Noise Trading : An Analysis of Retail Trading in the Indian Equity Market

Authors

  •   Saji George Ph.D. Scholar, Department of Economics North Eastern Hill University, Shillong- 793 022, Meghalaya
  •   P. Srinivasa Suresh Associate Professor, Department of Economics, North Eastern Hill University Shillong- 793 022, Meghalaya

Keywords:

Information Inefficiency

, Investor Rationality, Investor's Behavioural Traits, Noise Trading, Return Variances

G00

, G020, G10, G12, G14

Paper Submission Date

, December 6, 2014, Paper sent back for Revision, February 4, 2015, Paper Acceptance Date, March 3, 2015.

Abstract

The investment decision making in stock markets across the globe has become a cumbersome task due to the frequent fluctuations in the stock prices and trade volume that do not commensurate with the new information flows. These occurrences can be broadly attributed to 'noise trading' emanating from the naïve trading behaviour of investors. This study, on the assumption that noise trading increases trade volume and return variance, examined the trading behaviour of retail investors to find out if their trading creates noise in the price discovered. The Indian stock market is flooded with different categories of investors with varying resources, motives, information share, and behavioural instincts. By analyzing daily buy-sell activity together with changes in market liquidity and return variances, this study identified convincing evidence of noise in retail trading in the Indian equity market. Furthermore, these results demand analysis of the same issues in more dynamic frames of analysis covering other investor categories and direct the attention to investigate on the functioning of intermediaries in creating noise based trading in the Indian market.

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Published

2015-03-01

How to Cite

George, S., & Srinivasa Suresh, P. (2015). Noise Trading : An Analysis of Retail Trading in the Indian Equity Market. Indian Journal of Research in Capital Markets, 2(1), 28–38. Retrieved from https://indianjournalofmarketing.com/index.php/ijrcm/article/view/102682

Issue

Volume 2, Issue 1, January-March 2015

Section

Articles

References

Aumann, R. J. (1976). Agreeing to disagree. The Annals of Statistics, 4(6), 1236-1239.

Barber, B.M., Odean, T., & Zhu, N. (2009). Systematic noise. Journal of Financial Markets, 12(4), 547-569.

Beer, F., Watfa, M. and Zouaoui, M. (2011). Do investors care about noise trader risk? (Working Papers) CREGO, Université de Bourgogne. Retrieved from http://leg.u-bourgogne.fr/images/stories/wp/1111201.pdf

Bender, J.C., Osler, C.L., & Simon, D. (2013). Noise trading and illusory correlations in US equity markets. Review of Finance, 17, 625 - 652. DOI: 10.1093/rof/rfr037

Black, F. (1986). Noise. The Journal of Finance, 41 (3), 521-543. DOI: 10.1111/j.1540-6261.1986.tb04513.x

Bloomfield, R., O'Hara, M., & Saar, G. (2009). How noise trading affects markets: An experimental analysis. Review of Financial Studies, 22 (6), 2275-2302. DOI: 10.1093/rfs/hhn102

Campbell, J.Y., & Kyle, A.S. (1993). Smart money, noise trading and stock price behavior. Review of Economic Studies, 60, 1-34.

Cootner, P.H. (1962). Stock prices: Random vs. systematic changes. Industrial Management Review, 3 (2), 24-45.

Cowels, A. (1960). A revision of previous conclusions regarding stock price behavior. Econometrica, 28 (4), 909-915.

Davidson, S., & Piriyapant, G. (n.d.). Are foreign investors noise traders? Evidence from Thailand. Retrieved from http://mams.rmit.edu.au/6plw2u1hbmy1.pdf

De Bondt, W.F.M., & Thaler, R. (1985). Does the stock market overreact? The Journal of Finance, 40 (3), 793-805. DOI: 10.1111/j.1540-6261.1985.tb05004.x

De Long, J.B., Shleifer, A., Summers, L.H., & Waldmann, R.J. (1990). Noise trader risk in financial markets. The Journal of Political Economy, 98(4), 703-738.

Fama, E.F. (1965a). The behavior of stock market prices. The Journal of Business, 38 (1), 34-105.

Fama, E.F. (1965b). Random walks in stock market prices. Financial Analysts Journal, 21 (5), 55-59.

Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25 (2), 383-417. DOI: 10.1111/j.1540-6261.1970.tb00518.x

Fama, E.F., & French, K.H. (1992). The cross section of expected returns. The Journal of Finance, 47(2), 427-465.

Fama, E.F.,& MacBeth, J.D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636.

Flynn, S.M. (2005). Noise trading, costly arbitrage, and asset prices: Evidence from US closed - end funds. Journal of Financial Markets, 15 (1), 108-125. DOI:10.1016/j.finmar.2011.06.001

Glosten, L.R., & Milgrom, P.R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14, 71-100.

Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37 (3), 424-438.

Greene, J., & Smart, S. (1999). Liquidity provision and noise trading: Evidence from the “investment dartboard†column. The Journal of Finance, 54 (5), 1885-1899. DOI: 10.1111/0022-1082.00171

Grossman, S.J., & Stiglitz, J.E. (1980). On the impossibility of informationally efficient markets. The American Economic Review, 70 (3), 393-408.

Jagadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. The Journal of Finance, 48 (1), 65-91. DOI: 10.1111/j.1540-6261.1993.tb04702.x

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47 (2), 263-292.

Kahneman, D., & Tversky, A. (1983). Choices, values, and frames. American Psychological Association, 39 (4), 341-350. DOI : http://psycnet.apa.org/doi/10.1037/0003-066X.39.4.341

Kaur, M., & Vohra, T.(2012). Understanding individual investor's behavior: A review of empirical evidences. Pacific Business Review International, 5 (6), 10-18.

Kim, O., & Verrecchia, R.E. (2007). Trading volume and price reactions to public announcements. Journal of Accounting Research, 29 (2), 302-321.

Koski, J.L., Rice, E.M., & Tarhouni, A. (2004). Noise trading and volatility: Evidence from day trading and message boards. DOI : http://ssrn.com/abstract=533943

Kross, W., & Schroeder, D.A. (1984). An empirical investigation of the effect of quarterly earnings announcement timing on stock returns. Journal of Accounting Research, 22 (1), 153-176.

Kyle, A.S. (1985). Continuous auctions and insider trading. Econometrica, 53 (6), 1315-1335.

Lee, J.H., Chou, R.K., & Lin, C.F.(2004). Noise trading and market quality. Retrieved from http://www.finance.org.tw/2004conference/PAPER/noise%20trading%20and%20market%20quality.pdf

Lo, A.W., & MacKinlay, A.C. (1988). Stock market prices do not follow random walks: evidence from a simple specification test. The Review of Financial Studies, 1(1), 41-66. doi: 10.1093/rfs/1.1.41

Loughran, T., & Ritter, J.R. (1995). The new issues puzzle. Journal of Finance, 50 (1), 23-51.

Marshall, J.M. (1974). Private incentives and public information. The American Economic Review, 64 (3), 373-390.

Milgrom, P., & Stokey, N. (1982). Information trade and common knowledge. Journal of Economic Theory, 26 (1), 17-27.

Padiyath, S., & Jha, M. (2012, December 2). Indian retail investors are more 'irrational' traders. The Hindu Business Line. Retrieved from http://www.thehindubusinessline.com/markets/stock-markets/indian-retail-investors-are-more-irrational-traders-study/article4156830.ece

Podolski-Boczar, E., Kalev, P.S., & Duong, H.N. (2009). Deafened by Noise: Do noise traders affect volatility and returns (Working Paper). Australia : Monash University.

Pontiff, J., & Woodgate, A. (2008). Share issuance and cross-sectional returns. The Journal of Finance, 63 (2), 921-945.

Ramiah, V., & Davidson, S. (2007). Information-adjusted noise model: Evidence of inefficiency on the Australian stock market. The Journal of Behavioral Finance, 8 (4), 209 - 224. DOI:10.1080/15427560701698926

Samuelson, P.A. (1965). Proof that properly anticipated price fluctuates randomly. Industrial Management Review, 6 (2), 41-49.

Securities and Exchange Board of India (SEBI). (2014). Annual Report 2013-14. Retrieved from http://www.sebi.gov.in/cms/sebi_data/attachdocs/1408513411215.pdf

Sellin, P. (1996). Inviting excess volatility? Opening up a small stock market to international investors. The Scandinavian Journal of Economics, 98 (4), 603-612.

Shaik, A.M.P., Murty, T.N., Krishna, R.V. , & Kiran, V.H.G. (2012). Investment objectives of the retail equity investors in India. International Journal of Social Science and Interdisciplinary Research, 1 (7), 54-88.

Sharpe, W.F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance,19 (3), 425-442.

Simon, H.A. (1959). Theories of decision-making in economics and behavioral science. The American Economic Review, 49 (3), 253-283.

Simon, H.A. (1978). Rationality as process and as product of thought. The American Economic Review, 68 (2), 1-16.

Taylor, S.J. (1982). Tests of the random walk hypothesis against a price-trend hypothesis. Journal of Financial and Quantitative Analysis, 17 (1), 37-61.

Tetlock, P.C. (2006). Does noise trading affect securities market efficiency? Retrieved from http://www.columbia.edu/~pt2238/papers/Tetlock_Noise_and_Efficiency_09_06.pdf

Tokic, D. (2007). Noise trading and market efficiency: The role of passive investors. The Journal of Trading, 2 (3), 37-44. DOI: 10.3905/jot.2007.688946

Trueman, B. (1988). A theory of noise trading in Securities Markets. The Journal of Finance, 43(1), 83-95. DOI: 10.1111/j.1540-6261.1988.tb02590.x

Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5 (2), 207-232. DOI:10.1016/0010-0285(73)90033-9

Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185 (4157), 1124-1131.