International Journal of Scientific Research and Modern Education (IJSRME) ISSN (Online): ( Volume I, Issue I,

Similar documents
Risk & return analysis of nifty stock in Indian capital market

A STUDY ON BETA VALUE OF BANKING SECTOR STOCKS IN NSE NIFTY

Performance Evaluation of Selected Equity Mutual Fund Schemes

Keywords: Performance Measures, Equity Linked Savings Scheme, Risk Adjusted Returns.

Selection of stock: A Practical study on Nationalised Banks

Volume-3, Issue-6, November-2016 ISSN No:

ANALYSIS OF RISK ADJUSTED MEASURES OF SELECTED LARGE-CAP EQUITY MUTUAL FUNDS IN INDIA

International Journal of Innovative Research in Management Studies (IJIRMS) ISSN (Online): Volume 1 Issue 4 May 2016

RISK AND RETURN ANALYSIS OF BANKING INDUSTRY IN CAPITAL MARKETS

Volume : 1 Issue : 12 September 2012 ISSN X

Statistically Speaking

Risk and Return Analysis of Selected Stock Listed on Nifty Financial Services Index

Shabd Braham E ISSN

Performance Evaluation of Selected Mutual Funds

CHAPTER 5 FINDINGS, CONCLUSION AND RECOMMENDATION

RISK AND RETURN ANALYSIS OF EQUITY SHARES WITH SPECIAL REFERENCE TO SELECT MUTUAL FUND COMPANIES (USING CAPITAL ASSET PRICING MODEL)

PERFORMANCE EVALUATION AND CUSTOMERS PERCEPTION TOWARDS SERVICES OF PUBLIC AND PRIVATE SECTOR BANKS IN VIRUDHUNAGAR DISTRICT

Analysis of Risk & Return of Indian Industrial Sectors

Performance Evaluation of Banking Sector Fund in India

Financial Performance Analysis of Selected Private Sector Banks in India

Do Indian Mutual funds with high risk adjusted returns show more stability during an Economic downturn?

Evaluating the Impact of Value Based Measures on Shareholder s Value Creation in Indian Banks

International Journal of Academic Research ISSN: ; Vol.3, Issue-5(2), May, 2016 Impact Factor: 3.656;

A Study on Performance Evaluation of Selected Equity Mutual Funds in India

RISK-RETURN RELATIONSHIP ON EQUITY SHARES IN INDIA

Risk & return analysis of performance of mutual fund schemes in India

CONSTRUCTION OF OPTIMAL PORTFOLIO USING SHARPE S SINGLE INDEX MODEL - A STUDY WITH REFERENCE TO BANKING AND AUTOMOBILE SECTORS

Performance Analysis of Top Performing Sectors Stocks in India

ANALYSIS ON RISK RETURN TRADE OFF OF EQUITY BASED MUTUAL FUNDS

Impact of Demonetisation on Share Price of Selected Private Sector Banks and Public Sectors Banks Listed in NSE

developing the vital sectors of the Banking sector is the most prominent sector of the financial system in India.

THE SINGLE INDEX MODEL & THE CONSTRUCTION OF OPTIMAL PORTFOLIO: A CASE OF BANKS LISTED ON NSE INDIA

A Comparative Analysis of Mutual Fund Schemes

A Study on Performance of Mutual Funds

EFFICIENCY EVALUATION OF BANKING SECTOR IN INDIA BASED ON DATA ENVELOPMENT ANALYSIS

Applicability of Capital Asset Pricing Model in the Indian Stock Market

An Analysis of Earnings Quality among Nationalised Commercial Banks

CHAPTER - IV RISK RETURN ANALYSIS

Introduction: Parameter1: Banks Network

A study on risk and return in building optimal portfolio using Markowitz model and its relevance in current scenario

A COMPARATIVE ANALYSIS OF PUBLIC AND PRIVATE SECTOR MUTUAL FUNDS IN INDIA

[ICESTM-2018] ISSN Impact Factor

A COMPARATIVE STUDY OF THE PROFITABILITY PERFORMANCE IN THE BANKING SECTOR: EVIDENCE FROM INDIAN PRIVATE SECTOR BANK

CHAPTER III RISK MANAGEMENT

CHAPTER 5 DATA ANALYSIS & INTERPRETATION

Performance Analysis of the Index Mutual Fund

ALTMAN MODEL AND FINANCIAL SOUNDNESS OF INDIAN BANKS

Financial Performance of Kotak Mahindra Bank

Focusing on hedge fund volatility

INTERNATIONAL JOURNAL OF MANAGEMENT RESEARCH AND REVIEW

CHAPTER 8: INDEX MODELS

A STUDY ON PERFORMANCE EVALUATION OF MUTUAL FUND WITH REFERENCE TO HDFC MUTUAL FUND

EMPIRICAL STUDY OF CAMEL MODEL AND BALANCE SCORE BOARD WITH SPECIAL REFERENCE TO SBI

A Study on Determinants of Dividend Behaviour of Selected Banking Companies in India

Performance Evaluation of Mutual Fund Industry (A Study with Special Reference to UTI and Reliance Mutual Fund)

A COMPARATIVE ANALYSIS OF HDFC EQUITY FUND AND SBI MAGNUM EQUITY FUND FOR THE PERIOD OF 2010 TO G. RAVI KUMAR Dr V.

Stock Price Sensitivity

Archana Khetan 05/09/ MAFA (CA Final) - Portfolio Management

Pricing of Stock Options using Black-Scholes, Black s and Binomial Option Pricing Models. Felcy R Coelho 1 and Y V Reddy 2

STOCK PRICE BEHAVIOR AND OPERATIONAL RISK MANAGEMENT OF BANKS IN INDIA

The Determinants of Capital Structure: Analysis of Non Financial Firms Listed in Karachi Stock Exchange in Pakistan

International Journal of Management (IJM), ISSN (Print), ISSN (Online), Volume 5, Issue 3, March (2014), pp.

Performance of Non-Performing Assets in India Concept, trend and Impact ( )

A Comparative Analysis on Various Mutual Fund Schemes of HDFC And SBI As An Investment Option For Retail Investors In India

Available online at ScienceDirect. Procedia Economics and Finance 11 ( 2014 )

A COMPARATIVE STUDY ON FINANCIAL HEALTH OF ICICI BANK AND AXIS BANK

STRATEGY OVERVIEW. Long/Short Equity. Related Funds: 361 Domestic Long/Short Equity Fund (ADMZX) 361 Global Long/Short Equity Fund (AGAZX)

Anshika 1. Abstract. 1. Introduction

Risk Return Relationship of Selected Scrips in the Bombay Stock Exchange

Diversification. Chris Gan; For educational use only

Tiruchirappalli. (BIT campus), Tiruchirappalli. Abstract

Applying Index Investing Strategies: Optimising Risk-adjusted Returns

PERFORMANCE EVALUATION OF OPEN ENDED SCHEMES OF MUTUAL FUNDS

CHAPTER - IV INVESTMENT PREFERENCE AND DECISION INTRODUCTION

Equity Linked Saving Schemes (ELSS): A Rewarding Investment Option Under Section 80C for a Common Man

Measuring and managing market risk June 2003

RETURN ON CAPITAL EMPLOYED OF BANKING COMPANIES INCLUDED IN NIFTY: A STUDY

International Journal of Advancements in Research & Technology, Volume 2, Issue 9, September ISSN

EVALUATING THE PERFORMANCE OF COMMERCIAL BANKS IN INDIA. D. K. Malhotra 1 Philadelphia University, USA

Int.J.Curr.Res.Aca.Rev.2017; 5(3): 35-42

COMPARATIVE STUDY OF SELECTED LARGE CAP EQUITY MUTUAL FUNDS

CHAPTER 9: THE CAPITAL ASSET PRICING MODEL

Financial Performance Drives Market Performance-An Evidence from Indian Industries

Financial Performance Analysis of Selected Banks using CAMEL Approach

Performance Evaluation of Gilt Mutual Fund Schemes in India

INTRODUCTION. The banking sector plays an important role in efficient functioning of the economy of the

TESTING LENDING EFFICIENCY OF INDIAN BANKS THROUGH DEA

TITLE: Financial Performance of Indian New Private and Public sector banks. Authors:

PERFORMANCE EVALUATION OF SELECTED BANKS USING ECONOMIC VALUE ADDED ABSTRACT

Chapter - VI COMPARATIVE STUDY OF SELECTED MUTUAL FUNDS

NIFTY Multi-Factor Indices. Multi-factor index strategies provide diversified factor-exposure with varied risk-return profile

Analysis of the Holiday Effect

CHAPTER 8: INDEX MODELS

Performance of Credit Risk Management in Indian Commercial Banks

Journal of Advance Management Research, ISSN:

Analysis INTRODUCTION OBJECTIVES

CHAPTER 5 ANALYSIS OF RESULTS: PORTFOLIO PERFORMANCE

Arbor Risk Attributor

SUMMARY FINANCIAL PERFORMANCE OF SCHEDULED COMMMERCIAL BANKS IN INDIA: AN ANALYSIS

A STUDY ON IMPACT OF BANKNIFTY DERIVATIVES TRADING ON SPOT MARKET VOLATILITY IN INDIA

Transcription:

A STUDY ON COMPARATIVE ANALYSIS OF RISK AND RETURN WITH REFERENCE TO STOCKS OF CNX BANK NIFTY Shaini Naveen* & T. Mallikarjunappa** * Research Scholar, Department of Business Administration, Mangalore University, Mangalagangothri, Karnataka ** Professor, Department of Business Administration, Mangalore University, Mangalagangothri, Karnataka Abstract: India is one of the emerging economies, which has witnessed significant developments in the stock markets during the liberalization policy initiated by the government. However, investing in banking shares include high risks which can be guided but not controlled. Most of these risks affect the market or the economy and require investors to adjust portfolios or ride out the storm. This paper analyzes the risk and return in banking sector taking Nifty Bank Index as the benchmark. The study compares the performance of the 12 listed banks in the NSE. Indian banking industry, the backbone of the country s economy has always played a positive key role in prevention the economic disaster from reaching horrible volume in the country. Risk is a concept that denotes a potential negative impact to an asset or some characteristic of value that may arise from some present process or future event. It has achieved enormous appreciation for its strength, particularly in the wake of some of the worldwide economic disasters. Banking sector funds have proved to be more volatile than the pure diversified equity funds which make some of them a high risk proposition. The study evaluates the performance of banking stocks mainly to identify the required rate of return and risk of a particular stock based upon different risk elements prevailing in the market and other economic factors. Index Terms: Risk, Return, Benchmark, Nifty & Performance Introduction: Indian banking industry, the backbone of the country s economy, has always played a positive key role in prevention the economic disaster from reaching horrible volume in the country. Risk is a concept that denotes a potential negative impact to an asset or some characteristic of value that may arise from some present process or future event. It has achieved enormous appreciation for its strength, particularly in the wake of the latest worldwide economic disasters, which pressed its worldwide counterparts to the edge of fall down. The Equity market in India is extremely volatile. Equity Markets across the world are volatile but India has a higher level of volatility. Stock market risk is the tendency of stock prices to decrease due to the change in value of the market risk factors. Value of units or shares is directly related to the market value of those investments held by the stock market. Though banking and financial services sector funds have accelerated on generating superior risk adjusted returns until now, they suffer from the risk of portfolio concentration as a single stock accounts for equity portfolio in some gear. The market value of those investments will go up and down depending on the financial performance of the issuers and general economic, political, tax and market conditions. Standard market risk factors are stock prices, interest rates, foreign exchange rates, and commodity prices Banks play an important role in supporting economic growth and have proved to be more volatile than the pure diversified equity funds which make some of them a high risk proposition. Equity investment includes high risk at the same time it earns higher return unusually high returns may not be sustainable. Since the banking industry is 737

under the control of Reserve Bank of India (RBI), it is adversely used as the tool to control the external problems like inflation, interest rate, and money supply. Because of this, there is a high instability in the share price that reduces the real investor s interest. This study is structured to analyse the performance of the selected shares in the banking industry to reveal the risk and return in a particular period of time and the investor s perception towards the Banking industry. Bank Nifty represents the 12 most liquid and large capitalized stocks from the banking sector which trade on the National Stock Exchange (NSE). It provides investors and market intermediaries a benchmark that captures the capital market performance of Indian banking sector. The 12 banks which are considered for this study are: Federal Bank IndusInd Bank Yes Bank Axis Bank Bank of Baroda Bank of India Canara Bank HDFC ICICI Kotak Mahindra Bank Punjab National Bank State Bank of India Need of the Study: The study was conducted to analyze the nifty movement behavior towards the banking stocks. It also evaluates the performance of banking share stock mainly the identification of required rate of return and risk of a particular stock based upon different risk elements prevailing in the market and other economic factors. This study is structured to analyse the performance of the selected shares in the banking industry to reveal the risk and return in a particular period of time. Objectives of the Study: To analyze the risk and return of the 12 banks listed in Bank Nifty. To compare the performance of banks with their benchmark index. To study volatility of banks in comparison with the market. Literature Review: Raghavan. R. S (2000) commented on the risk perceptions and the risk measure parameters. He opined that risk measures are related to the return measurements. While risks can only be contained and cannot be eliminated altogether, there is no doubt that some risks have to be taken to get adequate returns. Returns can be increased or made quicker by taking more financial and operating risks. But the environmental risks typically do not increase returns but serve as constraints on return and risk decisions. He concluded that the process of retaining the levels of risks within the desirable levels must be practiced in the daily operations. Vijay Soodd (2000) revealed the risks faced by banks and financial institutions and the degree of risk faced by them. According to him, risk management is gathering momentum at a time when there is increasing pressure on banks and financial institutions to better manage their assets and improve their balance sheet. He opined that the greater the volatility of expected returns, the higher is the risk. The essence of risk management is to reduce the volatility. 738

Scope of the Study: The sample for the study is 12 banks listed under CNX Bank Nifty. The study is limited to only these selected banks and covers the year wise performance of the stocks for the study for the period of 5 years i.e from 2011 to 2015. Research Methodology: The risk and return relationship is a fundamental concept in not only financial analysis, but in every aspect of life. If a decision has to lead to benefit maximization, it is necessary that individuals/institutions consider the combined influence on expected (future) return or benefit as well as on risk/cost. The requirement that expected return/benefit is commensurate with risk/ cost is known as the risk return trade-off in finance. A company which has a higher market price is not necessarily the best stock to buy. It may have no growth prospects or it may be overpriced. Similarly, a company that performs well during any one year may not be the best to buy. On the contrary, a company which has been badly for some time might turn the corner and it may be the best to buy, as its shares may be underpriced and it has good prospects of growth, hence an analysis of risk or return guides an investor in proper profitable investment. The risk and return trade off says that the potential return rises with an increase in risk. It is important for an investor to decide on a balance between the desire for the lowest possible risk and highest possible return. Any rational investor, before investing his or her investible wealth in the stock, analyses the risk associated with the particular stock. The actual return he receives from a stock may vary from his expected return and the risk is expressed in terms of variability of return. Expression for calculating the rate of return earned on any asset over period 't' is, kt = Pt - Pt-1 Pt-1 kt = expected rate of return during period 't' Pt = price of asset at time t Pt-1 = price of asset at time t-1 Risk Measurement: The risk of an asset is measured quantitatively using statistics- the standard deviation and also beta is analysed to measure the variability of returns. The most common indicator of risk is standard deviation, σ, which measures the dispersion around the expected value of returns. σk = { (k-k ) 2 n} Beta and alpha are calculated using simple linear regression statistics which is used to study the volatility of stocks. Correlation analysis is used to find the relationship between stocks of individual banks with the index. The following formula is used. Where x= returns of individual stocks y= returns of the index 739

Sample Design: The present study based on secondary data collected from National Stock Exchange. It is aimed at finding out the randomness in successive share price changes. All 12 Banking Companies listed on the Index, CNX Bank Nifty are taken for the study. Limitations of the Study: The area of study is limited to the stocks of 12 banks from Bank Nifty Index. The study includes data of last five years only. Analysis: The degree to which different portfolios are affected by these systematic risks as compared to the effect on the market as a whole, is different and is measured by Beta. To put it differently, the systematic risks of various securities differ due to their relationships with the market. The Beta factor describes the movement in a stock's or a portfolio's return in relation to that of the market returns. For all practical purposes, the market returns are measured by the returns on the index (Bank Nifty), since the index is a good reflector of the market. In order to find out the movement in the stock return in relation to the Bank Nifty Index, mean returns, standard deviation and Beta's of 12 companies are calculated and analyzed along with the correlated coefficients. Table 1 Company Beta (β) Mean Std. Deviation Correlation Federal Bank 1.104 14.91 44.28231 0.955 IndusInd Bank 1.104 36.11 45.02791 0.988 Yes Bank 1.465 29.968 52.63951 0.985 Axis Bank 1.298 20.782 47.76212 0.995 Canara Bank 1.146-8.55 46.32667 0.970 ICICI Bank 1.11 10.91 43.68841 0.983 Punjab National Bank 1.02-5.396 45.19174 0.888 State Bank Of India 1.198 4.975 45.80078 0.986 Bank of India 0.866-15.702 42.6457 0.921 HDFC 0.635 20.426 35.07248 0.946 Bank of Baroda 0.937 3.414 41.16752 0.944 Kotak Mahindra 0.725 28.428 36.83966 0.983 The above table shows that the bank's individual returns are highly correlated with the Nifty index. Among all, Yes bank is highly correlated with the coefficient value of 0.995 and also highly risky due to high standard deviation. Compared to all, Yes bank is highly volatile but has earned handsome returns in the market. Table 2: Total Returns for 5 years of companies whose Beta Value is above 1.00 S.No Company Beta (β) Returns 1 Federal Bank 1.104 14.91 2 IndusInd Bank 1.104 36.11 3 Yes Bank 1.465 29.968 4 Axis Bank 1.298 20.782 5 Canara Bank 1.146-8.55 6 ICICI Bank 1.11 10.91 7 Punjab National Bank 1.02-5.396 8 State Bank Of India 1.198 4.975 740

Figure 1: Beta Values of the Stocks Figure 2: Returns of the Stocks Above table and charts represent the beta values of the individual banks and the average returns as against the Bank Nifty Index. All the banks have positive beta values showing the movement along the market. Axis bank and Yes bank are highly volatile compared to the market.some banks have been able to achieve good or moderate returns whereas some others have earned negative return as well. This is mainly due to the individual alpha and the sensitivity of the stocks to the market. Highest return is earned by Indusind Bank whereas Bank of India has earned the lowest return of all. Findings: Beta describes the relationship between the stock returns and the index returns. From the Betas of 12 banks, it is found that some stocks move in the opposite direction to the market, some stocks move along with the market, some stocks are less volatile compared to the market and some stocks are more volatile compared to the market. From the study following major findings are made: All the banks have a positive beta values according to which the stock values move as per the movement of the market index. 741

The stocks of Bank of India, HDFC bank, Kotak Mahindra bank are less volatile in nature. This is mainly because their beta values are comparatively lesser than the markets beta value. The stocks of Federal bank, IndusInd bank, Bank of Baroda, Canara bank, ICICI bank, Punjab National bank, State Bank of India are moderately volatile in nature. This is because their values are comparatively closer to the markets beta value. The stocks of Yes bank and Axis bank have high volatility. This is because of the fact that their beta values are more than the markets beta value. It is found that all the stocks have earned positive returns except Canara bank, Bank of India and Punjab National Bank, which has negative α as well. The moderate volatile stocks have earned high returns except Canara bank and Punjab National bank which has earned negative returns. This is because of the negative alpha value. Even though Federal bank and Bank of Baroda has a negative alpha value it has earned good returns. The stocks with high volatility have earned higher returns even though the alpha value is positive. From the findings of the study, the Investor is suggested the following: If the Investor wants to invest in the stocks with lower risks and positive returns, he is suggested to invest in those securities whose Beta is less than +1.00. Stocks having a Beta of less than +1.00 would be considered as more conservative investments. From the study it is suggested that investment in Federal bank, IndusInd bank, Yes bank, Axis bank, Bank of India, HDFC bank, ICICI bank, Kotak Mahindra bank, State Bank of India would be feasible because they have a positive returns compared to others who have negative returns. Conclusion: As a whole the stock market is sometimes highly volatile. It depends upon the investors how he can make use of this in order to get the money which he has put in the market. An investor should be in a position to analyze the various investment options available to him and thus minimize the risk and maximize the returns. Beta is useful for comparing the relative systematic risk of different stocks & in practice; it is used by investors to judge a stock s riskiness. The investor should keep the risk associated with the return proportional as risk is directly correlated with return. It is generally believed that higher the risk, the greater the reward but seeking excessive risk does not ensure excessive return. At a given level of return, each security has a different degree of risk. Based on the calculations the investor can come to a conclusion that investors should analyze the market on a continuous basis which will help them to pick the right companies to invest their funds. References 1. Avadhani. V. A., (2009), Financial services in India first edition, Himalaya Publishing House- Mumbai 2. Bertholon, H., A. Monfort, and F. Pegoraro (2003). Pricing and inference with mixtures of conditionally normal processes. Mimeo CREST. Black, F. and M. Scholes (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 637 655. 742

3. Boss, M. (2002). A macroeconomic credit risk model for stress testing the Austrian credit portfolio. Financial Stability Report of the Austrian National Bank 4, 64 82. 4. Frey and A. J. McNeil (2005). Quantitative risk management: concepts, techniques and tools. Princeton: Princeton University Press. 5. Santa - Clara, and R. Valkanov (2005). There is a risk-return trade-off after all. Journal of Financial Economics 76, 509 548. 6. Gourieroux, C. and A. Monfort (2007). Econometric specification of stochastic discount factor models. Journal of Econometrics 136, 509 530. 7. Hayden, E., D. Porath, and N. von Westernhagen (2007). Does diversification improve the performance of German banks? Evidence from individual bank loan portfolios. Journal of Financial Services Research 32, 123 140. 8. Jim enez, G., V. Salas, and J. Saurina (2006). Determinants of collateral. Journal of Financial Economics 81, 255 281. 9. Jim enez, G. and J. Saurina (2004). Collateral, type of lender and relationship banking as determinants of credit risk. Journal of Banking and Finance 28, 2191 2212. 10. Mencia, and E. Sentana (2007). Parametric properties of semi-nonparametric distributions, with applications to option valuation. Forthcoming Journal of Business and Economic Statistics. 11. Markowitz, H. M. (1952). Portfolio selection. Journal of Finance 7, 77 91. 12. Mart ın, V. Salas, and J. Saurina (2007). A test of the law of one price in retail banking. Journal of Money, Credit and Banking 39, 2021 2040. 743