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Order imbalance and returns: evidence from India

Author

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  • Nikhil Rastogi
  • V.N. Reddy
  • Kiran Kumar Kotha

Abstract

Purpose - The purpose of this paper is to study the empirical relationship between order imbalance and returns in the backdrop of structural changes in the Indian market. Design/methodology/approach - The study makes use of hypothesis testing and dummy variable regression to investigate the relationship between order imbalance and returns during the period 1999‐2005, which saw definitive change in the structure of the Indian markets. Findings - Order imbalance (buying or selling pressure) has significantly reduced post the structural reforms at the daily as well as intra‐day intervals across trade, as well as value measures of order imbalance. After controlling for the number of transactions, order imbalance and return correlations have fallen in the post‐2002 period as compared to the pre‐2002 period, at daily as well as intra‐day intervals. Further, after controlling for past high and low returns, order imbalance exhibits day of the week effect in the pre‐2002 period while no such effect is seen in the post‐2002 period. Originality/value - The work brings out order imbalance and returns relationship for the Indian market, which has different structure from that of many developed, as well as developing, markets in the backdrop of changes in its own structure. This would provide a richer literature in the area of market structure and design.

Suggested Citation

  • Nikhil Rastogi & V.N. Reddy & Kiran Kumar Kotha, 2013. "Order imbalance and returns: evidence from India," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 9(2), pages 92-109, March.
  • Handle: RePEc:eme:ijmfpp:v:9:y:2013:i:2:p:92-109
    DOI: 10.1108/17439131311307538
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    References listed on IDEAS

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    1. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    2. John Y. Campbell & Robert J. Shiller, 1988. "Stock Prices, Earnings and Expected Dividends," Cowles Foundation Discussion Papers 858, Cowles Foundation for Research in Economics, Yale University.
    3. David Michayluk & Karyn Neuhauser, 2008. "Is Liquidity Symmetric? A Study of Newly Listed Internet and Technology Stocks," International Review of Finance, International Review of Finance Ltd., vol. 8(3‐4), pages 159-178, September.
    4. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2002. "Order imbalance, liquidity, and market returns," Journal of Financial Economics, Elsevier, vol. 65(1), pages 111-130, July.
    5. Brown, Philip & Walsh, David & Yuen, Andrea, 1997. "The interaction between order imbalance and stock price," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 539-557, December.
    6. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    7. Campbell, John Y & Shiller, Robert J, 1988. "Stock Prices, Earnings, and Expected Dividends," Journal of Finance, American Finance Association, vol. 43(3), pages 661-676, July.
    8. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    9. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    10. Chan, Kalok & Fong, Wai-Ming, 2000. "Trade size, order imbalance, and the volatility-volume relation," Journal of Financial Economics, Elsevier, vol. 57(2), pages 247-273, August.
    11. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    12. Nelson, Charles R, 1976. "Inflation and Rates of Return on Common Stocks," Journal of Finance, American Finance Association, vol. 31(2), pages 471-483, May.
    13. Sias, Richard W, 1997. "Price Pressure and the Role of Institutional Investors in Closed-End Funds," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 211-229, Summer.
    14. Finucane, Thomas J., 2000. "A Direct Test of Methods for Inferring Trade Direction from Intra-Day Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 553-576, December.
    15. Giovanni Majnoni & Massimo Massa, 2001. "Stock Exchange Reforms and Market Efficiency: the Italian Experience," European Financial Management, European Financial Management Association, vol. 7(1), pages 93-116, March.
    16. Aitken, Michael & Frino, Alex, 1996. "The accuracy of the tick test: Evidence from the Australian stock exchange," Journal of Banking & Finance, Elsevier, vol. 20(10), pages 1715-1729, December.
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