final ppt of sip
TRANSCRIPT
ASUMMER INTERNSHIP PROJECT PRESENTATION
ON“A STUDY ON Currency Futures, its features and modus
operandi at Arihant capital market Ltd.
SUBMITTED TO (Oakbrook Business School)
GUJARAT TECHNOLOGICAL UNIVERSITY(MBA PROGRAMME)
SUBMITTED BY
Saloni Parghi Bhavin Surani [ ENROLLMENT NO.: 148320592087] [ENROLLMENT NO.:
148320592052]
INTRODUCTION OF THE INDUSTRY
A financial market is a market in which people trade financial securities, commodities, and other fungible items of value at low transaction costs and at prices that reflect supply and demand. Securities include stocks and bonds, and commodities include precious metals or agricultural goods.
• Capital markets : Commodity, Derivatives, Futures, Insurance, Foreign exchange markets.
• Money markets
INTRODUCTION OF THE COMPANY
• Services• Online trading• Depository• Portfolio
management system• Advisory Services
• Products• Equity & Derivatives• Mutual funds• IPO• Currency• Commodities
ARIHANT capital markets ltd.
• Established in 1994
INTRODUCTION OF THE TOPIC
01.08.14
4 Currency: USD, GBP, EURO, JPY• Futures • OptionsFeatures of currency futures:• Contract Size• Quoted and Settle in Indian Rupees• Maturity • Settlement price
LITERATURE REVIEWRef. Objective Findings Anand and Kaushik (2008)
what motivates the management to use foreign currency derivatives in corporate India
Use of derivatives is hedging the risk (96.1 percent ranked it as the number one objective), arbitrage (55.3 ranked it as number two objective) and price discovery (36.4 percent assigned it rank two and 33.3 percent assigned it rank three). Speculative objective is the least preferred option (62.1 percent assigned rank four).
Sivakumar and Sarkar (2008)
to evaluate the various alternatives available to the Indian corporates for hedging currency exposure
that most Indian firms use forwards and options to hedge their foreign currency exposure.
Nair (2004) observed that in most of the countries, where currency futures have really flourished, the trading takes place on multiple commodity exchanges, rather than stock exchanges. Besides, since foreign operators – NRIs, FIIs etc. – are barred from participating, the new exchange means the contract can be traded only within India and that too, without involving any outflow of funds.
OBJECTIVES
• To know about the currency market in India.
• To assess the customer’s perception
• To motivate currency trading among the masses.
• Attributes that drives the retail investors for each asset market.
• Reasons for non-inclination of investors towards. 01.08.14
Research methodology
Descriptive Research: Data Collection: data collected by questionnaire which is included demographic information and related currency market dataSources of data: Primary data
Sampling size: 200 Questionnaire
Research methodology
Hypothesis:• Ho : There is a significant relation between
asset market and driving attributes of each asset market
• H1 : There is no significant relation between asset market and driving attributes of each asset market
Statistical tool : • Mean S.D and chi-square
Limitation:
• As only Ahmedabad was dealt in the survey so it does not represent the view of the total Indian market.
• The sample size was restricted with two hundred respondents.• There was lack of time on the part of respondents.• The survey was carried through questionnaire and the
questions were based on perception.• There may be biasness in information by market participant.• Complete data was not available due to company privacy and
secrecy.• Some people were not willing to disclose the investment
profile.
Data Analysis and Interpretation
Demographic information
Age :
Below 25 5825-30 4130-35 6935 Above 32Total 200
Age
Gender
Gender
Female 61Male 139Total 200
Profession
ProfessionGovt. Employee 32Grad/Post graduate student 26Others 13Self employed 63Service 66Total 200
Income
IncomeNo Income 25Rs. 11 lac & above 4Rs. 2.5 lac-Rs. 5 lac 60Rs. 5 lac-Rs. 8 lac 79Rs. 8 lac-Rs. 11 lac 32Total 200
Q-1 did you ever think of currency derivatives trading as an investment option
or profession?
No , but planning to invest after performing research
113
Never, What's Currency Derivatives 23Yes 64
Total20
0
Q-2 In which asset markets do you trade?
Commodity 52Mix 15Currency 42Equity 63No Trade 28
Total20
0
Q-3 Rate you expertise in the asset markets:
Beginner
Expert
Intermediate
Zero
Commodity 40 38 93 29Currency Derivatives 40 24 102 34Equity 26 63 96 15
Q-4 For which purpose you invest?
Hedging 56
import export 32
No Trade 5
Speculation
107
Total20
0
Q-5 what kind of trader best describes you?
Arbitrager
Hedger
no trade
Speculator
Commodity 18 63 34 85Currency Derivatives 13 89 43 55Equity 19 37 28 116
Q-6 choose the following driving attributes for each asset markets
Arbitrage
Hedging
Market volatility
no trade
Portfolio diversification
Returns
Commodity 15 37 29 28 24 67Currency Derivatives 5 85 13 42 23 32
Equity 39 42 13 39 12 55
Q-7 why do think Indian retail investors are less inclined towards currency derivatives
trading?
Insignificant
Neutral
Significant
Very Insignificant
very significant
Not enough self-knowledge 49 58 47 40 6Less popular among peers 23 88 35 25 9Lack of govt. Initiatives 26 84 61 9 20
Q-8 how effective would be the following factors to boost currency derivatives trading
in India?1 2 3 4 5
Through media broadcast 10 13 53 80 44Opportunity to trade in non US currency futures 38 43 63 46 10Relaxation of regulatory framework by SEBI 11 18 61 52 58
Through media
broadcast
Opportunity to
trade
Relaxation in regulation
Mean 3.675 2.735 3.64
S.D 1.04635 1.1582241.1519
7
Rank 1 3 2
Testing of hypothesis
Hypothesis:• Ho : There is a significant relation between asset
market and driving attributes of each asset market • H1 : There is no significant relation between asset
market and driving attributes of each asset marketCross Tabulation : Driving attributes and asset market
Driving Attributes : Portfolio diversification, returns, arbitrage, market volatility, hedging.
Cross Tabulation : Driving attributes and Equity
Crosstab Equity Driving attributes / equity
Total
Portfolio diversificati
onHedgin
gReturn
sArbitrag
eMarket
VolatilityNo
TradeAsset market
Equity Count 2 17 27 14 4 11 75Expected Count 4.5 15.8 20.6 14.6 4.9 14.6 75.0
% within Asset market 2.7% 22.7% 36.0% 18.7% 5.3% 14.7% 100.0%
Commodity
Count 5 12 11 14 6 4 52Expected Count 3.1 10.9 14.3 10.1 3.4 10.1 52.0
% within Asset market 9.6% 23.1% 21.2% 26.9% 11.5% 7.7% 100.0%
Currency Count 5 13 13 11 3 0 45Expected Count 2.7 9.4 12.4 8.8 2.9 8.8 45.0
% within Asset market 11.1% 28.9% 28.9% 24.4% 6.7% .0% 100.0%
No Trade Count 0 0 4 0 0 24 28Expected Count 1.7 5.9 7.7 5.5 1.8 5.5 28.0
% within Asset market .0% .0% 14.3% .0% .0% 85.7% 100.0%
Total Count 12 42 55 39 13 39 200Expected Count 12.0 42.0 55.0 39.0 13.0 39.0 200.0
% within Asset market 6.0% 21.0% 27.5% 19.5% 6.5% 19.5% 100.0%
Chi square Tests
Value df Asymp. Sig. (2-sided)Pearson Chi-Square 1.0602 15 .000Likelihood Ratio 101.198 15 .000Linear-by-Linear Association 14.810 1 .000N of Valid Cases 200
Driving attributes * Equity
• Chi square Tab(30.578) > Chi square Cal(1.0602)• So null hypothesis(Hnot) is Accepted so we can say
that there is a significance relation between Equity and driving attributes
Cross Tabulation : Driving attributes and CurrencyCrosstab
Driving attributes / Currency
Total Portfolio
diversification Hedging Returns ArbitrageMarket
VolatilityNo
TradeAsset market
Equity Count 12 30 8 4 6 15 75
Expected Count 8.6 31.9 12.0 1.9 4.9 15.8 75.0
% within Asset market
16.0% 40.0% 10.7% 5.3% 8.0% 20.0% 100.0%
Commodity Count 7 25 12 1 5 2 52
Expected Count 6.0 22.1 8.3 1.3 3.4 10.9 52.0
% within Asset market
13.5% 48.1% 23.1% 1.9% 9.6% 3.8% 100.0%
Currency Count 3 29 12 0 1 0 45
Expected Count 5.2 19.1 7.2 1.1 2.9 9.4 45.0
% within Asset market
6.7% 64.4% 26.7% .0% 2.2% .0% 100.0%
No Trade Count 1 1 0 0 1 25 28
Expected Count 3.2 11.9 4.5 .7 1.8 5.9 28.0
% within Asset market
3.6% 3.6% .0% .0% 3.6% 89.3% 100.0%
Total Count 23 85 32 5 13 42 200
Expected Count 23.0 85.0 32.0 5.0 13.0 42.0 200.0
% within Asset market
11.5% 42.5% 16.0% 2.5% 6.5% 21.0% 100.0%
Chi square Tests
Driving attributes * Currency
Value Df Asymp. Sig. (2-sided)Pearson Chi-Square 1.1612 15 .000Likelihood Ratio 113.515 15 .000Linear-by-Linear Association 15.654 1 .000N of Valid Cases
200
• Chi square Tab(30.578) > Chi square Cal(1.1612)
• So null hypothesis(Hnot) is accepted so we can say that there is a significance relation between currency and driving attributes
Cross Tabulation : Driving attributes and Commodity
Crosstab Driving attributes / Commodity
Total
Portfolio diversifica
tionHedgi
ngRetur
nsArbitra
ge
Market Volatilit
y
No Trad
eAsset market
Equity Count 13 16 25 8 11 2 75Expected Count 9.0 13.9 25.1 5.6 10.9 10.5 75.0% within Asset market 17.3% 21.3%33.3% 10.7% 14.7% 2.7
%100.0
%Commodity Count 2 11 24 3 10 2 52
Expected Count 6.2 9.6 17.4 3.9 7.5 7.3 52.0% within Asset market 3.8% 21.2%46.2% 5.8% 19.2% 3.8
%100.0
%Currency Count 7 10 17 4 7 0 45
Expected Count 5.4 8.3 15.1 3.4 6.5 6.3 45.0% within Asset market 15.6% 22.2%37.8% 8.9% 15.6% .0% 100.0
%No Trade Count 2 0 1 0 1 24 28
Expected Count 3.4 5.2 9.4 2.1 4.1 3.9 28.0% within Asset market 7.1% .0% 3.6% .0% 3.6% 85.7
%100.0
%Total Count 24 37 67 15 29 28 200
Expected Count 24.0 37.0 67.0 15.0 29.0 28.0 200.0% within Asset market 12.0% 18.5%33.5% 7.5% 14.5% 14.0
%100.0
%
Chi square Tests
• Chi square Tab(30.578) > Chi square Cal(1.4842)• So null hypothesis(Hnot) is accepted so we can say
that there is a significance relation between commodity and driving attributes
01.08.14
Value df Asymp. Sig. (2-sided)Pearson Chi-Square 1.4842 15 .000
Likelihood Ratio 117.157 15 .000Linear-by-Linear Association 30.313 1 .000
N of Valid Cases 200
Driving attributes * Commodity
FINDINGS
• The major responders find are male and there are major no. Of age group between 30 to 35 years.
• There is a majority of service class and self-employed class in this research.
• The major no. Of responders are having income of Rs. 5 to 8 lacs.
• From the data we found that major no. Of people are planning to invest in currency futures after performing research.
FINDINGS
• We have observed from collected data that the major no. Of expertise are intermediate in all asset markets.
• Customers are having negative perception about currency futures.
• The higher no of purposes are speculations in equity market as per collected data.
Suggestions
• Give more reasons of less inclination of investors
• Boost currency trading by media broadcast
• Remove negative perception about currency
CONCLUSION
As per our Research and Findings we would like to conclude that There is negative perception about currency in the mind of investors and if we want to boost the currency trading in India we should take a help of media broadcasts but we can’t conclude the reason of the less inclination towards currency trading because people have neutral responses of said reasons. It seems that they are not clear about the reasons or might be they have other reasons of less inclination. We also put hypothesis on the research in which we had proved that there is a significance relation between all asset market and the driving attributes of asset. We are also concluding on the basis of our research that most people prefer equity first.
BIBLIOGRAPHYBook referred: - Research Methodology by C R KothariReference:• Nair, C.K.G. (2004) ‘Commodity Futures Markets in India: Ready
for Take-off’ Nsenews letter, July 2004.• Kaushik (2008), Use of foreign currency derivates in India IIMB
Management Review, 20(3), July - September, 2008, pp. 324-339• Sivakumar and Sarkar (2008), Corporate Hedging for Foreign
Exchange Risk in India• Dash and Madhava (2008), A study on the impact of currency
fluctuation on the Indian IT Sector(April 15, 2008) Available at SSRN: http://ssrn.com/abstract=1326506
• Jesswein, Kwok and Floks (1995), Jesswein, Kurt, Chuck C. Y. Kwok, and William Folks, Jr. “Corporate Use of Innovative Foreign Exchange Risk Management Products.” Columbia Journal of World Business (Fall 1995), pp. 70–82.
Websites:- • www.arihantcapital.com, www.sebi.gov.in, www.nseindia.com,
www.bse.com
Thank you