Volume 7 • Number 5 • May 2013

 
Size and Returns : A Study of the Indian Stock Market
Abstract:Indian Journal of Finance, Volume 7, Number 5, pp. 5 – 13
The Size effect is one of the prominent anomalies which have been observed in the stock markets around the world. The present study attempts to find out if the portfolio of small stocks yields higher returns vis-a-vis the portfolio of large stocks and whether the size effect is present in the Indian stock market or not. The sample consists of the monthly returns of the stocks included in the S&P CNX 500 index from April 1, 2001 to March 31, 2010. Equal weighted portfolios of thirty smallest and largest stocks were constructed for each year for the entire period of the study based on the criteria of total assets and market capitalization. Using correlation analysis, CNX Nifty Junior was finalized as the market proxy, and the market model was applied by using the variables of excess returns on the portfolio of the stocks and the returns on the market proxy. The results indicate that the returns on the portfolio of small stocks are not significantly different from the returns on the portfolio of large stocks. Therefore, based on the results, the study concludes that the size effect is not present in the Indian stock market.

Keywords: size effect, market anomalies, small firm effect, market proxy, capital asset pricing model
JEL Classification: G02, G14

References
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11 Fama, E., & French, K. (1996). "Multifactor Explanations of Asset Pricing Anomalies." Journal of Finance, 51 (1), pp.55-84.
12 Fan, X., & Liu., M. (2005). “Understanding Size and Book-to-Market Ratio: An Empirical Exploration of Berk's Critique.” Journal of Financial Research, 28 (4), pp. 503-518.
13 Holle, F. V., Annaert, J., Crombez, J., & Spinel, B. (2002). “Value and Size Effects: Now You See It, Now You Don't.” Retrieved from SSRN, http://papers.ssrn.com/sol3/papers.cfm?abstract_id =302653
14 Hong, H., Lim, T., & Stein, J. (2000). “Bad News Travels Slowly: Size, Analysts, and the Profitability of Momentum Strategies.” Journal of Finance, 55 (1), pp. 265-295.
15 Kaur, M. (2011). “Seasonal Anomalies in Stock Returns: Evidence from India.” Indian Journal of Finance, 5 (5), pp. 43-48.
16 Kumar, U. (2012). “Is there Any Diwali Effect?” Indian Journal of Finance, 6 (3), pp. pp.43-53.
17 Lintner, J. (1965). “The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets.” Review of Economics & Statistics, 47 (1) pp.13-37.
18 Marisetty, V. B., & Vedpuriswar, A.V. (2002). “Small Firm Effect in Indian Stock Market: An Empirical Study.” The ICFAI Journal of Applied Finance, 8 (4), pp.51-65.
19 Markowitz, H. (1952). “Portfolio Selection.” Journal of Finance, 7 (1), pp. 77-91.
20 Markowitz, H. (1959). “Portfolio Selection: Efficient Diversification of Investments.” John Wiley & Sons, New York, pp.116-118.
21 Mehta, K., & Chander, R. (2010). “ Examination of January, December, and November Effects on the Indian Stock Market.” Indian Journal of Finance, 4 (9), pp. 25-33.
22 Mohanty, P. (2001). "Efficiency of the Market for Small Stocks." NSE Research Paper Series, Mumbai, Retrieved from http://www.nseindia.com/research/content/research_initiative.htm
23 Rathinasany, R.S., & Mantripragada, K.G. (1996). "The January Size Effect Revisited: Is it a Case of Risk Mismeasurement?" Journal of Financial and Strategic Decisions, 9 (3), pp.9-14.
24 Reinganum, M. R. (1981). “Misspecifications of Capital Market Pricing: Empirical Anomalies Based on Earnings Yields and Market Values.” Journal of Financial Economics, 9 (2), pp.19-46.
25 Roll, R. (1981). “A Possible Explanation of the Small Firm Effect.” Journal of Finance, 36 (4), pp. 879-888.
26 Sehgal, S. (2002). “Investor Behavior in Indian Capital Market.” Review of Commerce Studies, 20-21 (1-2), pp. 123-152.
27 Sehgal, S. (2003). "Common Factors in Stock Returns: The Indian Evidence." The ICFAI Journal of Applied Finance, 9 (1), pp.5-16.
28 Sehgal, S., & Tripathi, V. (2005). “Size Effect in Indian Stock Market: Some Empirical Evidence.” Journal of Business Perspective, 9 (4), pp.27-42.
29 Sehgal, S., & Tripathi, V. (2006). “Sources of Size effect: Evidence from Indian Stock Market.” The ICFAI Journal of Applied Finance, 12 (3), pp.18-28.
30 Sehgal, S., Subramaniam, S., & Morandiere, L. (2012). “A Search for Rational Sources of Stock Return Anomalies: Evidence from India.” International Journal of Economics and Finance, 4 (4), pp.121-134.
31 Sehgal S., & Muneesh, K. (2002). “The Relationship between Company Size, Relative Distress and Returns in Indian Stock Market.” The ICFAI Journal of Finance, 8 (2), pp. 41-50.
32 Sharpe, W. F. (1964). “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” The Journal of Finance, 19 (3), pp. 425-442.
33 Su, R., Dutta, A., Xu, M., & Ma, J. (2011). “Financial Anomalies: Evidence from Chinese A-Shares Markets.” International Journal of Economics and Finance, 3 (2), pp. 76-88.
34 Timmermann, A., & Quiros, P.G. (2000). "Firm Size and Cyclical Variations in Stock Returns." The Journal of Finance, 55 (3), pp.1229-1262.
35 Xu, J. (2002). "The Size Effect of the Stock Returns in the Chinese Market." Working Paper, Peking University, China, pp.1-16.
36 Zadeh, A.A. (2010). “The Return of the Size Anomaly: Evidence from the German Stock Market.” European Financial Management Journal, 17 (1), pp. 145-182.
Saroj S. Prasad
Assistant Professor
Prestige Institute of Management & Research
Indore, Madhya Pradesh.
chetnasinha.prasad@gmail.com
Ashutosh Verma
Associate Professor
Indian Institute of Forest Management (IIFM)
Bhopal - 462003, Madhya Pradesh.
ashutoshverma512@gmail.com
 
 

The Global Financial Crisis and Performance of the Indian Corporate Sector: A Firm Level Analysis

Abstract: Indian Journal of Finance, Volume 7, Number 5, pp. 14 - 23
The U.S. financial crisis has made its upshots on both developed and developing economies of the world. However, India did not face a full - blown recession, but only experienced an economic deceleration, which is normally considered as a temporary phenomenon. Analysis of the financial parameters of corporate India revealed intersectoral as well as intrasectoral differences among them in respect of their financial fundamentals during the period of crisis, which could be attributed to many factors. The Banking sector found an opportunity for growth during the period of crisis, the credit of which goes to wise and judicious policies of the central bank of the country. The Automobile and construction sector were hit most adversely by the crisis due to their high capital intensive nature and stringent measures taken by the lending institutions by cutting back of credit to individuals for adding luxuries to their personal lives. Our IT industry is more exposed to the U.S. and European markets; hence, the financial crisis in these advanced economies affected the export earnings of this sector. However, sharp depreciation of the Rupee helped them to compensate in aggregate what they lost due to the crisis in the global market. Domestic market orientation and not being very capital-intensive are among the factors that insulated the FMCG sector from the downturn. The degree of shock exerted by the global financial turmoil on the performance of the Indian corporate sector was also not the same. While some companies under a particular sector were severely hit by the crisis, fundamentally strong companies could unshackle themselves from it.
Keywords: global financial crisis, economic growth, financial performance, t test
JEL Classification: G01, E4, G3
References
1 Anderson, D.R., Sweeney, D.J., & Williams, T.A. (2002). “Statistics for Business and Economics.” Thomson Asia Pvt. Ltd., Singapore, pp. 200-220.
2 Bodie, Z., Kane, A., Marcus, A.J., & Mohanty, P. (2006). “Investments.” Tata McGraw Hill Publishing Co. Ltd., New Delhi, p. 230.
3 Chakrabarti, R. (2001). “FII Flows to India: Nature and Causes.” Money and Finance, 2 (7), Retrieved from http://ssrn.com/abstract=649852
4 Fridson, M.S., & Alvarez, F. (2002). “Financial Statement Analysis: A Practitioner's Guide.” John Wiley and Sons Inc., Canada, pp. 125-140.
5 Harikumar,S., Saji, T.G., & Kasim, C. M. (2010a). “Financial Market Investments during the Period of Global Recession.” In: Arunachalam, P. (Ed). “Impact of Global Financial Crisis on Indian Economy.” 1st Edn. Global Research Publications, New Delhi, pp. 588-592.
6 Harikumar, S., Saji T.G., & Kasim C.M. (2010b). “Foreign Institutional Investments and Stock Price Behaviour in Emerging Markets: Evidence from India.” In: Cherunilam, F.(ed), “International Business.” 1st Edn. Himalaya Publishing House, New Delhi, pp.107-116.
7 Khan, M.Y., & Jain, P.K. (2008). “Basic Financial Management.” Tata McGraw Hill Publishers Ltd., 2nd Ed., New Delhi, pp. 115-150.
8 Kumar, K.G. (2009, February 9). “Investment Climate: Perception versus Realty, Business Line, Retrieved from http://www.thehindubusinessline.com/
9 Mohan, T.T. R. (2009). “The Impact of the Crisis on the Indian Economy.” Economic & Political Weekly, 44 (13), March 28, 2009, pp. 107-114.
10 Nachane, D. M. (2009). “The Fate of India Unincorporated.” Economic& Political Weekly, 44 (13), March 28, 2009, pp. 115-122.
11 Rakesh, M. (2006). “Coping With Liquidity Management in India: A Practitioner's View.” Reserve Bank of India Bulletin, April, pp. 1-18..
12 Rakesh, M. (2008). “Global Financial Crisis and Key Risks: Impact on India and Asia.” IMF-FSF High-Level Meeting on the Recent Financial Turmoil and Policy Responses at Washington D.C., October.
13 Reddy, Y.V. (2009). “India's Financial Sector in Current Times.” Economic & Political Weekly, 44 (45), November 7, 2009, pp. 13-15.
14 Singh, F.B., & Yadav, A.P. (2010). “Global Financial Crisis and India's Economic Growth: A Deep Insight.” Indian Journal of Finance, 4 (1), pp. 40-45.
15 Subbarao, D. (2009). “Impact of the Global Financial Crisis on India: Collateral Damage and Response.” Speech delivered at the Symposium on "The Global Economic Crisis and Challenges for the Asian Economy in a Changing World" organized by the Institute for International Monetary Affairs, Tokyo on February 18, 2009.
16 Taylor, J.B. (2009). “The Financial Crisis and the Policy Responses: An Empirical Analysis of What Went Wrong.” NBER Working Paper, January, pp.1-19.

T. G. Saji
Assistant Professor
Post Graduate Department of Commerce and Management Studies
Sri C. Acutha Menon Government College, Thrissur
Kerala - 680014.
sajthazhungal@gmail.com


 

S. Harikumar
Professor, Department of Applied Economics
Cochin University of Science and Technology, Kerala.
shari@cusat.ac.in

Mohammed Kasim C.
Research Scholar
Department of Applied Economics, Cochin University of Science and Technology
Kerala.
turn2kas@gmail.com

 
 
Higher Grades, Better Performance: Debunking Myths Associated with IPOs
Abstract : Indian Journal of Finance, Volume 7, Number 5, pp. 24 - 31.
May 1, 2007 marked the day when a distinctive mandatory system prevalent nowhere in the world was introduced by India's market regulator SEBI - mandatory initial public offering (IPO) grading. It was for the first time in the history of securities market regulator that a company planning to get listed needed to get a grading of its issue. The rationale behind the mandatory grading was that the retail investors who are usually at a disadvantage of having inadequate information about the issue would get an indication about the fundamentals of the company. The belief that "Higher Grades lead to better IPO performance both in the pre and post listing period" has been proved to be a myth over and over again. Lately, there has been a debate over the significance and relevance of IPO Grading. Out of the total 56 public issues that were launched and listed on the NSE during the one year period from January - December 2010, 42 issues traded at a loss after one year of listing as compared to their issue price. This paper analyses the myths surrounding the IPO Grades and their performance.
Keywords: CRA ,IPO, IPO grades, retail investors, high grades, low grades
JEL Classification: G12, G24, G32
References
1 Ahmad, A., & Rana, U.S. (2012). “Forecasting Performance of Various Volatility Models on Intra-Day Equity Price in the Indian Stock Market.” Indian Journal of Finance, 6 (6), pp. 21- 29.
2 Deb, S. S., & Marisetty, V. B. (2008). 'Information Content of IPO Grading.' Retrieved from http://ssrn.com/abstract=1276243, DOI : http://dx.doi.org/10.2139/ssrn.1276243
3 Duraipandian, R., & Suresh, A.S. (2012). “IPOs Performance and its Relationship with QIB Subscriptions and Grade.” International Journal of Research in Commerce & Management, 3 (3), pp. 35 - 38.
4 Gupta L. C. (2007, June 14). 'How IPO Grading Can Help.' The Business Line, Retrieved from http://www.thehindubusinessline.com/
5 Haldea, P. (2007, April 14). 'My grade to IPO Grading: 0.' published in Article 58, Indian Express-Express Money, Retrieved from http://expressindia.indianexpress.com/
6 Hoque, A., & Krishnamurti, C. (2012). “Modeling Moneyness Volatility in Measuring Exchange Rate Volatility.” International Journal of Managerial Finance, 8 (4), pp. 365-380. DOI : 10.1108/17439131211261279
7 Krishnamurti, C. ,Thong, T. Y., & Vishwanath, S. R. (2009). “Does certification work in emerging markets? Evidence from the Indian IPO Market.” JCF Conference on Emerging Market Corporate Finance, August 24-25 2009, Beijing, China.
8 Krishnamurti, C., & Hoque, A. (2011). “Efficiency of European Emissions Markets: Lessons and Implications.” Energy Policy, 39 (10), pp. 6575-6582.
9 National Stock Exchange of India (NSE) (2012). Historical Index Data, Retrieved from http://www.nseindia.com/products/content/equities/indices/historical_index_data.htm
10 National Stock Exchange of India (NSE) (2012). Past Issue IPOs Retrieved from http://www.nseindia.com/products/content/equities/ipos/historical_ipo.htm
11 National Stock Exchange of India (NSE) (2012). Security wise Archives (Equities), Retrieved from http://www.nseindia.com/products/content/equities/equities/eq_security.htm
12 Poon, W. P.H., & Chan, K. C. (2008). 'The Effects of Credit Ratings on Stock Returns in China.' Chinese Economy, 41 (2), pp. 34 - 55.
13 Poudyal, S. (2008). 'Grading Initial Public Offerings (IPOs) in India's Capital Markets - A Globally Unique Concept.' IIMA Research and Publications, W.P. No.2008-12-08.
14 SEBI (2011). “ Frequently Asked Questions on IPO Grading.” Retrieved from http://www.sebi.gov.in/faq/ipograding.html
Shalini Trivedi
Assistant Professor (Grade III) and Area Chairperson
Department of Economics, Amity Business School, Amity University
Sector 125, Gautam Buddha Nagar, Noida, Uttar Pradesh.
drshalinidixit@gmail.com

Bhavarth Sheth
Relationship Manager
Emerging Corporate Group, IndusInd Bank Ltd.,
Surat - 395001, Gujarat.
bhavarth.sheth@gmail.com

 
 
Exploring Overreaction Hypothesis for Large Cap Stocks in the Indian Stock Market: An Empirical Evidence of Superior Returns in Nifty 50
Abstract:Indian Journal of Finance, Volume 7, Number 5, pp. 32 - 40
The stock market usually overreacts to various global, economic, industry or company-specific news. This overreaction leads to the generation of excess returns through momentum for a short period, and contrarian for a longer period. In this regard, most of the previous studies focused on creation of excess returns through momentum and contrarian strategies. The present study aims to explore the overreaction hypothesis with a special focus on large-cap stocks of Nifty 50 stocks from the Indian equity market. The present study also tries to confirm whether the behavioral justification of overreaction occurs due to the traders' activity in the short run, and in the long run, whether the reversal of momentum (De Bondt & Thaler, 1985,1987; Jagadeesh & Titman, 1993,2001) is true or not for the large cap stocks. At the same time, it tries to identify if such profits were created, then was it only signaling any evidence of presence of risk-return trade off, or was it a real case of superior returns? The study tries to find out the reversal point as results of Nifty 50 stock returns were showing momentum followed by contrarian. For this purpose, monthly return data of Nifty 50 stocks for the period from January 2004 to December 2010 had been collected. Analysis was done with the help of ANOVA and inferences were drawn.
Keywords: overreaction hypothesis, reversal point, contrarian strategy, momentum strategy, Nifty50
JEL Classification: G14
References
1 Bachelier, L. (1900). “Theory of Speculation.” In Cootner, P. (Ed.). “The Random Character of Stock Market Prices.” MIT Press, Cambridge, MA, 1964; Reprint, pp. 17-78.
2 Chang, R. P., McLeavey, D. W., & Rhee, S. G. (1995). “Short-term Abnormal Returns of the Contrarian Strategy in the Japanese Stock Market.” Journal of Business Finance and Accounting, 22 (7), pp. 1035-1048.
3 Chen, A. (2000). “Momentum Does Not Matter Consistently: The Evidence from Taiwan Stock Returns.” National Sun Yat-sen University, pp. 1-20.
4 Chen, Y., Fortnow, L., Nikolova, E., & Pennock, D. (2007). “Betting on Permutations.” Proceedings of the 8th ACM conference on Electronic Commerce, 8(1), pp. 326 - 335, ISBN 978-1-59593-653-0.
5 Chui, A.C.W., Titman, S., & Wei, K.C. J. (2000). “Momentum, Legal Systems, and Ownership Structure: An Analysis of Asian Stock Markets.” Working Paper, Hong Kong University of Science and Technology, pp. 1-17.
6 Conard, J., & Kaul, G. (1998). “An Anatomy of Trading Strategies.” Review of Financial Studies, 11 (3), pp. 489-519.
7 Conrad, J., & Kaul, G. (1993). “The Returns to Long Overreaction or Biases in Computed Returns.” Journal of Finance, 48 (1), pp. 39-63.
Data accessed on January 27, 2011 from www.nseindia.com
8 De Bondt, W., & Thaler, R. (1985). “Does the Stock Market Overact?” Journal of Finance, 40 (3), pp. 793-808.
9 De Bondt, W., & Thaler, R. (1987). “Further Evidence on Investor Overreaction and Stock Market Seasonality.” Journal of Finance, 42 (3), pp. 557-581.
10 Griffin, J., Ji, X., & Martin, S. (2005). “Global Momentum Strategies: A Portfolio Perspective.” Journal of Portfolio Management, 31 (2), pp. 23-39.
11 Hameed, A., & Kusnadi, Y. (2002). “Momentum Strategies: Evidence from Pacific Basin Stock Markets.” Journal of Financial Research, 45 (3), pp. 383-398.
12 Hameed, A., & Ting, S. (2000). “Trading Volume and Short-Horizon Contrarian Profits: Evidence from Malaysian Stock Market.” Pacific-Basin Finance Journal, 8 (1), pp. 67-84.
13 Hong, H., & Stein, J.C. (1999). “A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets.” Journal of Finance, 54 (6), pp. 2143-2184.
14 Jegadeesh, N., & Titman, S. (1993). “Return to Buy Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance, 48 (1), pp. 65-91.
15 Jegadeesh, N., & Titman, S. (2001). “Profitability of Momentum Strategies: An Evaluation of Alternative Explanations.” Journal of Finance, 56 (2), pp. 699-720.
16 Joshipura, M. (2009). “Does the Stock Market Overreact? Empirical Evidence of Contrarian Returns from Indian Markets.” Published at ISM national stock exchange, pp. 217-244.
17 Kang, J., Liu, M. H., & Ni, S. X. (2002). “Contrarian and Momentum Strategies in the China Stock Market: 1993-2000.” Pacific-Basin Finance Journal, 10 (3), pp. 243-265.
18 Kumar, U. (2012). “Is There any Diwali Effect?” Indian Journal of Finance, 6 (3), pp. 43-53.
Liu, W., Strong, N., & Xu, X. (1999). “The Profitability of Momentum Investing.” Journal of Business, Finance, and Accounting, 26 (10), pp. 1043-1089.
19 Rouwenhorst, K.G. (1998). “International Momentum Strategies.” Journal of Finance, 53 (1), pp. 267-284.
20 Simai, P. (2009). “Evaluating Momentum and Contrarian Strategies for Technology Stocks during Excessive Speculation.” Indian Journal of Finance, 3 (1), pp. 3-8.
21 Thaler, R. H. (1999). “The End of Behavioral Finance.” Financial Analysts Journal, 55 (6), pp. 12-17.
Abhishek Parikh
Assistant Professor, V. M. Patel Institute of Management
Ganpat Vidyanagar, Kherva
Mehsana - 382711, Gujarat.
abhishek.parikh@ganpatuniversity.ac.in
Mitali Baruah
Assistant Professor
V. M. Patel Institute of Management
Ganpat Vidyanagar, Kherva
Mehsana - 382711, Gujarat.
mitali.baruah@ganpatuniversity.ac.in
 
 
Analysis of the Financial Performance of Indian Commercial Banks: A Comparative Study
Abstract:Indian Journal of Finance, Volume 7, Number 5, pp. 41 - 49

Financial performance of a bank indicates the strength and weakness of that particular bank by properly establishing the association between the items of the balance sheet and profit & loss account. The present study is a comparative analysis of the financial performance of Indian commercial banks. The study considered a sample of 37 banks (22 public sector banks and 15 private sector banks) for the period from 2006-07 to 2010-11. CAMELS rating methodology was used in the study to measure the performance of the considered banks. The study found that the IDBI Bank was the best performing bank followed by Kotak Mahindra Bank and ICICI Bank. Dhanalaxmi Bank had the worst performance followed by J & K Bank and Karnataka Bank Ltd. The results of the 't' - test disclosed that there is a significant difference in the Capital Adequacy, Asset Quality and Earning Capacity of public and private sector banks in India, while there is no significant difference in the Management, Liquidity Position and Sensitivity to market risk of the two different banks groups. The study concluded that on an average, there is no statistically significant difference in the financial performance of the public and private sector banks in India, but still, there is a need for overall improvement in the public sector banks to make their position strong in the competitive market.

Keywords: financial performance, Indian commercial banks, capital adequacy, asset quality, liquidity, CAMELS methodology
JEL Classification: G21,P17
References
1 Atikogulari, M. (2009). “An Analysis of the Northern Cyprus Banking Sector in the Post-2001 Period through the CAMELS Approach.” International Research Journal of Finance and Economics, 32, pp. 212-229.
2 Barel, B. (2005). “Health Check up of Commercial Banks in the Framework of CAMEL: A Case Study of Joint Venture Banks in Nepal.” Journal of Nepalese Business Studies, 2 (1), pp. 41-55.
3 Bharathi, N. (2010). “Profitability Performance of New Private Sector Banks: An Empirical Study.” Indian Journal of Finance, 4 (3), pp.16-19.
4 Bhayani, S. (2006). “Performance of the New Indian Private Sector Banks: A Comparative Study.” Journal of Management Research, 5 (11), pp. 53-70.
5 Godlewski, C. (2003). “Bank's Default Modelisation: An Application to Bank from Emerging Market Economies.” Journal of Social Science Research Network, 4 (3), pp.150-155.
6 Hays, F., Lurgoi, S., & Gilbert, A. (2009). “Efficiency Ratios and Community Banks Performance.” Journal of Finance and Accountancy, 23, pp. 1-15.
7 Kosmidou, K. (2008). “The Determinants of Bank's Profits in Greek during the Period of EU Financial Integration.” Managerial Finance, 34 (3), pp. 146-159.
8 Kouser, R. and Saba, I. (2012). “Gauging the Financial Performance of Banking Sector using CAMEL Model: Comparison of Conventional Mixed and Pure Islamic Banks in Pakistan.”
9 International Research Journal of Finance and Economics, 1 (82), pp. 67-68.
Krishna, C. V. (2005). “Measuring Financial Distress of IDBI Using Altman Z Score Model.” The ICFAI Journal of Bank Management, 4 (3), pp.7-17.
10 Makkar, A., & Singh, S. (2012). “Evaluating the Financial Soundness of Indian Commercial Banks: An Application of Bankometer.” Proceedings of the National Conference on Emerging Challenges for Sustainable Business conducted at IIT Rurkee, Haridwar, India, June, 1-2, 2012, pp. 118-132.
11 Nimalathasan, B. (2008). “A Comparative Study of Financial Performance of Banking Sector in Bangladesh- An Application of CAMELS Rating System.” Economic and Administrative Series, 2, pp. 141-152.
12 Prasad, K. V., Ravinder, V., & Reddy M. (2011). “A CAMEL Model Analysis of Public and Private Banks in India.” Journal of Banking, Financial Services and Insurance Research, 1 (5), pp. 50-72.
13 Reserve Bank of India (2010). “Financial Stability Report- Financial Institutions.” RBI Publications, March, 2010.
14 Reserve Bank of India (2010). “Statistical Tables Relating to Banks.” RBI Publications, Various Issues.
15 Sangami, M., & Nazir, T. (2010). “Analysing Financial Performance of Commercial Banks in India: Application of CAMEL Model.” Pakistan Journal of Commerce and Social Science, 4 (1), pp. 40-55.
16 Sasikala, D. (2012). “Dr. Reddy's Liquidity Management and Trade-off between Liquidity, Risk and Profitability: An Empirical Study.” Indian Journal of Finance, 6 (2), pp. 24-31.
17 Shaikh, R. K. (2010). “Global Economic Recession and Its Impact on Indian Economy.” International Research Journal, 1 (2), pp. 61-62.
18 Shar, A., Shah, M., & Jamali, H. (2010). “Performance Evaluation of Banking Sector in Pakistan: An Application of Bankometer.” International Journal of Business Management, 5 (8), pp.113-118.
19 Uppal, R. (2011). “Global Crisis: Problems and Prospects for Indian Banking Industry.” Journal of Economics and Behavioural Studies, 2 (4), pp.171-176.
20 Wirnker, A. D., & Tanko, M. (2006). “CAMEL(S) and Bank Performance Evaluation: The Way Forward.” Retrieved from http://ssrn.com/abstract=1150968.
Anita Makkar
Junior Research Fellow (UGC), Haryana School of Business
Guru Jambheshwar University of Science &Technology, Hisar, Haryana.
anita29561@gmail.com
Shveta Singh
Assistant Professor, Haryana School of Business, Guru Jambheshwar University of Science
&Technology, Hisar, Haryana.
shvetachahal@gmail.com
 
 
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