Trading Behaviour of Investor Categories and Its Impact on Indian Equity Market

  • Saji GeorgeEmail author
  • P. Srinivasa Suresh


The study is carried out in the Indian equity market based on the data drawn from both BSE and NSE for a period spanning from 2004–2016 to examine the trading behaviour of investor categories and its association with major indices in Indian equity market. Three common characteristics in the trading behaviour of FIIs, banks, NRIs, proprietary traders, insurance companies, and DIIs (including bank and insurance) were analysed based on principal component analysis. The study observed disconnection of trading activity by investor categories with the performance of the economy. Further, it is also observed that the characteristic that is heavily influenced positively by the commonality in client trading, FIIs, banks, insurance and DIIs and negatively influenced by proprietary trading was found to be significantly associated with irrational sentiment in the market. The component which is significantly positively related to the irrational sentiment in the market and negatively associated with economic indicators though not significant showed a negative association with all the major indices in the market. It is concluded from the analysis that FIIs, DIIs and client trading activities are much similar to those of noise traders in the market, but following contrarian trading strategies while proprietary trading taking opposite position in the market by trading against these groups indirectly increase the errors in the market in the guise of market making. Insurance companies are the group which trade in line with economic fundamentals and positively influence the movements in Indian equity market.


Trading behaviour Investor categories Irrational sentiment Economic fundamentals Principal component analysis 

JEL Classification

G1 G12 G14 G40 


  1. Chordia, T., & Swaminathan, B. (2000). Trading volume and cross-autocorrelations in stock returns. The Journal of Finance, 55(2), 913–935.CrossRefGoogle Scholar
  2. Chandrapala, P. (2011). The relationship between trading volume and stock returns. Journal of Competitiveness3(3).Google Scholar
  3. Economics, C. (1976). A model of asset trading under the assumption of sequential information arrival. The Journal of Finance, 31(4), 1149–1168.CrossRefGoogle Scholar
  4. Epps, T. W., & Epps, M. L. (1976). The stochastic dependence of security price changes and transaction volumes: Implications for the mixture-of-distributions hypothesis. Econometrica: Journal of the Econometric Society, 305–321.CrossRefGoogle Scholar
  5. Gupta, O. P. (1990). Stock market efficiency and random character of share price behaviour in India. Asia Pacific Journal of Management, 7(2), 165–174.CrossRefGoogle Scholar
  6. Gupta, R., & Basu, P. K. (2007). Weak form efficiency in Indian stock markets. International Business & Economics Research Journal (IBER), 6(3).Google Scholar
  7. Garg, A. K., & Varshney, P. (2015). Momentum effect in Indian stock market: A sectoral study. Global Business Review, 16(3), 494–510.CrossRefGoogle Scholar
  8. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292.CrossRefGoogle Scholar
  9. Kahneman, D., & Tversky, A. (1983). Choices, values, and frames. American Psychological Association, 39(4), 341–350.CrossRefGoogle Scholar
  10. Karolyi, G. A. (2002). Did the Asian financial crisis scare foreign investors out of Japan? Pacific-Basin Finance Journal, 10(4), 411–442.CrossRefGoogle Scholar
  11. Kamesaka, A. (2013). The great east Japan earthquake and investor behavior in Japan’s equity markets. Public Policy Review, 9(1), 71–86.Google Scholar
  12. Mishra, A., & Mishra, V. (2011). Is the Indian stock market efficient? Evidence from a TAR model with an autoregressive unit root. Applied Economics Letters, 18(5), 467–472.CrossRefGoogle Scholar
  13. Mehla, S., & Goyal, S. K. (2012). Empirical evidence on weak form of efficiency in Indian stock market. Asia-Pacific Journal of Management Research and Innovation, 8(1), 59–68.CrossRefGoogle Scholar
  14. Mubarik, F., & Javid, A. Y. (2009). Relationship between stock return, trading volume and volatility: Evidence from Pakistani stock market.
  15. Mahajan, S., & Singh, B. (2008). An empirical analysis of stock price-volume relationship in Indian stock market. Vision, 12(3), 1–13.CrossRefGoogle Scholar
  16. Nalini, R. (2015). Testing random walk hypothesis in Indian stock market-A study of selected stocks listed on BSE. Vishwakarma business Review, 5(1), 31–38.Google Scholar
  17. Pant, B., & Bishnoi, T. R. (2001). Testing random walk hypothesis for Indian stock market indices. In Research Paper Presented in UTI Capital Market Conference Proceedings (pp. 1–15).Google Scholar
  18. Poshakwale, S. (2002). The random walk hypothesis in the emerging Indian stock market. Journal of Business Finance & Accounting, 29(9–10), 1275–1299.CrossRefGoogle Scholar
  19. Pandey, A. (2003). Efficiency of Indian stock market. or
  20. Phansatan, S., Powell, J. G., Tanthanongsakkun, S., & Treepongkaruna, S. (2012). Investor type trading behavior and trade performance: Evidence from the Thai stock market. Pacific-Basin Finance Journal, 20(1), 1–23.CrossRefGoogle Scholar
  21. Richards, A. (2005). Big fish in small ponds: The trading behavior and price impact of foreign investors in Asian emerging equity markets. Journal of Financial and quantitative Analysis, 40(1), 1–27.CrossRefGoogle Scholar
  22. Singh, P., & Kumar, B. (2009). Variance ratio tests of the random walk hypothesis for Indian Stock Index Futures: evidence from high frequency data. Indian Institute of Management Ahmadabad.
  23. Suominen, M. (2001). Trading volume and information revelation in stock market. Journal of Financial and Quantitative Analysis, 36(4), 545–565.CrossRefGoogle Scholar
  24. Sashikala, P., & Girish, G. P. (2015). Factors influencing retail investor’s trading behavior in Indian Equity market. International Journal of Business and Management, 10(11), 206.Google Scholar
  25. Sehgal, S., & Tripathi, N. (2009). Investment strategies of FIIs in the Indian equity market. Vision, 13(1), 11–18.CrossRefGoogle Scholar
  26. Suresh, P. S., & George, S. (2016). Market sentiment dynamics and return volatility in the Indian equity market. Indian Journal of Finance, 10(6), 7–23.CrossRefGoogle Scholar
  27. Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5, 207–232.CrossRefGoogle Scholar
  28. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185 (4157), 1124–1131.CrossRefGoogle Scholar
  29. Wood, R., & Zaichkowsky, J. L. (2004). Attitudes and trading behavior of stock market investors: A segmentation approach. The Journal of Behavioral Finance, 5(3), 170–179.CrossRefGoogle Scholar
  30. Yonis, M. (2014). Trading Volume and Stock Return: Empirical Evidence for Asian Tiger Economies.

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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of EconomicsNorth Eastern Hill UniversityShillongIndia

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