferred

    Most

    preferred

    preferred

    percentag

    e/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.48). In other words, we hypothesize that the most of the investors

    are some how not preferred more liquid as their objective of investing in derivative.

    i.e. Ho : x = = 1.48

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred more liquid as their objective of investing in derivative.

    i.e. H1: x , i.e. H1: x 1.31

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    ease in transaction 200 1.48 2.03 .14

    One-Sample Test

    Test Value = 2

    T DfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of

    the Difference

    Lower Upper

    ease in

    transaction

    -

    3.658199 .000 -.52 -.81 -.24

    Inference: Here the test is performed at 95% significance level and the t-value comes outas .000 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivatives with criteria of the ease in transaction.

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    LESS COSTLY

    Frequency

    Preferred Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 11 5.5

    Some how not preferred 11 5.5

    Neutral 17 8.5

    Some how preferred 23 11.5

    Most preferred 12 6.0

    Total 200 100.0

    Graph:

    Inference: from the above graph we can see that 5.5% investors are not at all preferred

    the less costly criteria while they are investing in derivative market, another 5.5 %investors some how not preferred ,8.5%are neutral,11.5% investors are some how

    preferred while only 6% investors are most preferred the less costly criteria while they

    are trading in the derivative market.

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    Less costly

    126

    11 11 1723

    12

    63

    5.5 5.5 8.5 11.5 6

    0

    20

    4060

    80

    100

    120

    140

    Dont

    trade

    Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    percentage/frequency

    Frequency

    Percent

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    hypothesized mean (1.18). In other words, we hypothesize that the most of the investors

    are some how not preferred less costly as their objective of investing in derivative.

    i.e. Ho : x = = 1.18

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    some how preferred less costly as their criteria of trading in derivative.i.e. H1: x , i.e. H1: x 1.18.

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    less costly 200 1.18 1.73 .12

    One-Sample Test

    Test Value = 1

    T DfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of the

    Difference

    Lower Upper

    lesscostly

    1.469 199 .143 .18 -6.16E-02 .42

    Inference: Here the test is performed at 95% significance level and the t-value comes out

    as .143 which is less than 0.05, it means that the null hypothesis H0 is accepted and

    alternative hypothesis is rejected and it can be said that there is no significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they some how not preferred the criteria of less costly.

    Available different contract:

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    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 3 1.5

    Some how not preferred 5 2.5

    Neutral 22 11.0

    Some how preferred 33 16.5

    Most preferred 11 5.5

    Total 200 100.0

    Graph:

    Inference: from the above graph we can say that at the criteria of the available different

    contract 1.5 % investors are not at all preferred ,2.5% are some how not preferred ,11%

    investors are the neutral,16.5% are the some how preferred whereas only 5.5% investors

    are most preferred the available different contract.

    avl of different contract

    126

    3 522

    33

    11

    63

    1.5 2.511 16.5 5.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont trade Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferrred

    percentage/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.33). In other words, we hypothesize that the most of the investors

    are not at all preferred available different contract as their criteria of investing in

    derivative.i.e. Ho : x = = 1.33

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred as their criteria of available different contract while trading in derivative.

    i.e. H1: x , i.e. H1: x 1.33.

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    availability of different contract 200 1.33 1.84 .13

    One-Sample Test

    Test Value = 1

    t dfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval

    of the Difference

    Lower Upper

    availability of

    different contract2.543 199 .012 .33 7.41E-02 .59

    Inference: Here the test is performed at 95% significance level and the t-value comes

    out as .012 which is grater than 0.05, it means that the null hypothesis H0 is accepted and

    alternative hypothesis is rejected and it can be said that there is no significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they some how not preferred the criteria of available of different

    contract.

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    Margin money:

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 26 13.0Some how not preferred 14 7.0

    Neutral 7 3.5

    Some how preferred 16 8.0

    Most preferred 11 5.5

    Total 200 100.0

    Graph:

    Inference: From the above graph you can see that 13% investors are not at all preferred

    the margin money as their trading criteria ,7% investors are some how not preferred

    ,3.5% investors are neutral ,8 % investors are some how preferred whereas only 5.5%

    investors are most preferred the margin money as their criteria while they are trading in

    derivative market.

    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (.97). In other words, we hypothesize that the most of the investors

    are not at all preferred as their criteria of margin money while trading in derivative.

    i.e. Ho : x = = .97

    Margin money

    126

    2614

    716 11

    63

    13 7 3.5 8 5.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont trade Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    percentage/frequency

    Frequency

    Percent

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    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the margin money as their criteria of trading in derivative.

    One-Sample Test

    Test Value = 1

    t dfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of

    the Difference

    Lower Upper

    margin

    money

    -

    .271199 .787 -3.00E-02 -.25 .19

    Inference: Here the test is performed at 95% significance level and the t-value comes

    out as .787 which is grater than 0.05, it means that the null hypothesis H0 is accepted and

    alternative hypothesis is rejected and it can be said that there is no significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they not at all preferred the criteria of the margin money.

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    margin money 200 .97 1.57 .11

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    Q-5 Give your preference of trading in derivative instrument.

    Ans: Objective: To know the preference of the investors while they are trading in

    derivative market.

    INDEX FUTURE:Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 1 .5

    Some how not preferred 1 .5

    Neutral 15 7.5

    Some how preferred 14 7.0

    Most preferred 43 21.5

    Total 200 100.0

    Graph:

    Inference: From the above graph we can see that only 0.5% investors are not at all

    preferred the index future, 0.5 % investors are some how not preferred ,7.5% investors

    are some how preferred 21.5% are most preferred as the preference of their trading in

    derivative market.

    Index future

    126

    1 115 14

    4363

    0.5 0.5 7.5 721.5

    0

    20406080

    100120140

    Dont trade Not at all

    preferred

    Some how

    not

    preferred

    Neutral Some how

    preferred

    Most

    preferred

    preferred

    pe

    rcent/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.60). In other words, we hypothesize that the most of the investors

    are not at all preferred as their criteria of margin money while trading in derivative.

    i.e. Ho : x = = 1.60

    Alternative Hypothesis (H1): There is significant difference between calculated meanand hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the margin money as their criteria of trading in derivative.

    i.e. H1: x , i.e. H1: x 1.60

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    index future 200 1.60 2.16 .15

    One-Sample Test

    Test Value = 1

    t dfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of the

    Difference

    Lower Upper

    index

    future3.892 199 .000 .60 .29 .90

    Inference: Here the test is performed at 95% significance level and the t-value comes outas .000 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they some how not preferred the preference of the index future.

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    STOCK FUTURE

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 1 .5

    Some how not preferred 1 .5

    Neutral 16 8.0

    Some how preferred 43 21.5

    Most preferred 13 6.5

    Total 200 100.0

    Graph:

    Inference: From the above graph you can see that only 0.5% investors are not at all

    preferred,0.5% investors are some how not preferred, 8% investors are neutral

    21.5%investors are some how preferred and 6.5% investors are most preferred the stockfuture .

    Stock future

    126

    1 116

    43

    13

    63

    0.5 0.5 821.5

    6.5

    020406080

    100120140

    Dont

    tradeNot at allpreferred

    Somehow not

    preferred

    Neutral Somehow

    preferred

    Mostpreferred

    preferrred

    p

    ercentage/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.44). In other words, we hypothesize that the most of the investors

    are not at all preferred as their preference of stock future.

    i.e. Ho : x = = 1.44Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the stock future as their criteria of trading in derivative.

    i.e. H1: x , i.e. H1: x 1.44

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    Stock future 200 1.44 1.9378 .1370

    One-Sample Test

    Test Value = 2

    t dfSig. (2-

    tailed)

    Mean

    Difference

    95% Confidence Interval of

    the Difference

    Lower Upper

    Stock

    futures

    -

    4.087199 .000 -.5600 -.8302 -.2898

    Inference: Here the test is performed at 95% significance level and the t-value comes out

    as .000 which is less than 0.05, it means that the null hypothesis H0 is rejected andalternative hypothesis is accepted and it can be said that there is significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they some how preferred the preference of the stock future

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    INDEX OPTION

    Frequency

    Frequency PercentDont trade 126 63

    Not at all preferred 2 1.0

    Some how not preferred 4 2.0

    Neutral 26 13.0

    Some how preferred 13 6.5

    Most preferred 29 14.5

    Total 200 100

    Total 200 100.0

    Graph:

    Inference: From the above graph you can see that only 1% investors are not at all

    preferred the index option,2% investors are some how not preferred,13% investors are

    neutral,6.5% investors are some how preferred whereas 14.5% investors are most

    preferred the index option.

    Index option

    126

    2 4

    2613

    29

    63

    1 213 6.5

    14.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont

    trade

    Not at all

    preferred

    Some

    how not

    preferred

    Neutral Some

    how

    preferred

    Most

    preferred

    preferred

    pe

    rcentage/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.43). In other words, we hypothesize that the most of the investors

    are not at all preferred index option as their preference while they are trading in

    derivative market.

    i.e. Ho : x = = 1.43

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the index option as their preference of trading in derivative.

    i.e. H1: x , i.e. H1: x 1.43

    One sample T-Test:

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    index option 199 1.43 1.98 .14

    One-Sample Test

    Test Value = 2

    t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of theDifference

    index

    option-4.044 198 .000

    -

    .57-.84 -.29

    Inference: Here the test is performed at 95% significance level and the t-value comes out

    as .000 which is less than 0.05, it means that the null hypothesis H0 is rejected and

    alternative hypothesis is accepted and it can be said that there is significant difference

    between calculated mean and hypothesized mean. And again investors invest in

    derivative market they some how preferred the preference of the index option.

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    STOCK OPTION

    Frequency

    Frequency Percent

    Dont trade 126 63.0Not at all preferred 9 4.5

    Some how not preferred 12 6.0

    Neutral 11 5.5

    Some how preferred 25 12.5

    Most preferred 17 8.5

    Total 200 100.0

    Graph:

    Inference: From the above graph we can see that 63% investors are not trading in

    derivative market whereas out of 37% ,4.5% investors are not at all preferred the stock

    option,6% investors are some how not preferred when 5.5% are neutral ,12.5% investors

    are some how preferred and 8.5 % investors are most preferred the stock option.

    Stock option

    126

    9 12 1125 17

    63

    4.5 6 5.5 12.5 8.5

    0

    20

    40

    60

    80

    100

    120

    140

    Dont

    trade

    Notatall

    preferred

    Some

    h

    ow

    not

    preferred

    Neutral

    Some

    how

    preferred

    Most

    preferred

    preferred

    percentage/frequency

    Frequency

    Percent

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    T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.25)other words, we hypothesize that the most of the investors are

    not at all preferred stock option as their preference to trade in derivative market.

    i.e. Ho : x = = 1.25

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the stock option as their option to trade in derivative market.

    i.e. H1: x , i.e. H1: x 1.25

    One-Sample Statistics

    N Mean Std. Deviation Std. Error Mean

    stock option 200 1.25 1.83 .13

    One-Sample Test

    Test Value = 1

    t df Sig. (2-tailed)

    MeanDifference

    95% Confidence Interval of the

    Difference

    Lower Upper

    stock

    option1.971 199 .050 .25 -8.87E-05 .51

    Inference: Here the test is performed at 95% significance level and the t-value comes out

    as .050 which is grater than 0.05, it means that the null hypothesis H0 is accepted and

    alternative hypothesis is rejected and it can be said that there is no significant differencebetween calculated mean and hypothesized mean. And investors invest in derivative

    market they some how not preferred the preference of the stock option.

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    Q-6 Give your preference in term of trading in derivative market?

    Objective: To know the preference of the investors in term of trading in derivative

    market.

    Intraday:

    Frequency

    Frequency Percent

    Dont trade 126 63.0

    Not at all preferred 4 2.0

    Some how not preferred 1 .5

    Neutral 5 2.5

    Some how preferred 10 5.0

    Most preferred 54 27.0

    Total 200 100.0

    Graph:

    Inference: From the above graph we can see that 63% investors are not trading in

    derivative market.63% investors are not trading in derivative market.2% investors are notat all preferred the intraday ,5 % investors are some how not preferred ,2.5% investors are

    neutral,5% investors are some how preferred whereas 27% investors are most preferred

    the intraday trading.

    Intraday

    0

    126

    4 1 5 10

    54

    0

    63

    2 0.5 2.5 5

    27

    020

    406080

    100120140

    Dont

    trade

    Notatall

    preferred

    Some

    how

    not

    preferred

    Neutral

    Some

    how

    preferred

    Most

    preferred

    preferred

    Freque

    ncy/percentage

    frequency

    percentage

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    One sample T-Test:

    Null Hypothesis (HO): There is no significant difference between calculated mean and

    hypothesized mean (1.66) in other words that the most of the investors are not at all

    preferred some not preferred the intraday to trade in derivative market.

    i.e. Ho : x = = 1.66

    Alternative Hypothesis (H1): There is significant difference between calculated mean

    and hypothesized mean. In other words we hypothesize that the most of the investors are

    most preferred the intraday as their preference to trade in derivative market.

    i.e. H1: x , i.e. H1: x 1.66

    One-Sample Statistics

    N M