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International Journal of Research Publication and ReviewsVol (2) Issue (1) (2021) Page 42-47
International Journal of Research Publication and Reviews
Journal homepage: www.ijrpr.com ISSN 2582-7421
* Corresponding author.
E-mail address: hariharan23900@gmail.com
A Study on Analysis of Financial Econometrics and Financial
Mathematical Techniques in Capital Markets
N.Hariharan*, K. Hariprasath
UG Students,Parvathys Arts and Science College,Wisdom City, Dindigul - 624 001,Tamil Nadu INDIA.
Assistant professor, Department of commerce ,Parvathys Arts and Science College, Wisdom City, Dindigul - 624 001,Tamil Nadu INDIA.
AB S T R A C T
Money related econometrics are the critical contraptions uses in financial business areas, these gadgets are urges the theorists to assess the peril and returns in
their endeavors. Money related econometric and Financial mathematical techniques are extensively used in theories made in capital business areas. Capital
business areas are the place where examiners pooled their enormous proportion of adventures for better returns and capital appreciation. It is seen that the
endeavor made in capital business areas are at risk to promote danger. The evaluation of threat is key factor for monetary expert before putting their hold
assets in capital market. The financial econometric systems will offer confirmation to the theorists about their risk related with capital markets.The present
examination analyzed peril and return instances of theorists using financial econometrics and financial mathematical assessment and the examination
furthermore revolved around measure to make an effort not to risk accord to feature changes.
Keywords: Monetary Econometrics, Investment, Risk, Return and Capital Markets
1. Introduction
The Economist's Dictionary of Economics describes Econometrics as "The setting up of mathematical models portraying mathematical models depicting
money related associations, (for instance, that the sum mentioned of a nice is penniless insistently on compensation and conflictingly on worth), testing
the authenticity of such hypotheses and surveying the limits to get an extent of the characteristics of the effects of the assorted self-ruling variables."
Econometrics is a lot of real contraptions that licenses market examiners to test theories using genuinely world data. Financial econometrics has been
portrayed as the usage of authentic methodologies to issues in record. People working in the record business or investigating the cash territory consistently
use econometric methods in an extent of activities – for example, in favor of portfolio the heads, peril the board and in the assessment of assurances.
2. History and Background Study of Econometrics
After the significant stretches of relative dismissal in academic circles, portfolio choice issues are again at the bleeding edge of financial investigation. The
monetary theory essential an examiner's optimal portfolio choice, led by Markowitz 1952, Merton 1969, Samuelson 1969 and Fama 1970 is now clearly
knew. The in general point of convergence of the energy academic assessment is to recognize key piece of certifiable portfolio choice issues and to see
emotionally similarly as quantitatively their 4role in the ideal endeavor selections of individuals and establishments.
INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 43
3. Overview of Capital Markets
Money related atmosphere of a nation is by and large depicted by the capable initiation and usage of financial resources. A decent monetary atmosphere
pulls in theories, which along these lines impacts the improvement of the economy. The sum and nature of assets in a nation at a specific. time is one of
the major models for the examination of money related new development. Assets in an economy is widely disengaged by their characteristics into
Physical, Financial and unimportant assets. Money related assets help the real assets with delivering activity. Money related assets have express properties
like monetary worth, distinctness, convertibility, reversibility, liquidity and pay that remember it from genuine assets. These properties of money related
asset provoked the improvement of financial business areas. Unequivocal money related business areas are progressed to consider the exceptional
necessities of the financial instruments introduced.
4. Capital Markets In India
Move of resources from those with idle resources for others who have a helpful prerequisite for them is perhaps most capably achieved through the capital
market. Subsequently, capital market offers channels to reallocation of hold assets to adventures and business and as such decouples these two activities.
Along these lines, the savers and examiners are not obliged by their individual limits, anyway by the economy's abilities to contribute and save
independently, which unavoidably improves save assets and interest in the economy. 87 The presence of Indian capital business areas returns to the
eighteenth century when the securities of the East India Company were traded Mumbai and Kolkata.
Right when the American Civil War began, the opening shot of the Suez Canal during the 1860s incited a massive development in admissions to the
United Kingdom and United States. A couple of associations were outlined during this period and various banks went to the front to manage the assets
relating to these trades. With an enormous number of these enrolled under the British Companies Act, the Stock Exchange, Mumbai, showed up in 1875.
It was a unincorporated gathering of stockbrokers, which started cooperating in the city under a banyan tree. Business was fundamentally restricted to
association owners and shippers, with close to no interest showed by the general populace.
There had been a great deal of change in the monetary trade by temperance of the American war and the battles in Europe. Nevertheless, the effective
advancement of the capital market began with the setting up of The Stock Exchange, Bombay in July 1875 and Ahmadabad Stock Exchange in 1894.
Eventually, 22 distinct Exchanges in various metropolitan territories hopped up. Sir Pharoses Jeejeebhoy was another who controlled the protections trade
scene from 1946 to 1980. His declaration was law and he had a ton of effect over the two specialists and the public position.
He was a good regulator and various crises were redirected in light of his quickness and presence of mind. The BSE building, image of the Indian capital
business areas, is called PJ Tower in his memory. The orchestrating cycle started in India in 1951, with hugeness being given to the advancement of
establishments and markets. The Securities Contract Regulation Act 1956 transformed into the parent rule after the Indian Contract Act 1872, a principal
law to be followed by security markets in India. To deal with the issue of offer costs, the Controller of Capital Issues Act (CCI) was passed in 1947.
The monetary trades have had various furious events over the latest 140 years of their world. The weight of bounty and utilization charge in 1957 by Mr.
T.T. Krishnamachari, the then record serve, provoked a tremendous fall in the business areas. The benefit freezes and cost on additional issues in 1958-59
in like manner had a negative impact. Fight with China in 1962 was another outstandingly awful year, with the resultant lacks growing expenses as a rule.
This incited a limitation on forward trading product 88 business areas in 1966, which was again an outstandingly horrendous period, alongside the
introduction of the Gold Control Act in 1963.
The business areas have seen a couple of splendid events also. Retail theorists began participating in the monetary trades in a little way with the
debilitating of the FERA in 1978. Overall associations, with undertakings in India, needed to decrease new shareholding to under a particular rate, which
provoked a compulsory proposal of offers or issuance of new stock. Indian examiners, who applied for these offers, encountered an authentic lottery
because those were the days when the CCI picked the expense at which the offers could be given.
5. Review Literature
A composing review examines scholarly articles, books and various sources material to explicit review surveys canny articles, books and various sources
relevant to explicit issue, zone or investigation, or theory, giving a depiction, layout and essential evaluation of each work. India has a rich show of
building economy-wide quantitative models. Indian Macro-Econometric Models are rich in substance, by any rules. Krishnamurty (2002) gives a
marvelous overview of Indian Macro-econometric Models. Indian experts moreover set forth bunch endeavors to build and keep up models for India. Two
such gatherings are the IEG-DSE Research Team (May 1995) and the IEG-CPB-IPC Research Team (1997).
Shah(1999)4describes the monetary area changes in India as an effort to create monetary business sectors as an elective vehicle deciding the assignment of
capital in the economy. Sinha(1993)5commentup on the Indian capital market when all is said in done and exchanging frameworks the stock trades
specifically and propose that the frameworks in that are somewhat outdated and wasteful, and experience the ill effects of significant shortcoming and
misbehaviors. As per the vast majority of these investigations, huge changes are required if the stock trades are to be outfitted upto the visualized
development in the Indian capital market. Shirai(2004)6examines the effect of monetary and capital market changes on corporate money in India. India's
monetary and capital market changes incetheearly1990 shave a positive effect on both the financial area and capital business sectors.
44 International Journal of Research Publication and Reviews Vol (2) Issue (1) (2021) Page 42-47
6. Objectives
Coming up next are the destinations used to broke down to survey danger and profits of the speculators for their ventures made in capital business sectors.
1. To identify the danger engaged with Capital business sectors Investments
2. To gauge the danger and returns of Investors by utilizing monetary econometrics strategies
3. To evaluate the effect of monetary econometrics strategies in estimating danger and sreturns of speculations
7. Data Analysis
The current examination dissected danger and return examples of the chose hundred number speculators utilizing monetary econometric and monetary
numerical strategies which are effectively utilized in capital business sectors. To survey the danger of speculators by considering his normal return the
straight relapse investigation is utilized and deciphered in present information examination considered for research
8. Demographic Factor Analysis of investments
Analysis based on Gender:
Gender of Investor
Frequency Percent Valid Percent Cumulative Percent
Male 70 70 .0 70.0 70.0
Female 30 30 .0 30.0 100.0
Total 100 100 .0 100.0
Hundred number of investors are randomly selected for conducting research analysis and it is found 70% of investors are male and remaining 30%
investors are female.
RISK INVESTOR IN %
Valid Frequency Percent Valid Percent Cumulative Percent
0-5 24 24.0 24.0 24.0
6-10 20 20.0 20.0 44.0
11-15 26 26.0 26.0 70.0
16-20 15 15.0 15.0 85.0
21 above 15 15.0 15.0 100.0
100 100.0 100.0
INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 45
The above is the table highlight the percentage of risk where investors are likely to bear for their investments made in capital markets, it is found the
majority of the investors are willing to take risk between 10 – 15% on their investments followed by 0 – 5%. A significant number of investor are ready to
take between 16 – 20% and 20% and above.
EXPECTED INVESTOR IN %
From the above majority of investors are expecting 40% and above return on their investments made in capital markets. It is observed that very less
investors are expecting lower returns i.e., less than 20% on their investments. 21% investors are expecting returns between 11 -20% on their investments,
18% investors are expecting 21 – 30% and 20% are expecting 31 -40% expecting returns on their investments.
Valid Frequency Percent Valid Percent Cumulative Percent
0-5 19 19.0 19.0 19.0
6-10 21 21.0 21.0 40.0
11-15 18 18.0 18.0 58.0
16-20 20 20.0 20.0 78.0
21 above 22 22.0 22.0 100.0
100 100 100
46 International Journal of Research Publication and Reviews Vol (2) Issue (1) (2021) Page 42-47
LINER REGRESSOPN ANALYSIS TO ASSESS RISK OF INVESTOR
Modal
Variable
entread
Variables
removed
Moethod
1
Type of investor, Experience in capital market ,
expected return of investor, gender of investor.
-
Enter
1) All mentioned factors entered.
2) Dependent Variable: Risk of Investor
MODAL SUMMARY
Model R
R
Sequare
Adjusted R
seqare
Std. Error of
the
Estimane
R Square
change
F change Df 1 Df 2
Sig. f
Change
Durbin
Waston
1 .263 .069 0.30 1.349 .069 1.759 4 95 .144 1.958
1) Predictors: (Constant), Type of Investor, Experience in Capital market, Expected return of Investor, Gender of Investor
2) Dependent Variable: Risk of Investor
Interpretation: From rom the above synopsis of test insights the changed R square is noticed is 0.03 i.e., the fluctuation between the chose factors is
showing up roughly 3%, The noticed R esteem is 0.263 i.e., the connection among autonomous and subordinate factors is around 26.3%.
HYPOTHESIS TESTING
H0: The danger of financial specialist isn't impacted by the sexual orientation, experience, speculator type and returns
H1: The danger of financial specialist is impacted by the sexual orientation, experience, speculator type and returns
ANOVA
Modal
Sums of
squares
dif Mean square f Sig
Regression 12.804 S4 3.201 1.759 .144
Residual 172.906 95 1.820
Total 185.710 99
1 Predictors: (Constant), Type of Investor, Experience in Capital market, Expected return of Investor, Gender of Investor
2 Dependent Variable: Risk of Investor
Interpretation: The above anova test criticalness esteem showed up at 0.144 i.e., p > 0.05, here the elective speculation is dismissed and result can be
deciphered as the danger of speculator isn't impacted by the components like sex, insight, sort of financial specialist and returns anticipated.
INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 47
COEFFICIETS
Modal
Unstandardized
coefficients
Standaedized
coofficients
T Sig.
B Std. Error Beta
Constant 1.491 .675 2.208 .030.
Experience in
capital market
.229 .165 .138 1.387 .169
Gender of investor .576 .300 .194 1.919 .058
Expected return of
investor
.117 .096 .122 1.218 .226
Type of investor -.190 .274 .-691 -691 .491
Dependent Variable: Risk of Investor
The above coefficients table establishes the relation between dependent variable and independent variable and it estimates the risk taking capacity of the
investor based on investments made in capital markets. The following is the formula identified to assess the risk factor of investor using econometric
technique called linear regression.
Risk = 1.491 + 0.229(experience in capita market) + 0.576(Gender code of investor) + 0.117(expected return of investor) – 0.19(Type of investor code)
The above is formula adopted for there is a positive correlation existed between the variable considered for study.
9. Conclusion
Capital market investments are effective financial instruments involved in high risk based on market conditions, the assessment of risk is very important
for investor to know the position of investment in market, in this the financial econometric and mathematical analysis is very important for investor to
predict the returns of the investor. It is found from the following study by using tools of the financial econometrics that the investor risk not influenced by
the gender, experience and expected returns of an investors, and this analysis helps the investor to monitor his investment and suggests suitable
diversification of investment according to market fluctuations. The present study recommends the investor to do technical analysis using financial
econometric techniques before investing their savings in capital markets.
REFERENCES
TEXTS
Financial Risk Modeling and Portfolio Optimization with R (statistics in Practice) by Bernhard Pfaff
IIM Ahmadabad Business books: day to day Economics
The Econometrics of Financial Markets (2007) by A. Craigmackinlay
REPORTS
SEBI Annual Reports
Planning commission report on Financial Markets in India.
WEBSITES
www.rbi.gov.in
www.sidbi.gov.in
www.google.com
www.forex.com

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12 capital market 9 entreperneurshioed article published in international jouranl

  • 1. International Journal of Research Publication and ReviewsVol (2) Issue (1) (2021) Page 42-47 International Journal of Research Publication and Reviews Journal homepage: www.ijrpr.com ISSN 2582-7421 * Corresponding author. E-mail address: hariharan23900@gmail.com A Study on Analysis of Financial Econometrics and Financial Mathematical Techniques in Capital Markets N.Hariharan*, K. Hariprasath UG Students,Parvathys Arts and Science College,Wisdom City, Dindigul - 624 001,Tamil Nadu INDIA. Assistant professor, Department of commerce ,Parvathys Arts and Science College, Wisdom City, Dindigul - 624 001,Tamil Nadu INDIA. AB S T R A C T Money related econometrics are the critical contraptions uses in financial business areas, these gadgets are urges the theorists to assess the peril and returns in their endeavors. Money related econometric and Financial mathematical techniques are extensively used in theories made in capital business areas. Capital business areas are the place where examiners pooled their enormous proportion of adventures for better returns and capital appreciation. It is seen that the endeavor made in capital business areas are at risk to promote danger. The evaluation of threat is key factor for monetary expert before putting their hold assets in capital market. The financial econometric systems will offer confirmation to the theorists about their risk related with capital markets.The present examination analyzed peril and return instances of theorists using financial econometrics and financial mathematical assessment and the examination furthermore revolved around measure to make an effort not to risk accord to feature changes. Keywords: Monetary Econometrics, Investment, Risk, Return and Capital Markets 1. Introduction The Economist's Dictionary of Economics describes Econometrics as "The setting up of mathematical models portraying mathematical models depicting money related associations, (for instance, that the sum mentioned of a nice is penniless insistently on compensation and conflictingly on worth), testing the authenticity of such hypotheses and surveying the limits to get an extent of the characteristics of the effects of the assorted self-ruling variables." Econometrics is a lot of real contraptions that licenses market examiners to test theories using genuinely world data. Financial econometrics has been portrayed as the usage of authentic methodologies to issues in record. People working in the record business or investigating the cash territory consistently use econometric methods in an extent of activities – for example, in favor of portfolio the heads, peril the board and in the assessment of assurances. 2. History and Background Study of Econometrics After the significant stretches of relative dismissal in academic circles, portfolio choice issues are again at the bleeding edge of financial investigation. The monetary theory essential an examiner's optimal portfolio choice, led by Markowitz 1952, Merton 1969, Samuelson 1969 and Fama 1970 is now clearly knew. The in general point of convergence of the energy academic assessment is to recognize key piece of certifiable portfolio choice issues and to see emotionally similarly as quantitatively their 4role in the ideal endeavor selections of individuals and establishments.
  • 2. INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 43 3. Overview of Capital Markets Money related atmosphere of a nation is by and large depicted by the capable initiation and usage of financial resources. A decent monetary atmosphere pulls in theories, which along these lines impacts the improvement of the economy. The sum and nature of assets in a nation at a specific. time is one of the major models for the examination of money related new development. Assets in an economy is widely disengaged by their characteristics into Physical, Financial and unimportant assets. Money related assets help the real assets with delivering activity. Money related assets have express properties like monetary worth, distinctness, convertibility, reversibility, liquidity and pay that remember it from genuine assets. These properties of money related asset provoked the improvement of financial business areas. Unequivocal money related business areas are progressed to consider the exceptional necessities of the financial instruments introduced. 4. Capital Markets In India Move of resources from those with idle resources for others who have a helpful prerequisite for them is perhaps most capably achieved through the capital market. Subsequently, capital market offers channels to reallocation of hold assets to adventures and business and as such decouples these two activities. Along these lines, the savers and examiners are not obliged by their individual limits, anyway by the economy's abilities to contribute and save independently, which unavoidably improves save assets and interest in the economy. 87 The presence of Indian capital business areas returns to the eighteenth century when the securities of the East India Company were traded Mumbai and Kolkata. Right when the American Civil War began, the opening shot of the Suez Canal during the 1860s incited a massive development in admissions to the United Kingdom and United States. A couple of associations were outlined during this period and various banks went to the front to manage the assets relating to these trades. With an enormous number of these enrolled under the British Companies Act, the Stock Exchange, Mumbai, showed up in 1875. It was a unincorporated gathering of stockbrokers, which started cooperating in the city under a banyan tree. Business was fundamentally restricted to association owners and shippers, with close to no interest showed by the general populace. There had been a great deal of change in the monetary trade by temperance of the American war and the battles in Europe. Nevertheless, the effective advancement of the capital market began with the setting up of The Stock Exchange, Bombay in July 1875 and Ahmadabad Stock Exchange in 1894. Eventually, 22 distinct Exchanges in various metropolitan territories hopped up. Sir Pharoses Jeejeebhoy was another who controlled the protections trade scene from 1946 to 1980. His declaration was law and he had a ton of effect over the two specialists and the public position. He was a good regulator and various crises were redirected in light of his quickness and presence of mind. The BSE building, image of the Indian capital business areas, is called PJ Tower in his memory. The orchestrating cycle started in India in 1951, with hugeness being given to the advancement of establishments and markets. The Securities Contract Regulation Act 1956 transformed into the parent rule after the Indian Contract Act 1872, a principal law to be followed by security markets in India. To deal with the issue of offer costs, the Controller of Capital Issues Act (CCI) was passed in 1947. The monetary trades have had various furious events over the latest 140 years of their world. The weight of bounty and utilization charge in 1957 by Mr. T.T. Krishnamachari, the then record serve, provoked a tremendous fall in the business areas. The benefit freezes and cost on additional issues in 1958-59 in like manner had a negative impact. Fight with China in 1962 was another outstandingly awful year, with the resultant lacks growing expenses as a rule. This incited a limitation on forward trading product 88 business areas in 1966, which was again an outstandingly horrendous period, alongside the introduction of the Gold Control Act in 1963. The business areas have seen a couple of splendid events also. Retail theorists began participating in the monetary trades in a little way with the debilitating of the FERA in 1978. Overall associations, with undertakings in India, needed to decrease new shareholding to under a particular rate, which provoked a compulsory proposal of offers or issuance of new stock. Indian examiners, who applied for these offers, encountered an authentic lottery because those were the days when the CCI picked the expense at which the offers could be given. 5. Review Literature A composing review examines scholarly articles, books and various sources material to explicit review surveys canny articles, books and various sources relevant to explicit issue, zone or investigation, or theory, giving a depiction, layout and essential evaluation of each work. India has a rich show of building economy-wide quantitative models. Indian Macro-Econometric Models are rich in substance, by any rules. Krishnamurty (2002) gives a marvelous overview of Indian Macro-econometric Models. Indian experts moreover set forth bunch endeavors to build and keep up models for India. Two such gatherings are the IEG-DSE Research Team (May 1995) and the IEG-CPB-IPC Research Team (1997). Shah(1999)4describes the monetary area changes in India as an effort to create monetary business sectors as an elective vehicle deciding the assignment of capital in the economy. Sinha(1993)5commentup on the Indian capital market when all is said in done and exchanging frameworks the stock trades specifically and propose that the frameworks in that are somewhat outdated and wasteful, and experience the ill effects of significant shortcoming and misbehaviors. As per the vast majority of these investigations, huge changes are required if the stock trades are to be outfitted upto the visualized development in the Indian capital market. Shirai(2004)6examines the effect of monetary and capital market changes on corporate money in India. India's monetary and capital market changes incetheearly1990 shave a positive effect on both the financial area and capital business sectors.
  • 3. 44 International Journal of Research Publication and Reviews Vol (2) Issue (1) (2021) Page 42-47 6. Objectives Coming up next are the destinations used to broke down to survey danger and profits of the speculators for their ventures made in capital business sectors. 1. To identify the danger engaged with Capital business sectors Investments 2. To gauge the danger and returns of Investors by utilizing monetary econometrics strategies 3. To evaluate the effect of monetary econometrics strategies in estimating danger and sreturns of speculations 7. Data Analysis The current examination dissected danger and return examples of the chose hundred number speculators utilizing monetary econometric and monetary numerical strategies which are effectively utilized in capital business sectors. To survey the danger of speculators by considering his normal return the straight relapse investigation is utilized and deciphered in present information examination considered for research 8. Demographic Factor Analysis of investments Analysis based on Gender: Gender of Investor Frequency Percent Valid Percent Cumulative Percent Male 70 70 .0 70.0 70.0 Female 30 30 .0 30.0 100.0 Total 100 100 .0 100.0 Hundred number of investors are randomly selected for conducting research analysis and it is found 70% of investors are male and remaining 30% investors are female. RISK INVESTOR IN % Valid Frequency Percent Valid Percent Cumulative Percent 0-5 24 24.0 24.0 24.0 6-10 20 20.0 20.0 44.0 11-15 26 26.0 26.0 70.0 16-20 15 15.0 15.0 85.0 21 above 15 15.0 15.0 100.0 100 100.0 100.0
  • 4. INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 45 The above is the table highlight the percentage of risk where investors are likely to bear for their investments made in capital markets, it is found the majority of the investors are willing to take risk between 10 – 15% on their investments followed by 0 – 5%. A significant number of investor are ready to take between 16 – 20% and 20% and above. EXPECTED INVESTOR IN % From the above majority of investors are expecting 40% and above return on their investments made in capital markets. It is observed that very less investors are expecting lower returns i.e., less than 20% on their investments. 21% investors are expecting returns between 11 -20% on their investments, 18% investors are expecting 21 – 30% and 20% are expecting 31 -40% expecting returns on their investments. Valid Frequency Percent Valid Percent Cumulative Percent 0-5 19 19.0 19.0 19.0 6-10 21 21.0 21.0 40.0 11-15 18 18.0 18.0 58.0 16-20 20 20.0 20.0 78.0 21 above 22 22.0 22.0 100.0 100 100 100
  • 5. 46 International Journal of Research Publication and Reviews Vol (2) Issue (1) (2021) Page 42-47 LINER REGRESSOPN ANALYSIS TO ASSESS RISK OF INVESTOR Modal Variable entread Variables removed Moethod 1 Type of investor, Experience in capital market , expected return of investor, gender of investor. - Enter 1) All mentioned factors entered. 2) Dependent Variable: Risk of Investor MODAL SUMMARY Model R R Sequare Adjusted R seqare Std. Error of the Estimane R Square change F change Df 1 Df 2 Sig. f Change Durbin Waston 1 .263 .069 0.30 1.349 .069 1.759 4 95 .144 1.958 1) Predictors: (Constant), Type of Investor, Experience in Capital market, Expected return of Investor, Gender of Investor 2) Dependent Variable: Risk of Investor Interpretation: From rom the above synopsis of test insights the changed R square is noticed is 0.03 i.e., the fluctuation between the chose factors is showing up roughly 3%, The noticed R esteem is 0.263 i.e., the connection among autonomous and subordinate factors is around 26.3%. HYPOTHESIS TESTING H0: The danger of financial specialist isn't impacted by the sexual orientation, experience, speculator type and returns H1: The danger of financial specialist is impacted by the sexual orientation, experience, speculator type and returns ANOVA Modal Sums of squares dif Mean square f Sig Regression 12.804 S4 3.201 1.759 .144 Residual 172.906 95 1.820 Total 185.710 99 1 Predictors: (Constant), Type of Investor, Experience in Capital market, Expected return of Investor, Gender of Investor 2 Dependent Variable: Risk of Investor Interpretation: The above anova test criticalness esteem showed up at 0.144 i.e., p > 0.05, here the elective speculation is dismissed and result can be deciphered as the danger of speculator isn't impacted by the components like sex, insight, sort of financial specialist and returns anticipated.
  • 6. INTERNATIONAL JOURNAL OF RESEARCH PUBLICATION AND REVIEWS VOL (2) ISSUE (1) (2021) PAGE 42-47 47 COEFFICIETS Modal Unstandardized coefficients Standaedized coofficients T Sig. B Std. Error Beta Constant 1.491 .675 2.208 .030. Experience in capital market .229 .165 .138 1.387 .169 Gender of investor .576 .300 .194 1.919 .058 Expected return of investor .117 .096 .122 1.218 .226 Type of investor -.190 .274 .-691 -691 .491 Dependent Variable: Risk of Investor The above coefficients table establishes the relation between dependent variable and independent variable and it estimates the risk taking capacity of the investor based on investments made in capital markets. The following is the formula identified to assess the risk factor of investor using econometric technique called linear regression. Risk = 1.491 + 0.229(experience in capita market) + 0.576(Gender code of investor) + 0.117(expected return of investor) – 0.19(Type of investor code) The above is formula adopted for there is a positive correlation existed between the variable considered for study. 9. Conclusion Capital market investments are effective financial instruments involved in high risk based on market conditions, the assessment of risk is very important for investor to know the position of investment in market, in this the financial econometric and mathematical analysis is very important for investor to predict the returns of the investor. It is found from the following study by using tools of the financial econometrics that the investor risk not influenced by the gender, experience and expected returns of an investors, and this analysis helps the investor to monitor his investment and suggests suitable diversification of investment according to market fluctuations. The present study recommends the investor to do technical analysis using financial econometric techniques before investing their savings in capital markets. REFERENCES TEXTS Financial Risk Modeling and Portfolio Optimization with R (statistics in Practice) by Bernhard Pfaff IIM Ahmadabad Business books: day to day Economics The Econometrics of Financial Markets (2007) by A. Craigmackinlay REPORTS SEBI Annual Reports Planning commission report on Financial Markets in India. WEBSITES www.rbi.gov.in www.sidbi.gov.in www.google.com www.forex.com