SUMMER TRAINING REPORT ON “A STUDY ON INVESTORS PREFERENCE OF COMMODITY MARKETS” Undertaken at “RELIAGRE COMMODITIES PVT LTD” Submitted in partial fulfillment of the requirements for the award of the degree of MASTER OF BUSINESS ADMINISTRATION to Guru Gobind Singh Indraprastha University, Delhi Under the Guidance of: Submitted by: Prof. Rajesh Bajaj Varun Kumar Bharti MBA-III Semester Enrollment No.:-00317003911 Session 2012 – 13
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SUMMER TRAINING REPORT ON
“A STUDY ON INVESTORS PREFERENCE OF COMMODITY MARKETS”
Undertaken at
“RELIAGRE COMMODITIES PVT LTD”
Submitted in partial fulfillment of the requirements
for the award of the degree of
MASTER OF BUSINESS ADMINISTRATION
to
Guru Gobind Singh Indraprastha University, Delhi
Under the Guidance of: Submitted by:
Prof. Rajesh Bajaj Varun Kumar Bharti
MBA-III Semester
Enrollment No.:-00317003911
Session 2012 – 13
To Whom It May Concern
I Varun Kumar Bharti, Enrolment No.00317003911 from MBA-III Sem of the Tecnia Institute of Advanced Studies,
Delhi hereby declare that the Summer Training Report (MS-201) entitled “A STUDY ON INVESTORS PREFERENCE OF
COMMODITY MARKETS at Religare Commodities Pvt. Ltd” is an original work and the same has not been submitted
to any other Institute for the award of any other degree. A presentation of the Summer Training Report was made on
_______________________ and the suggestions as approved by the faculty were duly incorporated.
Date: Signature of the Student
Certified that the Summer Training Report submitted in partial fulfillment of Master of Business Administration (MBA)
to be awarded by G.G.S.I.P. University, Delhi by VARUN KUMAR BHARTI, Enrolment No. 00317003911 has been
completed under my guidance and is Satisfactory.
Date: Signature of the Guide
Name of the Guide:
Designation:
ACKNOWLEDGEMENT
It gives me immense pleasure and sense of achievement in preparing and presenting this project report as per
requirement for completion of summer internship project.
The completion of summer training report entitled ‘A STUDY ON INVESTORS PREFERENCE OF COMMODITY MARKETS’ give me an opportunity to convey my gratitude’s to all those who have helped me to complete this research work successfully and well within time.
I am sincerely thankful to my guide Prof.Rajesh Bajaj for their ideas and suggestion during my project work
which inspired me to put in best my efforts in the research work. Their encouragement, time and effort are
greatly appreciated.
I would be failing in my duties if I do not express my overwhelming sense of gratitude to Mr. Kapil Gupta (Sr. Manager- Risk Management), Mr. Sujeet Pandey (Sr. Team Leader) and Mr. Aswani Kumar(Research Analyst) and for giving me an opportunity to do my project work at Religare Commodities.
I would like to thank all those employees of Religare Commodities who helped in providing valuable feedback
which helped in data analysis and supported my research.
In the last I would like to thank all individuals known or unknown who have helped me directly or indirectly during the research fellowship period.
VARUN KUMAR BHARTI
OO317003911
EXECUTIVE SUMMARY
I have carried the project titled “A STUDY ON INVESTORS PREFERENCE OF COMMODITY MARKETS” during
my summer internship at Religare Commodities Pvt. Ltd
I have carried my research work investors preference of commodity market like when the market is high or low,
what is the time to invest, who are the best brokers in the market through which we can invest.
I have analyzed that the movement in commodity market is very uncertain; it can go up and down without any
certain prediction. The data has been taken from various websites and thus it helped me in analyzing the
variation in the market.
CONTENTS
S No Topic Page No1 Certificate -2 Summer Training Appraisal3 Acknowledgement -4 Executive Summary -
Chapter I: IntroductionChapter II: Review of Literature -Chapter III: Research MethodologyChapter IV: Data Reduction, Presentation & AnalysisChapter V: Data Interpretation
Religare Commodities Limited (RCL) is a wholly owned subsidiary of RSL. It was set up to spearhead Exchange based Commodity Trading. As a member of MCX, NCDEX, NMCE, ICEX and ACE, in addition to both the Spot Exchanges (NSEL & NCDEX-SPOT), RCL is a trade facilitator providing the platform to trade in commodities.
Both RSL and RCL operate under the brand name of Religare Broking. RSL was conferred the "Best Broking House with a Global Presence" award by Dun & Bradstreet for two consecutive years in 2009 and 2010. RCL won the "Best Commodity Broker of the Year" at Bloomberg Financial Leadership Awards, 2011.
1.4.3 Company’s Vision -
"To be the leading emerging markets financial services group driven by innovation, delivering superior value for all stakeholders globally"
Company’s Mission:-
Religare endeavors to provide the best-in-class products and services to its customers through a distribution
channel that is seamless, motivated and supported.
1.4.4 Products and Services Offered:-
A. Trade in Commodity Futures
Why trade in Commodities?
a) Big market - diverse opportunities: Because the listed commodities include Bullion, Metals, Energy and Agri products, trading in commodities provides a lucrative market opportunity for investors, arbitragers, hedgers, traders, manufacturers, exporters and importers.
b) Huge potential: Commodity Exchanges witness a sizeable daily turnover, unlocking a huge potential for the participants to earn profits.
c) Exploitable fundamentals: Commodity trading operates on the simple principle that “Price is a function of Demand and Supply”. This makes things really easy to understand and exploit.
B. Commodity Corporate Desk
Religare Commodity Corporate Desk educates the producers and consumers about the benefits of hedging and hedging opportunities available. The desk provides guidance to the Corporate / Firms on the entire life cycle of their hedging strategies, including designing, implementing, and monitoring.
Uninformed hedging decisions, combined with sustained volatility in the commodities market, can be disastrous for companies of all sizes. The Religare Commodity Corporate desk helps smarter decision making with a higher risk-adjusted return on capital.
C. Spot Exchange
Trading on Spot Exchange platform is the trading of an actual physical commodity at the current market price. Current delivery price of a commodity traded in the spot market, comply with the price in which goods are sold for cash and delivered immediately through the spot exchange platform. This platform provides customized services relating to storage, procurement and disposal of commodities through online trading system.
Indian Spot Exchanges
a) National Spot Exchange Ltd.( NSEL)b) NCDEX Spot Exchange (NSPOT)
D. Currency Futures
Benefits of Currency Futures
a) High Liquidityb) Extended trading hours - 9 am to 5 pmc) Opportunities to reap benefits owing to a highly dynamic marketd) Small lot size of only US $1000 with low exchange specified margins
Currency Futures is best suited for -
a) SMEs / Individuals involved in Imports/Exportsb) Corporate/ Institutions involved in Imports/Exports and anybody else who has foreign currency
exposure
1.4.5 Size of the Organization -
a) More than 3000 employees are working in Religare commoditiesb) 10000 plus employees across multiple geographies in rest of the subsidiaries of religarE
1.4.6 Organization Structure of Company :-
1.4.7 Market Share and Position.
SHARE HOLDING PATTERN
Share Holding Pattern as on 30-Jun-2012
Promoters 71.77%
Institutional Investors 2.63%
Other Investors 9.77%
General Public 15.83%Promoters
Institutional Investors
Other Investors
General Public
As on : 30-Jun-2012
Face Value 10
No. Of Shares % Holding
PROMOTER HOLDING
Foreign Promoters 4,400,050 2.95
Indian Promoters 102,797,124 68.82
Sub Total 107,197,174 71.77
NON PROMOTER HOLDING
Institutional Investors
Mutual Funds and UTI 0 0.00
Banks Fin. Inst. and Insurance 1,608,756 1.08
FIIs 2,324,659 1.56
Sub Total 3,933,415 2.63
Other Investors
Private Corporate Bodies 2,585,277 1.73
NRIs/OCBs/Foreign Others 10,151,127 6.80
Directors 1,619,255 1.08
Others 231,007 0.15
Sub Total 14,586,666 9.77
General Public 23,651,298 15.83
GRAND TOTAL 149,368,553 100.00
Religare commodities has a strong presence across India
Religare enterprise ltd. Is a Ranbaxy promoter group company
a) 6 regional offices
b) 25 zonal offices
c) Presence through more than 900 locations-pan India
d) Present across more than 320 cities & town
e) Total group employees 10,000 plus
f) Research data centre has ISO/IEC 27001:2005 certification
Chapter II
REVIEW OF LITERATURE
3.1 According to Sahadevan, the Sagging Agricultural Commodity Exchanges - Growth Constraints and
Revival Policy Options: “Commodity derivatives have a crucial role to play in managing price risk especially in
agriculture dominated economies. However, they have been utilized in a very limited scale in India. As long as
prices of many commodities are restrained to certain extent by Government intervention in production, supply and
distribution, forwards and futures markets for hedging rice risk in those commodities have only limited practical
relevance. A review of the nature of institutional and policy level constraints facing this segment calls for more
focused and pragmatic approach from government, the regulator and the exchanges for making the agricultural
futures markets a vibrant segment for risk management”.
3.2 According to Peter Gibbon Danish Institute for International Studies, Copenhagen. The commodity
question: new thinking on old problems - “This paper reviews more and less mainstream policy options in
relation to the „commodity question‟ in the light both of its classical definition and of the emerging concern about
oligopoly. It begins by updating the evidence concerning commodity price decline and volatility, and examining the
implications of these phenomena for macro-economic performance and livelihoods in producing countries”.
3.3 According to Stephen Craig,"The Self-Regulation of Commodity Exchanges: The Case of Market
Manipulation."-“The paper deals with Price dissemination that every Mandy becomes a monopoly to the local
producers, especially once they come to the market. Farmers typically face a short period between the time that they
harvest and the time that they can sell the crop”.
3.4 According to Katherine Dusak, Futures Trading and Investor Returns: An Investigation of Commodity
Market Risk Premiums. “The long-standing controversy over whether speculators in a futures market earn a risk
premium is analyzed within the context of the capital asset pricing model recently developed by harpe, Lintner, and
others. Under that approach the risk premium required on a futures contract should depend not on the variability of
prices but on the extent to which the variations in prices are systematically related to variations in the return on
total wealth. The systematic risk was estimated for a sample of wheat, corn, and soybean futures contracts over the
period 1952 to 1967 and found to be close to zero in all three cases. Average realized holding period returns on the
contracts over the same period were close to zero”.
3.5 According to Susan Thomas, Agricultural commodity markets in India-Policy issues for growth:
“Strengthening institutions in spot and derivative markets for commodities is a necessary ingredient of the
liberalization process in agriculture, and can impact upon the lives of millions. n this paper, we describe the
existing market design prevalent on both the spot and the futures markets. We show some evidence on the role
played by the nascent futures markets in price discovery. We document the problems of both the spot and the
futures markets. We offer three policy proposals: using reference rates for strengthening transparency, exploring a
greater role for cash settlement, and treating warehouse receipts as securities”.
3.6 According to N.Sathish Kumar, Asst. Professor & Head, Department of Business Management. Vivekananda
PG College, Karimnagar “After almost two years that commodity trading is finding favor with Indian investors and is
been seen as a separate asset class with good growth opportunities. For diversification of portfolio beyond shares, fixed
deposits and mutual funds, commodity trading offers a good option for long-term investors and arbitrageurs and
speculators. And, now, with daily global volumes in commodity trading touching three times that of equities, trading in
commodities cannot be ignored by Indian investors.
Online commodity exchanges need to revamp certain laws governing futures in commodities to make the markets more
attractive. The national multi-commodity exchanges have unitedly proposed to the government that in view of the
growth of the commodities market, foreign institutional investors, too, should be given the go-ahead to invest in
commodity futures in India. Their entry will deepen and broad base the commodity futures market. As a matter of fact,
derivative instruments, such as futures, can help India become a global trading hub for select commodities.
Commodity trading in India is poised for a big take-off in India on the back of factors like global economic recovery and
increasing demand from China for commodities. Considering the huge volatility witnessed in the equity markets recently
with the Sensex touching 6900 level commodities could add the required zing to investors' portfolio. Therefore, it won't
be long before the market sees the emergence of a completely redefined set of retail investors.
3.7 According to Chua, Jess H., Gordon Sick, and Richard S. Woodward (1990). "Diversifying with Gold Stocks"
“The authors extend Jaffe’s (1989) study by examining the relative investment benefits of investing in gold equities
versus gold bullion during the period September 1971 through December 1988. By splitting their sample period into two
sub periods, the authors show that the diversification benefits of gold bullion are much more consistent than the
diversification benefits of gold equities. In particular, they find that the beta of gold equities more than doubled between
the 1970s and 1980s, whereas the beta of gold bullion remained largely unchanged at approximately zero in both periods.
Thus, the authors question the diversification benefits of gold equities, particularly over short investment horizons.”
3.8 According to de Roon, Frans A., Theo E. Nijman, and Chris Veld (2000). "Hedging Pressure Effects in
Futures Markets " Journal of Finance, “We present a simple model implying that futures risk premium depend on both
own-market and cross-market hedging pressures. Empirical evidence from 20 futures markets, divided into four groups
(financial, agricultural, mineral, and currency) indicate that, after controlling for systematic risk, both the futures own
hedging pressure and cross-hedging pressures from within the group significantly affect futures returns. These effects
remain significant after controlling for a measure of price pressure. Finally, we show that hedging pressure also contains
explanatory power for returns on the underlying asset, as predicted by the model.” (p. 1437).
3.9 According to Dusak, Katherine (1973). "Futures Trading and Investor Returns: An Investigation of
Commodity Market Risk Premiums." Journal of Political Economy, Vol. 81, No. 6 (November/December): 1387-
1406. “The long-standing controversy over whether speculators in a futures market earn a risk premium is analyzed
within the context of the capital asset pricing model recently developed by Sharpe, Linter, and others. Under that
approach the risk premium required on a futures contract should depend not on the variability of prices but on the extent
to which the variations in prices are systematically related to variations in the return on total wealth. The systematic risk
was estimated for a sample of wheat, corn, and soybean futures contracts over the period 1952 to 1967 and found to be
close to zero in all three cases. Average realized holding period returns on the contracts over the same period were close
to zero.” (p. 1387)
3.10. According to Edwards, Franklin R., and Jimmy Liew (1999). "Managed Commodity Futures" Journal of
Futures Markets, Vol. 19, No. 4 (June): 377-411. “The authors examine the performance of managed commodity
futures as represented by public commodity funds, commodity pool operators, and commodity trading advisers. The
authors indicate that the costs associated with investing in CPOs and CTAs may be quite large because the funds may
incur significant transaction costs, which are added to a number of fees charged to investors, including management fees,
profit-based incentive fees, and loads. Despite these relatively high costs, the authors find that the net return to
commodity fund investments is frequently relatively attractive. Each individual fund, however, has relatively volatile
returns, so the stand-alone performance of managed commodity futures is poor relative to traditional investments. The
authors find that, in general, adding a portfolio of CPOs or CTAs to a traditional investment portfolio enhances portfolio
performance. In addition, the authors compare the returns to CTAs and CPOs with the returns to the passive
Reuters/Jefferies CRB Index and the MLM. The MLM is a dynamic index based on momentum in commodity prices,
which is consistent with the strategy followed by many managed futures funds. The authors find a significant positive
relationship between the returns to managed futures and the MLM but no significant relationship between managed funds
and the CRB. This finding is consistent with the contention that the MLM provides a general indicator of the
performance of managed futures. The authors also find, however, that neither the MLM nor the CRB supplants managed
futures in their derived efficient portfolios.”
CHAPTER III
RESEARCH METHODOLOGY
The methodology of research indicates the general pattern of organizing the procedure of gathering valid and reliable data
for the problem under investigations (Kothari, 1996). The methodology of this study includes the choice of the research
approach, sampling technique, development of the tool, data collection procedure and method of analysis based on the
statement and objectives of the study.
Research approach
The selection of the research approach is the basic procedure for the conduct of research. A research approach tells the
investigator as to what data to collect and how to analyze it. It also suggests possible conclusion to be drawn from the
data.
The research approach refers to the investigator overall plan for obtaining answers to the research question and for testing
the research hypothesis. It spells out the strategies that the investigator adopts to develop information that is accurate,
objective and interpretable. It is set of flexible guide spots designed to keep the investigator in the right direction.(Polit
and Hungler, 1999).
4.1 RESEARCH DESIGN
Research design constitutes the blue print for the collection and analysis of the data. Research design is essential as
it facilitates the smooth sailing of various research operations so as to make the research as efficient as possible
yielding maximum information with minimum of effort, time, and money.
"Decisions regarding what, when, how, how much by what means concerning a research constitutes the research
design.” --C.R. Kothari
DESCRIPTIVE RESEARCH:
Descriptive Research includes surveys and fact - finding enquiries of different kinds of the major purpose of
descriptive research is description of the state of affairs as it exists at present. In social science and business research
we quite often use the term ex post facto research for description research studies.
SAMPLING UNIT
Business Men, Professionals, Employed personnel, others like House wife etc.
SAMPLE SIZE
A sample size of 120 investors was selected for the study in the Gobi Region.
METHOD OF DATA COLLECTION
Here the researcher mainly used primary data.
A. PRIMARY DATA
Data are collected for the first time for a specific purpose in mind using the questionnaire method and interview
method.
B. SECONDARY DATA
The secondary data was collected from the company Journals, Reports, Magazines, Internet and Materials obtained
from the commodity product in the regional Office.
4.2 SAMPLING TECHNIQUE
This sampling method involves purposive or deliberate selection of particular units of the universe for consulting a
sample, which represents the universe.
Non Probability- Convenience Sampling:
When population elements are selected for inclusion in the sample based on the ease of access it can be called
convenience sampling
4.3 TOOLS FOR ANALYSIS
1. Simple No. of Respondents in (%) analysis
2. Chi-Square Test
3. Correlation Analysis
4. Weighted Average
5. ANOVA
IN THIS PROJECT ONLY 3 TOOLS ARE USED:
1. SIMPLE NO.OF RESPONDENTS IN (%) ANALYSIS
No. of Respondents in (%) analysis is a simple and effective method used for analyzing collect data. It
provides clear distribution of respondent’s responses. Using this method we can get clear view of how
customer respondents to a specific query distributed among different options.
No. of Respondents in (%) = (Number of Respondent/ Total Respondents) X 100
2. CORRELATION ANALYSIS:
It is helps to determine the strength of linear between the two variables X &Y. In other words as to how
strongly are these two variables correlated. Karl Pearson, in 1986 developed and index or co-efficient of these
association in case where the relationship is a linear one. i.e. where the trend of the relationship can be
described by a straight line.
N Σ dx dy – (Σ dx) (Σ dy)
r = ------------------------------------------
√NΣdx² - (Σ dx) ² √NΣ dy² - (Σ dy) ²
3. WEIGHTED AVERAGE:
Weighted average may be defined as the average obtained multiplying the various item in serious by certain
values know as weighted and the total of products so obtained is dividend by the total of weighted.
Weighted Average = ( XW/ W)
Where,
W- No. of Respondents favoring in the opinion
X- Value of the score to the option.
CHAPTER IV
Data Interpretation & Analysis
1. SIMPLE NO.OF RESPONDENTS IN PERCENTAGE ANALYSIS
Table No 5.1: The table showing the Age Group of the Respondents
S.No Age group No. of Respondents No. of Respondents in (%)
1 Below 25 yrs 19 15.8
2 25-50 yrs 41 34.2
3 50-75 yrs 52 43.3
4 Above75 yrs 8 6.7
Total 120 100
Chart No 5.1: Age Group of the Respondents
16%
34%43%
7%
Age group of Respondents
Below 25 yrs25-50 yrs50-75 yrsAbove75 yrs
Inference:
From the above table, it is clear that 15.8% of the respondents are belongs to the age below 25yrs, 34.2% of
the respondents are belongs the age between 25 years to 50 years.43.3% of the respondents are belonging the age
between 50 years to 75 years. 6.7% of the respondents are belongs to above 75yrs of age group. Hence, the investors
belongs the age between 50 to 75 years are major investors in the market.
Table No 5.2: The table showing occupation of the Respondents
S.No Occupation No. of Respondents No. of Respondents in (%)
1 Business 33 27.5
2 Profession 46 38.33
3 Employed 27 22.5
4 Others 14 11.66
Total 120 100
Chart No: 5.2 The chart showing occupation of the Respondents
28%
38%
23%
12%
Occupations of Respondents
BusinessPrefessionEmployedOthers
Inference:
From the above table, it is reveals that 27.5% of the respondents are Businessmen, 38.3% of the respondents
are professional, 22.5% of the respondents are Employed & 11.6% of the respondents are private others. Hence, most of
the respondents are professionals.
Table No. : 5.3 The table showing Gender of the Respondents
S.No OccupationNo. of
Respondents
No. of Respondents
in (%)
1 Male 92 76.7
2 Female 28 23.3
Total 120 100
Chart No: 5.3: The chart showing Gender of the Respondents
Gender of Respondents Percentage
Male 92 76.7
Female 28 23.3
5
15
25
35
45
55
65
75
85
95
Gender of Respondents
Inference:
From the above table, it is notified that 76.7% of the respondents are Male and 23.3% of the respondents are Female.
Table No.5.4: The table showing Educational Qualifications of the Respondents
S.NoEducational
QualificationsNo. of Respondents No. of Respondents in (%)
1 Up to 12th 20 16.7
2 UG 48 40
3 PG 38 31.7
4 Others 14 11.7
Total 120 100
Chart No. 5.4: The chart showing Educational Qualifications of the Respondents
17%
40%
32%
12%
Educational Qualifications of Respondents
Up to 12thUGPGOthers
Inference:
From the above table, it is shows that 16.7% of the respondents are in the category of up to 12 th, 40% of the
respondent’s Educational qualifications are UG, 31.7% of the respondents are belongs to PG and 11.7% of the
respondent’s Educational qualifications are others. Hence, majority of the respondents are falls in UG.
Table No.5.5: The table showing Annual Income of the Respondents
S.No Annual Income No. of Respondents No.of Respondents in (%)
1 Below 2 Lakhs 40 33.3
2 2 Lakhs -4 Lakhs 28 23.3
3 4 Lakhs-6 Lakhs 23 19.2
4 Above 6 Lakhs 29 24.2
Total 120 100
Chart No: 5.5 : The chart showing Annual Income of the Respondents