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    Commodity Futures as an Investment Avenue

    Dissertation submitted in partial fulfillment of the

    requirements of the

    Two year full-time Post Graduate Diploma in

    Management Program

    Submitted by

    Priyam Tripathi

    FT-FS-10-836

    Institute for Integrated Learning in Management

    Graduate School of Management

    16, Knowledge Park-II

    Greater Noida 201 306

    March,2012

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    FINAL DISSERTATION DECLARATION FORM

    I hereby declare that the Project work entitled Commodity Futures as an

    Investment Submitted by me for the partial fulfillment of the Post GraduateDiploma in Management Program to Institute for Integrated Learning in

    Management, Greater Noida is my own original work and has not been

    submitted earlier either to IILM GSM or to any other Institution for the fulfillment

    of the requirement for any course of study. I also declare that no chapter of this

    manuscript in whole or in part is lifted and incorporated in this report from any

    earlier / other work done by me or others.

    Name : Priyam Tripathi

    Place : Delhi

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    Date : 26th March 2012 Signature of Student

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    ACKNOWLEDGEMENT

    I would like to convey my heartiest gratitude to several people, for their support and

    guidance, which helped me to complete this project. I wish to take this opportunity to

    thankProf. S.P KETKAR(Faculty) for permitting me to carry on this project. Last but

    not the least, my endless appreciation goes to my family and faculties who has stood by

    my side and given me moral support whenever I was low and boosted my will power.

    Thank you!

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    Table Of Contents

    Declaration Form Pg. 2

    Title Pg. 3

    Acknowledgement Pg. 4

    Introduction Pg. 6

    Literature Review Pg. 11

    Objective of the study Pg. 12

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    Research Design Pg. 13

    Methodology Pg. 16

    Sampling Pg. 17

    Instruments Pg. 18

    Factor Analysis Pg. 19

    Cross Tabulation Pg. 20

    Industry Profile Pg. 21

    Rules governing Commodity derivatives Pg. 25

    Analysis & Interpretation Pg. 26

    Findings, Suggestions & Conclusion Pg. 45

    Bibliography Pg. 51

    Annexure Questionnaire Pg. 52

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    Introduction

    Commodities have always been a part of our day to day life as one of the finest

    investment avenues available. But we have been unaware of them. The wheat in our

    bread, the Cotton in our clothes, our jewels, the oil that runs our Vechile, etc,are all

    traded across the world in major exchanges.

    India has a long history of trade in commodity derivatives; this sector remained

    underdeveloped due to the control over and intervention in commodities prices by the

    government for many years. The production, supply and distribution of many

    agricultural commodities are still governed by the state and forwards and futures trading

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    are selectively introduced with stringent controls. Free trade in many commodity items is

    restricted under the Essential Commodities Act, 1955 and the Agriculture Productive

    Marketing Committees Acts of the various state governments.

    The Mumbai Cotton Trade Association set up the first commodity exchange in India and

    formally organized futures trading in cotton in 1875. Subsequently, many exchanges

    came up in different parts of the country for futures trading in various commodities. The

    Gujarati Vyapari Mandali came into existence in 1900, which undertook futures trading

    in oilseeds for the first time in the country. The Calcutta Hessian exchange ltd and the

    East India Jute Association Ltd were set up in 1919 and 1927 respectively for futures

    trade in raw jute. A future trading in cotton was organized in Mumbai under the auspices

    of East India cotton Association in 1921. Simultaneously, several exchanges were set upin major agricultural centers in North India before the World War broke out and they

    were mostly engaged in wheat futures until it was prohibited in 1921.

    The existing exchanges Hapur, Muzaffarnagar, Meerut, and Bhatinda etc were

    established during this period. The Government of India banned trading in commodity

    futures in the year 1967 in essential commodities. As the result of this, all the commodity

    futures in the year 1967, in order to have an effective control over the Khusro Committee

    in 1980, the Government, reintroduced futures trading in some selected commodities. As

    the result of this, all the commodity exchanges went out of business and many trades

    started resorting to unofficial and informal trading in futures On the recommendation of

    Khusro committee in 1980, the Government reintroduced futures trading in some

    selected commodities including cotton, jute potatoes etc. As the part of economic

    reforms, the government of India appointed a expert committee on forward markets

    under the chairmanship of K N Kabra in the year 1993.

    The committee submitted its report in 1944 and recommended for the reintroduction of

    futures, with an wider coverage of and scope for more agricultural commodities. In order

    to give a thrust to the agricultural sector, the National Agricultural Policy 2000

    envisaged external and domestic market reforms and the dismantling of all controls and

    regulations on the agricultural commodity market. It has also proposed enlargement of

    the coverage of futures market to reduce wide fluctuations in commodity prices and for

    hedging the risk arising from price fluctuations.

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    In the budget speech delivered on 28 February 2002, the then Finance Minister

    announced an expansion of futures and forward trading to cover all agricultural

    commodities. This was followed by the removal of the ban on futures trading on 27 (out

    of 81 items) in oilseeds, oils and their cakes in August 2002. Subsequently, in February

    2003, the Government removed the prohibition on the remaining 54 commodities also

    under the Forward trading in general and the agricultural sector in particular, The

    Securities Contracts (Regulation) Act, 1956, was also amended in August 2003 to

    provide for commodity derivatives Exchange (NCDEX ) and Multi Commodity

    Exchange (MCX), Mumbai.

    National status was given to those exchanges so that they would be automatically

    permitted to conduct futures trading in all commodities subject to the clearance of bylaws and contract specifications by the FMC, While the NMCE, Ahmedabad

    commenced futures trading in November 2002, MCX and NCDEX, Mumbai

    commenced operations in October and December 2003 respectively.

    Over the ages, commodities had been the basis for trade and industry. They have spurred

    commerce, encouraged exploration and altered the histories of nation. Today they are

    played a very important role in the world economy with billion of dollars of these

    commodities traded each day of exchanges across the world, so much so that today the

    commodity market are roughly 4-5 times the size of the equity market, where ever they

    are actively traded.

    Futures trading play a key role in the marketing of many important agricultural

    commodities and their products. And yet this institution is still perhaps the least

    understood and often the most condemned part of the entire marketing system. In our

    own country as well as in those like the U.S.A. and the U.K., where active Futures

    markets exist, a theoretical debate has been going on for quite some time as to their role

    and functions. Much of the discussion has naturally centered on the Effects of futures

    trading on prices. Some affirm that it helps to stabilize prices while others argue that

    because of the existence of speculation which is inherent in it; its price effects are often

    destructive. Little empirical evidence, however, has yet been produced in support of

    either view. The present study is an modest attempt in that direction.

    Trade in commodity futures contracts via the organized exchanges currently seen in the

    United States goes back to the 1860s. The basic concept is much older. There are records

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    of trade in contractual obligations, similar to modern day futures contracts, in China and

    Japan in earlier centuries.

    The current widespread and growing interest in commodity futures emerged during the

    1970s. Extreme price variability in the grains, oilseeds, fibers, and livestock

    commodities brought with it an sense of urgency and a need for mechanisms to manage

    age exposure to price risk. Instability in the economy late in the decade and into the early

    1980s brought double-digit inflation, the prime interest rate that exceeded 20 percent,

    and widespread uncertainty. Farm policy moved away from approaches that pegged

    specific prices for key agricultural commodities and toward a posture that would allow

    U.S. prices to trade in futures contracts for such diverse items as the agricultural

    commodities, treasury bills, lumber, foreign currencies, copper, and heating oil.Options on futures contracts can remove to related and major barrier to the use of

    commodity futures in the forward-pricing of agricultural commodities. The first is the

    producers constant fear that forward prices of future sales have been set too low or that

    forward prices (i.e., costs) of futures purchases have been set too high.

    Producers often equate bad outcomes, in terms of opportunity costs, with bad decisions.

    Even if the forward price established is profitable, there is a tendency for producers to

    view the hedge set early at relatively low prices (or at relatively high costs) to be a bad

    decision. If the futures side of the hedge loses money, the Tendency is to view the hedge

    as a mistake and to talk about losing money with the hedge.

    Second and related barrier to direct use of the futures markets is the need to manage a

    margin account and answer margin calls as the market rallies against a short position in

    the futures. Neither producers nor their lenders have always understood the need for a

    special and additional credit line to answer margin calls. There are countless examples of

    producers being forced to offset short hedges due to the inability or lack of a willing

    creditor to provide the needed margin funds. Often, the market turns lower after the

    upward price move that forced the producer to offset the short hedges. A loss is incurred

    in the futures account and than the producer is without price protection as the market

    turns and trends lower.

    In the budget speech delivered on 28 February 2002, the then Finance minister

    announced an expansion of futures and forward trading to cover all agricultural

    commodities. This was followed by the removal of the ban on futures trading on 27 (out

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    of 81 items) in oilseeds, oils and their cakes in August 2002. Subsequently, in February

    2003, the Government removed the prohibition on the remaining 54 commodities also an

    under the Forward Contract (Regulation) Act, 1952, thus removing the statutory hurdles

    in futures trading in general and the agricultural sector in particular. The Securities

    Contracts (Regulation) Act, 1956 was also amended in August 2003 to provide for

    commodity derivatives.

    Soon thereafter, the Forward Markets Commission granted permission to three national

    multi-commodity exchanges via National Multi-Commodity Exchange of India Ltd.

    (NMCE), Ahmedabad, National Commodity & Derivatives Exchange (NCDEX) and

    Multi-commodity Exchanges (MCX), Mumbai.

    National status was given to those exchanges so that they would be automaticallypermitted to conduct futures trading in all commodities subject to the clearance of

    bylaws and contract specification by the FMC. While the NMCE, Ahmedabad

    commenced futures trading in November 2002, MCX and NCDEX, Mumbai

    commenced operation in October and December 2003 respectively.

    Literature Review

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    Futures trading are a device for protection against the price fluctuations which normally

    arise in the course of marketing of commodities. Stockiest, processors and manufacturers

    utilize the futures contract to transfer the price risk faced by them. This is use of the

    futures market is commonly known as hedging.

    A futures contract is a highly standardize contract, which is invariably entered into for

    the basis variety, but against which other varieties within a stipulated range can also

    delivered with appropriate premier or discounts for the differences in their qualities from

    the basis during a period which, in futures market parlance, called the delivery month.

    Wherever a futures market is organized, two markets operate side by side, viz., the spot

    and the futures.For purposes of hedging, those who have bought stocks and are, therefore, long in the

    ready market sell in the futures market while those who have sold the actual commodity

    and are shorts in the ready market are buyers in the futures market.

    Benefits of literature review

    As the study is being formulated on general public, the elements that affect this segment

    and what are the criteria that this segment follows to safeguard their commodity future.

    Review of Literature help in understanding preferences and the outlook of general public

    towards investment. At the same time the theory also helped in understanding the

    concept of portfolio creation.

    The review of literature was beneficial for the successful completion of the project work

    and to carry out the survey in the right direction. The literature review updates the

    knowledge of the researcher on portfolio creation techniques and the need of the

    individual. It benefited in the learning of the profile of the respondents and their

    preferences.

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    Objectives of the study

    1. To find out the various risk factors in using commodity future.

    2. To study the influences of futures trading, on price and price variation

    3. To evaluate the effectiveness of the various measures of commodity futures as

    investment avenues in India.

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    Introduction

    The commodities that have always been a Part of our day to day existence are also one of

    the finest Investment avenues available. The wheat in our bread, the Cotton in our

    cloths, our g jewels, the oil that runs our cars, etc; are all trades across the world in major

    exchanges.

    Over the ages, commodities have been the basis for trade and industry. They have

    spurred commerce, encouraged exploration and altered the histories of nation. Today

    they play a very important role in the world economy with billion of dollars of these

    commodities traded each day of exchanges across the world, so much so that today the

    commodity market are roughly 4-5 times the size of the equity market, where ever they

    are actively traded.

    Statement of the problems

    Primary commodity prices and their markets are known to behave differently from those

    of the manufactured goods or services. Theoretical analysis suggests that commodity

    prices will fall relative to others because of the inelastic demand.

    Thus, the real income of the commodity producers falls because inelastic demand

    prevents them from offsetting price movements with volume changes. The reason for

    extra volatility in commodity prices in the presence of natural shocks that are not

    predictable and majorly relate to the previous years production or consumption in price,

    followed by a slow or rapid reduction depending on the nature of the commodity.

    Commodity price cycles mainly have flat bottoms with occasional sharp peaks.

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    The following are four important commodity price problems:

    a) Short-term fluctuations: These are some common among the agriculture

    products, either within a year due to seasonal variations or from year to year

    because of abnormal weather variations and conditions.

    b) Medium-term changes: As seen often in oil or other mineral markets, respondingto multi-year business cycles in the world economy.

    c) Permanent changes: These are affecting the one or a few countries owing to

    technological changes or the discovery of a new technology which alters

    competitiveness.

    d) Long-term declining commodity prices: Normally, the behavior of commodity

    prices short-term in nature and show a sudden rise or fall and this asymmetric

    behavior tends to impose costs on any scheme meant for balancing price

    fluctuations. All this exposes producers to the dual problem of lower returns and

    higher risks.

    Need of the study

    There have been a number of studies made in the field of investment and creation of

    portfolios. All the studies made are in reference with income levels in general. Income

    levels even though same but the field of work and the life style of a particular segment

    differ from others, which in turn affects the saving and investment priorities.

    Scope of the study

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    This study focuses on futures alone among derivative. Among futures, only commodity

    future has been assessed. The main focus on potential investors and those who invest

    regularly commodity futures there return, risk and expectation towards commodity

    futures of this study is to asses to examine the various risk factors in using commodityfutures by inflation and price fluctuation, and to evaluate the future trading on price and

    price variation

    Hypothesis statement:

    Testing: For hypothesis testing Chi square test is used. The total no of respondents who

    are involved in the survey are 60 out of which 45 respondents are regular investors in

    commodity futures remaining 15 were potential investors

    Hypothesis to be tested:

    Ho-Commodity futures are not excellent vehicle for investment

    Hi-Commodity future are excellent vehicle for investment

    Methodology

    According to Clifford woody research comprises of defining, redefining problem,

    formulating hypothesis or suggested solution, collecting, organizing and evaluating data,

    making deductions and conclusions to determine whether they fit the formulating

    hypothesis.

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    It is a way to systematic solution of the research problem. The researcher needs to

    understand the assumption underlying various techniques and procedures that will be

    applicable to certain problem. This means that it is necessary for the researcher to design

    its methodology.

    There are various factors such as the personal factors as well as the market factors that

    motivate a person to save and invest. Thus, the questionnaire will be directed towards the

    respondents to give the feed back about their savings interest and the various investment

    opportunities they are aware about and it also give us respondents to rethink about their

    investment criteria and upgrade it to their maximize returns.

    Sampling

    All items under study in any field of survey are known as a universe or population. A

    complete enumeration of all items in the population is census enquiry, which is not

    practically possible. Thus sample design is done which basically refers to the definition

    plan defined by data collection for obtaining a sample from a given population.

    Sampling Technique

    This study is purposive in nature as the research is focusing on the various matters that

    are related to general investment avenue .Research is not trying to reach a conclusion by

    making any assumption and findings are based on the results of the respondents that

    enrich our database with a focus on the creation of certain portfolios in general

    investment avenue

    Convenient Sampling approach is adopted here. This is due to the fact that the

    respondents were available only at the colleges and only at the duty time, to get the clear

    idea of their approach the nearest colleges were selected and the study was made.

    Sampling unit

    The sample size consists of professionals. Thus the population selected was of

    Professionals consisting of both males and females of different age groups, holding

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    different qualifications.

    Sampling size

    The sample size consists of 60 respondents of various financial institutions. The sample

    size is drawn using convenience sampling method.

    Sample design

    Sample design refers to a definite plan followed for the collection of sample from a

    given population. The process followed was, firstly a questionnaire was prepared with

    the objective in mind. The respondent from various financial institutions were

    determined. The second step includes convenience sampling whereby the selected

    population was considered and the questionnaire was administered.

    Instruments

    An open-ended questionnaire has been administered, backed by a personal interview to

    draw detailed explanations on the investment pattern. The instrument used to collect the

    data from primary source is structured questionnaires which consist of number of

    questions printed in a systematic form. Information was collected from regular investors

    and potential investors.

    Tools for data collection

    In dealing with real life problems it is often found that the data at hand are inadequate,

    and hence, it becomes necessary to collect sufficient data that are appropriate. The data

    can be of two types- Primary data as well as Secondary data.

    In this study the Primary data is collected by means of personnel interview with the help

    of questionnaires which is designed in such a manner that the faculties of all streams can

    use it easily.

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    The secondary data are those data which already exist. This data is also an important

    input for the study, and in this case the secondary data is collected from various records,

    magazines, text books, internet, discussion with various in house faculties etc.

    Plan of the analysis

    The data collected through questionnaire and the secondary data available was

    researched in detail; it was further classified and tabulated for the purpose of analysis to

    generalize percentages.

    Based upon the information and objectives of the study, conclusions were drawn,

    suggestions and recommendations are made which can be used in providing appropriate

    training and development programs. Graphs and Charts have been used wherever

    necessary.

    The tabulated data is being graphically represented for the better analysis.

    Software use for data analysis

    MS Excel & SPSS

    Factor analysis

    Factor analysis is a general term for several specific computational techniques. All have

    the objective of reducing to a manageable number many variables that belong together

    and have overlapping measurement characteristics.

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    The predictor- criterion relationship that was found in the dependence situation is

    replaced by a matrix of inter correlations among several variables, none of which is

    viewed as being dependent on another. For example, one may have data on 100

    employees with scores on six attitude scale items.

    Method

    Factor analysis begins with the construction of a new set of variables based on the

    relationships in the correlation matrix. While this can be done in a number of ways, the

    most frequently used approach is principal components analysis. This method transforms

    a set of variables into a new set of composite variables or principal components that are

    not correlated with each other.

    These linear combinations of variables, called factors, account for the variance in the

    data as a whole. The best combination makes up the first principal component and is the

    first factor. The second principal component is defined as the best linear combination of

    variables

    For explaining the variables not accounted for by the first factor. In turn, there may be a

    third, fourth, and component, each being the best linear combination of variables not

    accounted for by the previous factors.

    Cross tabulation

    Cross tabulation is a technique for comparing two classification variables, such as

    gender and selection by ones company for an overseas assignment. The technique uses

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    tables having rows and columns that correspond to the levels or values of each variables

    categories.

    An example of a computer-generated cross-tabulation. This table has two rows for

    gender and two columns for assignment selection. The combination of the variables with

    their values produces four cells. Each cell contains a count of the cases of the joint

    classification and also the row, column, and total percentages. The number of row cells

    and column cells is often used to designate the size of the table, as in this 2*2 table.

    The cells are individually identified by their row and column numbers, as illustrated.

    Row and column totals, called marginal, appear at the bottom and right margins of thetable. They show the counts and percentages of the separate rows and columns.

    When tables are constructed for statistical testing, we call them contingency tables, and

    the test determines if the classification variables are independent. Of course, tables may

    be larger than 2*2.

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    For a market to succeed, it must have all three kinds of participants-hedgers, speculators

    and arbitragers. The confluence of these participants ensures liquidity and efficient price

    discovery on the market. Commodity markets give opportunity for all three kinds of

    participants. In this chapter we look at the use of commodity derivatives for hedging,

    speculation and arbitrage.

    HEDGING

    Many participants in the commodity futures market are hedgers. They usually use the

    futures market to reduce a particular risk that they face. This risk might relate to the price

    of wheat or oil or any other commodity that the person deals in. The classic hedging

    example is that of wheat farmer who wants to hedge the risk of fluctuations in the priceof wheat around the time that his crop is ready for harvesting. By selling his crop

    forward, he obtains a hedge by locking in to a predetermined price.

    Hedging does not necessarily improve the financial outcome; indeed, it could make the

    outcome worse. What it does however is, that it makes the outcome more certain.

    Hedgers could be government institutions, private corporations like financial institutions,

    trading companies and even other participants in the value chain, for instance farmers,

    extractors, ginners, processors etc., who are influenced by the commodity prices.

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    SHORT HEDGE

    A short hedge is the hedge that requires a short position in futures contracts. As we said,

    a short hedge is appropriate when the hedger already owns the asset, or is likely to own

    the asset and expects to sell it at sometime in the future. For example, a short hedge

    could be used by a cotton farmer who expects the cotton crop to be ready for sale in the

    next two months.

    A short hedge can also be used when the assets are not owned at the moment but is likely

    to be owned the future. For example, an exporter who knows that he or she will receive a

    dollar payment three months later. He makes a gain if the dollar increases in a valuerelative to the rupee and makes a loss if the dollar decreases in value relative to the

    rupee. A short futures position will give him the hedge he desires.

    LONG HEDGE

    Hedges that involve taking a long position in futures contract are known as long hedges.

    A long hedge is appropriate when a company knows it will have to purchase a certain

    asset in the future and wants to lock in a price now.

    SPECULATION

    An entity having an opinion on the price movements of a given commodity can speculate

    using the commodity market. While the basics of speculation apply to any market,

    speculation in commodities is not as simple as speculating on stocks in the financial

    market.

    For a speculator who thinks the shares of a given company will rise, it is easy to buy the

    shares and hold them for whatever duration he wants to. However, commodities are

    bulky products and come with all the costs and procedures of handling these products.

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    The commodities futures markets provide speculators with an easy mechanism to

    speculate on the price of underlying commodities.

    To trade commodity futures on the NCDEX, the customer must open a futures trading

    account with a commodity derivatives broker. Buying futures simply involves putting in

    the margin money. This enables futures traders to take a position in the underlying

    commodity without having to actually hold that commodity. With the purchase of futures

    contract on a commodity, the holder essentially makes a legally binding promise or

    obligation to buy the underlying security at some point in the future.

    Speculation: Bearish commodity, sell futures

    Commodity futures can also be used by a speculator who believes that there is likely to

    be excess supply of a particular commodity in the near future and hence the prices are

    likely to see a fall. How can he trade based on this opinion? In the absence of a deferral

    product, there wasnt much he could do to profit from his opinion. Today all he needs to

    do is sell commodity futures.

    ARBITRAGE

    A central idea in modern economics is the law of one price. This states that in a

    competitive market, if two assets are equivalent from the point of view of risk and return,

    they should sell at the same price. If the price of a same asset is different in two markets,

    there will be operators who will buy in the market where the asset sells cheap and sell inthe market where it is costly.

    This activity termed as arbitrage, involves the simultaneous purchase and sale of the

    same or essentially similar security in two different markets for advantageously different

    prices. The buying cheap and selling expensive continues till prices in the two markets

    reach equilibrium. Hence, arbitrage helps to equalize prices and restore market

    efficiency.

    Indian commodity exchange and progress

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    The Bombay Cotton Trade Association set up the first commodity exchange in India and

    formally organized futures trading in cotton in 1875. Subsequently, many exchanges

    came up in different parts of the country for futures trading in various commodities. The

    Gujarati Vyapari Mandali came into existence in 1900, which undertook futures trading

    in oilseeds for the first time in the country.

    The Calcutta Hessian exchange ltd and the East India Jute Association Ltd were set up in

    1919 and 1927 respectively for futures trade in raw jute. Futures trading in cotton were

    organized in Mumbai under the auspices of East India cotton Association in 1921.

    Simultaneously, several exchanges were set up in major agricultural centers in North

    India before the World War broke out and they were mostly engaged in wheat futures

    until it was prohibited in 1921.The existing exchanges Hapur, Muzaffarnagar, Meerut, Bhatinda etc were established

    during this period. The Government of India banned trading in commodity futures in the

    year 1966 in essential commodities. As a result of this, all the commodity futures in the

    year 1966, in order to have an effective control over the Khusro Committee in 1980, the

    Government, reintroduced futures trading in some selected commodities. As the result of

    this, all the commodity exchanges went out of business and many trades started resorting

    to unofficial and informal trading in futures.

    Rules governing commodity derivatives exchanges

    The trading of commodity derivatives on the NCDEX is regulated by Forward Markets

    Commission (FMC). Under the Forward Contracts (Regulation) Act, 1952, forward

    trading in commodities notified under section 15 of the Act can be conducted only on the

    exchanges, which are granted recognition by the central government.

    All the exchanges, which deal with forward contracts, are required to obtain certificate of

    registration from the FMC. Besides, they are subjected to various laws of the land like

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    the companies Act, Stamp Act, Contracts Act, Forward commission Act and various

    other legislations, which impinge on their working.

    Forward Markets Commission provides regulatory oversight in order to ensure financial

    integrity, market integrity and to protect and promote interest of customers/ non-

    members. It prescribes the following regulatory measures:

    1. Limit on net open position as on the close of the trading hours. Some times limit

    is also imposed on intra- day net open position. The limit is imposed operator-

    wise, and in some cases, also member-wise.

    2. Circuit-filters or limit on price fluctuations to allow cooling of market in theevent of abrupt upswing or downswing in prices.

    3. Special margin deposit to be collected on outstanding purchases or sales when

    price moves up or down sharply above or below the previous day closing price.

    By making further purchases/sales relatively costly, the price rise or fall is

    sobered down. This measure is imposed only on the request of the exchange.

    4. Circuit breakers or minimum/maximum prices these are prescribed to prevent

    futures prices from falling below as rising above not warranted by prospective

    supply and demand factors.

    5. Skipping trading in certain derivatives of the contract, closing the market for a

    specified period and even closing out the contract.

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    DATA ANALYSIS AND EVALUATION OF PEDIATRECIANS

    1. Cross tabulation between income group and age group.

    Case Processing Summary

    Cases

    Valid Missing Total

    N Percent N Percent N Percent

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    income * age 60 92.3% 5 7.7% 65 100.0%

    Table No 1

    Income * age Cross tabulation

    age Total

    .25 25 to 40 40 to 50 50 above

    Income

    >200000 Count8 7 0 0 15

    % within income 53.3% 46.7% .0% .0% 100.0%

    % within age 100.0% 43.8% .0% .0% 25.0%

    200000 to300000

    Count0 9 3 0 12

    % within income .0% 75.0% 25.0% .0% 100.0%

    % within age.0% 56.3% 25.0% .0% 20.0%300000 to

    375000Count

    0 0 9 6 15

    % within income .0% .0% 60.0% 40.0% 100.0%

    % within age .0% .0% 75.0% 25.0% 25.0%

    375000 & ab Count 0 0 0 18 18

    % within income .0% .0% .0% 100.0% 100.0%

    % within age .0% .0% .0% 75.0% 30.0%

    Total Count 8 16 12 24 60

    % within income 13.3% 26.7% 20.0% 40.0% 100.0%

    % within age 100.0% 100.0% 100.0% 100.0% 100.0%

    Source: Primary Data

    INFERENCE:

    According to the survey most of the investors are falling under there

    income more than375000 and age group 50 & above are regular investors among

    other age and income group because it could be they are more aware about trading

    system and their annual income also high.

    Figure No .1

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    2. Cross tabulation between income and occupation.

    375000 & ab300000 to 375000200000 to 300000>200000

    income

    20

    15

    10

    5

    0

    Count

    50 above40 to 5025 to 40.25age

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    Case Processing Summary

    Cases

    Valid Missing Total

    N Percent N Percent N Percent

    income *occupation

    60 92.3% 5 7.7% 65 100.0%

    Table No .2

    Income * occupation Cross tabulation

    occupation Total

    Pvt.Emp govt emp businessman professional

    income >200000 Count 0 0 15 0 15

    % within income .0% .0% 100.0% .0% 100.0%

    % withinoccupation

    .0% .0% 75.0% .0% 25.0%

    200000 to300000

    Count0 0 5 7 12

    % within income .0% .0% 41.7% 58.3% 100.0%

    % withinoccupation .0% .0% 25.0% 70.0% 20.0%

    300000 to375000

    Count

    12 0 0 3 15

    % within income80.0% .0% .0% 20.0% 100.0%

    % withinoccupation 57.1% .0% .0% 30.0% 25.0%

    375000 &above

    Count9 9 0 0 18

    % within income

    50.0% 50.0% .0% .0% 100.0%

    % withinoccupation

    42.9% 100.0% .0% .0% 30.0%

    Total Count21 9 20 10 60

    % within income35.0% 15.0% 33.3% 16.7% 100.0%

    % withinoccupation 100.0% 100.0% 100.0% 100.0% 100.0%

    Source: Primary Data

    INFERENCE:

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    According to the survey income and occupation among that income

    falling above 375000 per alum and occupation pvt .employees are regularly

    investors because there income may be high when compare to other income

    group.

    Figure No 2

    375000 & ab300000 to 375000200000 to 300000>200000

    Income

    14

    12

    10

    8

    6

    4

    2

    0

    Count

    proffessionalBusinessmangovt emppvt empOccupation

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    3. Do you trade in commodity futures?

    Statistics

    trader1

    N Valid 60

    Missing 5

    Minimum 1.00

    Maximum 2.00

    Table No 3

    Traders in Commodity futures

    Respondent Frequency Percent Valid PercentCumulativePercent

    Valid regular trader 49 75.4 81.7 81.7

    potential customer 11 16.9 18.3 100.0

    Total 60 92.3 100.0

    Missing System 5 7.7

    Total 65 100.0

    Source: Primary Data

    INFERENCE:

    According to the survey commodity traders are high. That is regular

    traders more significant among two variables. So it got 49% out of 60 %.

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    Figure No .3

    potential customerregular trader

    trader1

    100

    80

    60

    40

    20

    0

    Percent

    trader1

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    4. If they trade regularly, why

    Table No .4

    Attributes of satisfaction

    Options No of Respondent Percentage

    Trade on an organizedexchange

    12

    24.48%

    Standardized contract terms 17 34.69%

    follows of daily settlement

    12 24.48%

    location of settlement 8 13.33%

    Total 49 100%

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    Source: Primary Data

    INFERENCE:

    According to above definition it is clear that regular investors in

    commodity futures are satisfied about its facilities and futures contract. Among all

    these attributes

    Standardized contract signifies more 34.69% when compare to other variable.

    Figure No 4

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    regular investors in commodity futures

    Regular trader

    Trade on an organised

    axchange

    Standardized contract terms

    follows of daily settlement

    location of settlement

    5. Do you think futures trading influence the price and price variation?

    Influences

    N Valid 60

    Missing 5

    Std. Deviation .49717

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    Table No 4.1

    Future trading influences price and price variation

    Sources Primary Data

    INFERENCE:

    According to the survey most of the investors believe that price and

    price variation dose not influence the price variation.

    Survey indicated that the major influencing factor that is 35% says that

    price dose not influence the commodity futures.

    Frequency Percent Valid PercentCumulative

    Percent

    Valid influences theprice variation 25 38.5 41.7 41.7

    not influence theprice variation 35 53.8 58.3 100.0

    Total 60 92.3 100.0

    Missing System 5 7.7

    Total 65 100.0

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    Figure No 5

    Missing

    not influence theprice veriation

    influences the priceveriation

    influences

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    6. If price and price variation influences the fluctuation, how

    Summery

    N Valid 25

    Missing 40

    Minimum 1.00

    Maximum 4.00

    Table No .6

    Attributes of influences in price and price variation

    Frequency Percent Valid PercentCumulative

    Percent

    Valid seasonal price variation 10 15.4 40.0 40.0

    inter and intra seasonalfluctuation in price 5 7.7 20.0 60.0

    short term oscillation inprices 5 7.7 20.0 80.0

    average received byproducers and paid byconsumers

    5 7.7 20.0 100.0

    Total 25 38.5 100.0

    Missing System 40 61.5

    Total 65 100.0

    INFERENCE:

    According to the survey most of the investors believe that price and

    price variation influences the fluctuation of the market.

    Survey indicated that the major influencing factors, seasonal price

    variation that influence in short term volatility in the market so table shows that

    15.4 % among other variables got for seasonal price variation.

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    Figure No 6

    4.002.000.00

    Influence

    10

    8

    6

    4

    2

    0

    Frequ

    ency

    Mean =2.20Std. Dev. =1.19024

    N =25

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    7 .if price and price variation dose not influence commodity futures by various

    commodity trading.

    Table No .7

    Methods of risk avoiding

    Source: Primary Data

    Options No of Respondent Percentage

    By hedging 12 30

    By speculation 15

    40

    By arbitrage8 30

    TOTAL35 100

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    Price and variation

    Table No .8

    Respondent

    Observed

    No

    .

    Expected

    No.(O E) (O- E )2 ( O-E )2\E

    By hedging

    30 30 0 0 0

    By

    speculation40 30 10 100 3.333

    By arbitrage

    30

    30 - 10 100 3.333

    Total

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    90 90 0 6.666

    Source: Primary Data

    2 = [(O-E) 2/E] =6.666d. f. = 3-1= 2 Tabulated value = 5.991

    Since calculated value of2 = 6.666 is greaterthan thetabulated value 5.991, it is significance. Hence we conclude that the future

    trading dose not influence the price and price variation.

    8. Are you satisfied about future trading in commodity exchange?

    Ranks about satisfaction levels

    Table No: 9

    Options No of Respondent Percentage

    R110 16.66

    R215

    25

    R310 16.66

    R410 16.66

    R5 10 16.66

    R6 5 8.33

    TOTAL 60 100

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    Source: Primary Data

    INFERENCE:

    According to the survey most of the investors are satisfied above mentioned

    options i.e. R1, R2, R3, R4, R5, R6.

    Survey indicated that the major influencing factors for commodity futures are

    fair price discovery and transparent trading. So it helps investors to track the

    current fluctuation in price and proper price discovery.

    Figure No .9

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    satisfied future trding

    10

    15

    10

    10

    55

    future trading

    Transparent trading

    Fair price discovery

    automated trading

    system

    unique identification

    number

    to prouide nationwide

    reach

    to bring trust

    Attributes

    R1-Transparent trading

    R2- Fair price discovery

    R3- Automated trading system

    R3- Unique identification number

    R4- To provide nationwide reach and consistent offering

    R5- To bring together the entities that the market can trust

    9. Current regulatory mechanism of commodity futures in India

    Table No: 10

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    Source: Primary Data

    Options No of Respondent Percentage

    R1 10 16.66%

    R2 1830%

    R3 8 13.33%

    R4 12 20%

    R5 12 20%

    Total 60 100%

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    Attributes

    R1- Limit on net open position as on the close of the trading hours.

    R2- Limit on price fluctuation to allow cooling of market in the event of

    abrupt upswing or downswing prices.

    R3- Special margin deposit to be collected on outstanding purchase or

    sales when price fluctuate.

    R4- Minimum\maximum prices-these are prescribed to prevent futures

    prices from falling below as rising above not warranted prospective supply

    or demand.

    R5- Skipping trading in certain derivatives of the contract, closing the

    market for a special period and even closing out the contract.

    Inference:

    According to the survey most of the investors are satisfied current regulatory

    measures that is above mentioned options i.e. R1, R2, R3, R4, and R5.

    Survey indicated that the major influencing factors for commodity futures areMinimum\maximum prices-these are prescribed to prevent futures prices from

    falling below as rising above not warranted prospective supply or demand.

    Skipping trading in certain derivatives of the contract, closing the market for a

    special period and even closing out the contract.

    So it helps investors to track the current regulatory measure in price and proper

    price discovery.

    Figure No.10

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    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    Repondents

    Reguletry

    mechanism

    R2 R4

    attributes

    Reguletery mechanism

    Series1

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    Findings and Inferences

    The following prerequisites are certain to give a big boost to commodity futures

    trading in India:

    A.)A negotiable document, may be in demat form, is to be created for the

    underlying asset of the futures being traded so that the title of the goods can be

    transferred from one individual to another without undertaking the physical

    delivery of stocks.

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    b.) An agency is to be set up to help the seller and buyer by grading the stocks

    being offered by them for sale and certify their quality so that the buyer can be

    sure of buying them.

    C.)There must be a Clearing House that takes care of the commodity that is being

    traded in the derivatives exchanges and ensures that quality is maintained till the

    stock under the traded contact is delivered to the ultimate buyer, at a reasonable

    cost.

    D.)Commodities trading must be settled in determined form so that traders from

    across the country can trade futures being certain of the underlying commodity in

    terms of its quality, grade, quantity and its maintenance during the intervening

    period.

    E.)Banks can come forward to sanction agriculture produce loans to farmers

    against the pledge of warehouse receipts and futures contracts of national

    derivatives exchanges.

    They should also explore the possibility of offering hedge prospects to farmers on

    a pooled basis, with banks as intermediaries between exchanges and farmers and

    thus pave the way for active futures trading in agriculture commodities so that

    farmers can enjoy the benefit of dependable price discovery well in advance to

    their planting and sowing season.

    G.) The market must be efficient with widespread awareness amongst various

    market players. The liquidity would increase further with a well-diversified basket

    of commodities.

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    I.)The union Finance Minister, in his Budget-2005 speech, pleaded for a single

    regulatory regime. It will find very difficult to tackle complexities in the socio

    economic dimensions of the fledging commodity future.

    J.)Healthy competition is always beneficial to catalyze the growth in any market.

    In this case too, the government has to take necessary steps for the

    implementation of online commodity trading on the regional exchanges also.

    K.)The market should be made broader based by allowing banks and FIIs to

    participate in commodity futures. Options should be allowed to be traded as that

    will give one more efficient tool to the participants to apply various hedging

    strategies for averting their price risks.

    CONCLUSION

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    The agriculture industry requires increasing formation, improved availability of

    agriculture inputs, infrastructure facility agricultural business, etc A conductive

    environment also helps in bringing cost effectiveness by influencing the existence

    of commodity exchange will strengthen the market based trading system, which

    could also be used for by the Government. Definitely, commodity exchange will

    create an environment where farmers will have many options of selling their

    commodities like spot market, future market and future market referred OTC

    forward market. Due to future market being executable at national level in

    electronic format, integration of banks and institutional traders in commodities

    market would create several institutional traders in farmers. Thus MCX is likely

    to play a pivotal role in the process enable Second Green Revolution.

    With all its attendant benefits, we are confident that the commodity exchange will

    initiate the Second Green Revolution by making it the development mantra of

    the country in the 21st century. Therefore, the challenge right now for us is to take

    the fruits of the commodity futures make a difference by establishing a

    sustainable model for the development of kissanof the nation.

    Developing countries have large exposure to commodity price risk and can be

    eliminated by speculation hedging and arbitrage and seasonal price fluctuation.

    Exports are often concentrated in a few primary commodities with positively

    correlated price movements. The dependence on a few commodities and uncertain

    commodity prices expose such countries to uncertain revenues and expenditures.

    This has varied consequences such as affect the government revenue, have an

    adverse impact on commodity financing in terms of increased cost of debt or no

    or low debt due to poor credit worthiness etc.

    The beta calculation reflects a measure of historical alignment of the price of a

    stock with that of the market. Hence many regard it as a measurement of past

    relationship that cannot be naively used as an estimate of future risk. Why?

    Two reasons are commonly given;

    To overcome this limitation, some adjustment may be required. A procedure that

    is sometimes recommended is to take a weight average of the historical beta, on

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    the one hand, and 1.0 (the value of market beta) on the other. The weighting

    scheme should take into account the degree of historical estimation error and the

    dispersion of individual firms around the average. If the historical estimation error

    is large, the weight assigned to the historical beta should be small.

    The future is certainly bright for the Indian commodities market. Once the much

    awaited institutional participation enters the market, it will create speculation,

    arbitration and hedging for all kinds of players in the market

    SUGGESTION

    Delay the transfer of commodities in the name of transferee

    Effect take part either directly or indirectly transactions, which are likely

    to have effect of artificially, raising or depressing spot or derivatives

    contract.

    Miss calculation creates a false or misleading appearance of trading,

    resulting in reflection of prices which are not genuine.

    Buy, sell commodities contracts on his own behalf or on behalf of a person

    associated with him pending the execution of the order of his constituent

    Indulge in falsification of his books accounts and records for the purpose

    of manipulation

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    BIBLIOGRAPHY

    Books Referred:

    P. j. Kaufman commodity trading system and methods, john Wiley & sons,

    New York, 1978.The author include a chapter on behavioral techniques.

    He discusses contrarians strategies and demonstrates the use of the Elliott

    wave theory and measurement of moves and correction in future markets.

    Future and options in risk management by Terry j.Watsham.

    Derivative markets in India edited by susan Thomas.

    Websites Visited:

    www.mcx.com

    www.sbi.com

    www.google.com

    www.ncdex.Com

    www.capitaline.com

    56

    http://www.mcx.com/http://www.sbi.com/http://www.google.com/http://www.ncdex.com/http://www.capitaline.com/http://www.mcx.com/http://www.sbi.com/http://www.google.com/http://www.ncdex.com/http://www.capitaline.com/
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    PART- A

    Personal Information

    SEX MALE FEMALE

    AGE GROUP : BELOW 25 YEARS 40 TO 50

    25 TO 40 50AND ABOUE

    QULIFICATION : BELOW PUC DEGREE

    POST GRAOTHERS..

    OCCUPATION PVT .EMPLOYEE BUSINESSMAN

    GOVT.EMPLOYEE

    PROFESSIONAL

    ANNUAL INCOME BELOW 25000

    RS50000TO75000

    RS 25000TO50000 RS

    75000&ABOVE

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    Part B

    1. Do you trade in commodity futures?

    Yes No

    2. If yes, why?

    i. Trade on an organized exchange

    ii. Standardized contract terms

    iii. Follows of daily settlement

    iv. Location of settlement

    3. Do you think futures trading influence the price and price variation?

    Yes No

    4. If yes, why?

    i. Seasonal price variation

    ii. Inter and intra-seasonal fluctuation in price

    iii. Short term oscillation in prices

    iv. Average prices received by producers and paid by consumer

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    5. If no, why?

    a. By hedging

    b. By speculation

    c. By arbitrage

    6. Are you satisfied about future trading in commodity exchange?

    Yes No

    7. If yes, please rank from 1 to 6

    a. Transparent trading

    b. Fair price discovery

    c. Automated trading system

    d. Unique identification number

    e. To provide nationwide reach and consistent offering

    f. To bring together the entities that the market can trust

    8. If no, comment

    i. ----------------------------------------------------------------------

    ii. --------------------------------------------------------------------

    9. How do you rank current regulatory mechanism of commodity futures inIndia

    a) Limit on net open position as on the close of the trading hours.

    b) Limit on price fluctuation to allow cooling of market in the event of

    abrupt upswing or downswing prices.

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    c) Special margin deposit to be collected on outstanding purchase or sales

    when price fluctuate.

    d) Minimum\maximum prices-these are prescribed to prevent futures

    prices from falling below as rising above not warranted prospectivesupply or demand.

    e) Skipping trading in certain derivatives of the contract, closing the

    market for a special period and even closing out the contract.

    THAK YOU FOR YOUR KIND CO-OPRATION.


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