Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Empirical Study of Herd Behavior: The National Stock Exchange, India


Affiliations
1 Faculty of Finance & Accounting, KIIT School of Management, KIIT University, Bhubaneswar – 751024, India
     

   Subscribe/Renew Journal


The paper examines the presence of herd behavior in the S&P CNX Nifty 50 index of the National Stock Exchange of India, which arises out of the informational asymmetries found in the emerging markets around the globe. A price-based model with logarithmic crosssectional deviation employing Kalman fi lter is used to measure the presence of herding. This study exposes the severe effects of herd behavior on the Nifty index. We have found highly signifi cant herding in the Nifty index on a market-wide level during the period of 1997-2008. We also state that this type of behavior is decidedly exhibited by the market participants of the Nifty index, during the bull runs in the market and correspondingly less exhibited during the bear runs. Our work also examines the various events that took place during our sample period (May 1997-December 2008) and relates it to the course of herding in the Nifty index.

Keywords

Herd Behavior, Informational Asymmetries, Logarithmic Cross-sectional Deviation, Kalman fi Lter
Subscription Login to verify subscription
User
Notifications
Font Size

  • Avery, C., and Zemsky, P., (1998) “Multidimensional Uncertainty and Herd Behavior in Financial Markets,” American economic review, 88 (4), pp. 724-748.
  • Alemani, B. and Ornealas, J.R.H (2008) “Herding behavior by equity foreign investors on emerging markets”, Working Paper, Banco Central do Brasil.
  • Acharya, S., (2002) “India: Crisis, Reforms and Growth in the Nineties”, Center for Research on Economic Development and Policy Reform,” Working Paper, 139
  • Agarwal, S., Liu, C., and Rhee, S.G., (2007) “Who Herds with Whom? New Evidence on Herding Behavior of Domestic and Foreign Investors in the Emerging Stock Markets,” Working Paper, Federal Reserve Bank of Chicago – Economic Research.
  • Batra, A., (2003) “The Dynamics of Foreign Portfolio Infl ows and Equity Returns in India,” Working Paper, EconPapers no, 109.
  • Banerjee, A., (1992) “A Simple Model of Herd Behavior,” Quarterly Journal of economics, 107 (3), pp. 797-818.
  • Banerjee, A., (1993) “The Economics Of Rumors,” The Review of Economic Studies, 60(2) pp. 309-327
  • Bikchandani, S. and Sharma, S (2001) “Herd Behavior in fi nancial Markets,” Working Paper, IMF Staff papers, vol. 47(3)
  • Bikchandani, S., Hirshleifer, D., Welch, I., (1992) “A Theory of Fads, Fashion, Custom and Cultural Change as Informational Cascades,” Journal of Political Economy, 100(5) pp. 992-1026.
  • Bartels, L.M., (1988) “Presidential Primaries and the Dynamics of Public Choice,” Princeton N.J., Princeton University Press.
  • Bowe, M. and Domuta, D., (2004) “Investor Herding during Financial Crisis: A Clinical Study of the Jakarta Stock Exchange,” Pacifi c- Basin Finance Journal, 12 (4) pp.387-418.
  • Cont, R. and Bouchaud, J.P., (2000) “Herd Behavior and Aggregate Fluctuations in Financial Markets,” Macroeconomic Dynamics, 4 (2) pp. 170-196.
  • Chari, V.V., and Kehoe, P., (2003), “Financial Crisis as Herds: Overturning the critiques,” Working paper, NBER
  • Christie, W.G. and Huang, R.D., (1995) “Following the Pied Piper: Do Individual Returns Herd Around The World,” Financial Analysts Journal , 51(4) pp. 31-37
  • Chang, E.C., Cheng, J.W. and Khorana, A., (1999) “An Examination of Herd Behavior in Equity Markets: An International Perspective”, Journal of Banking and Finance, 24, pp. 1651-1679
  • Devenow, A., and Welch, I., (1996) “Rational Herding in Financial Economics,” European Economic Review, 40 (3-5), pp. 603-615.
  • De Bondt, W.F.M. and Teh, L.L., (1997) “Herding Behavior and Stock Returns: An Exploratory Investigation,” Swiss Journal of Economic and Statistics, 133 (2/2), pp. 293-324.
  • Frenkel, M., Hommel, U., Rudolf, M., and Dufey, G., (2005) Risk Management: Challenge and Opportunity, 2nd revised edition, Springer pp.1-838.
  • Grinblatt, M., Titman, S. and Wermers, R., (1995) “Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior,” The American Economic Review, 85 (5) pp.1088-1105
  • Graham, J.R., (1999) “Herding Among Investment Newsletters: Theory and Evidence,” Journal of Finance, LIV, 1, pp. 237-268.
  • Hong, H., Kudik, J.D., and Solomon, A. (2000) “Security Analysts Career Concerns and Herding of Earnings Forecasts,” RAND Journal of Economics, 31(1) pp.121-144.
  • Hwang, S and Salmon, M., (2004) “Market Stress and Herding,” Journal of Empirical Finance, 11() pp. 585-616.
  • Kallinterakis, V. and Kratunova, T., (2007) “Does Thin Trading Impact Upon the Measurement Of Herding? Evidence from Bulgaria,” Working Paper, Ekonomia, 10(1).
  • Kim, W., and Wei, S-J., (2002) “Foreign Portfolio Investors Before and During a Crisis,” Journal of International Economics, 56 (1) pp. 77-96.
  • Keynes, J. M., (1936) Economics:The General Theory of Employment, Interest and Money, 2007 edition London: Macmillan pp.1-472
  • Komulainen, T., (2001) “Currency Crises in Emerging Markets: Capital Flows and Herding Behavior,” Working Paper, BOFIT Discussion Papers No 10
  • Lakonishok, J., Shleifer, A. and Vishny, R.W., (1992) “The impact of institutional trading on Stock Prices,” Journal of Financial Economics, 32 (1) pp. 23-43.
  • Maug, E., and Naik, N., (1996) “Herding and Delegated Portfolio Management: The Impact of Relative Performance Evaluation on Asset Allocation,” Working paper, IFA.
  • Puckett, A. and Yan, X., (2008) “Short-term Institutional Herding and Its Impact on Stock Prices,” Working Paper, University of Missouri at Columbia, Department of Finance.
  • Popper, M., (2000) “Herd on the Street,” Business Week, October 19, 2000.
  • Prendergast, C., and Stole, L., (1996) “Impetuous Youngsters and Jaded Old-Times: Acquiring a Reputation for Learning,” Journal of Political Economy, 104(6), pp. 1105-1134.
  • Scharfstein, D.S. and Stein, J.C., (1990) “Herd Behavior and Investment,” American Economic Review, 80(3), pp.465-479
  • Schwert, G.W., (1989) “Why Does the Stock Market Volatility Change Over Time,” Journal of Finance, 44(5), pp 1115-1153
  • Shiller, R.J., (1990) “Market Volatility and Investor Behavior”, The American Economic Review, 80(2), pp. 58-62
  • Trueman, B., (1994) “Analyst Forecasts and Herding Behavior,” Review of Financial Studies, 7 (1), pp. 97-124.
  • Topol, R., (1991) “les and Volatility of Stock Prices: Effect of Mimetic Contagion,” The Economic Journal, 101(407), pp. 786-800
  • Wermers, R., (1999) “Mutual Fund Herding and the Impact on Stock Prices,” Journal of Finance, LIV, 2, pp. 581-622.
  • Zwiebel, J., (1995) “Corporate Conservatism and Relative Compensation,” Journal of Political Economy, 103 (1), pp. 1-25.

Abstract Views: 331

PDF Views: 0




  • Empirical Study of Herd Behavior: The National Stock Exchange, India

Abstract Views: 331  |  PDF Views: 0

Authors

Anandadeep Mandal
Faculty of Finance & Accounting, KIIT School of Management, KIIT University, Bhubaneswar – 751024, India

Abstract


The paper examines the presence of herd behavior in the S&P CNX Nifty 50 index of the National Stock Exchange of India, which arises out of the informational asymmetries found in the emerging markets around the globe. A price-based model with logarithmic crosssectional deviation employing Kalman fi lter is used to measure the presence of herding. This study exposes the severe effects of herd behavior on the Nifty index. We have found highly signifi cant herding in the Nifty index on a market-wide level during the period of 1997-2008. We also state that this type of behavior is decidedly exhibited by the market participants of the Nifty index, during the bull runs in the market and correspondingly less exhibited during the bear runs. Our work also examines the various events that took place during our sample period (May 1997-December 2008) and relates it to the course of herding in the Nifty index.

Keywords


Herd Behavior, Informational Asymmetries, Logarithmic Cross-sectional Deviation, Kalman fi Lter

References