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Implications of microstructure theory for empirical research in stock price behavior

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Author Info

  • Hawawini, Gabriel
  • Cohen, Kalman
  • Maier, Steven
  • Schwartz, Robert
  • Whitcomb, David

Abstract

This paper examines the implications of microstructure theory for empirical research on stock price behavior

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File URL: http://mpra.ub.uni-muenchen.de/33976/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 33976.

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Date of creation: 1980
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Publication status: Published in Journal of Finance May 1980.35(1980): pp. 249-257
Handle: RePEc:pra:mprapa:33976

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Related research

Keywords: Microstructure theory; empirical research on stock price behavior;

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References

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  1. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
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Citations

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Cited by:
  1. Lars Norden, 1994. "Daily distribution of Swedish OMX-index returns over intraday-to-intraday time intervals," Finnish Economic Papers, Finnish Economic Association, vol. 7(1), pages 3-16, Spring.
  2. McKenzie, Michael D. & Faff, Robert W., 2005. "Modeling conditional return autocorrelation," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 23-42.
  3. Rodolfo Apreda, 1998. "Dynamic Arbitrage Gaps for Financial Assets," CEMA Working Papers: Serie Documentos de Trabajo. 134, Universidad del CEMA.
  4. Terry Richardson & David Peterson, 1997. "Causes of cross-autocorrelation in security returns: Transaction costs versus information quality," Journal of Economics and Finance, Springer, vol. 21(3), pages 29-39, September.
  5. Joanna Olbrys & Elzbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 51-70.
  6. Safvenblad, Patrik, 2000. "Trading volume and autocorrelation: Empirical evidence from the Stockholm Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1275-1287, August.
  7. Yu, Chih-Hsien & Wu, Chunchi, 2001. "Economic sources of asymmetric cross-correlation among stock returns," International Review of Economics & Finance, Elsevier, vol. 10(1), pages 19-40.
  8. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading volume and market efficiency: an Agent Based Model with heterogenous knowledge about fundamentals," AMSE Working Papers 1419, Aix-Marseille School of Economics, Marseille, France, revised May 2014.
  9. Venetis, Ioannis A. & Peel, David, 2005. "Non-linearity in stock index returns: the volatility and serial correlation relationship," Economic Modelling, Elsevier, vol. 22(1), pages 1-19, January.
  10. Pauline M. Shum & James E. Pesando, 1996. "Share Price Response to New Information with Short Horizon Investors the Case of Hong Kong," Working Papers 1997_02, York University, Department of Economics.
  11. Aityan, Sergey K. & Ivanov-Schitz, Alexey K. & Izotov, Sergey S., 2010. "Time-shift asymmetric correlation analysis of global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 590-605, December.
  12. Warren Dean & Robert Faff, 2008. "Evidence of feedback trading with Markov switching regimes," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 133-151, February.
  13. Pasaribu, Rowland Bismark Fernando, 2009. "Koreksi Bias Koefisien Beta
    [Non-Synchronous Trading In Indonesia Stock Exchange]
    ," MPRA Paper 39874, University Library of Munich, Germany.
  14. Brailsford, Timothy J. & Josev, Thomas, 1997. "The impact of the return interval on the estimation of systematic risk," Pacific-Basin Finance Journal, Elsevier, vol. 5(3), pages 357-376, July.
  15. Beer, Francisca Marie, 1997. "Estimation of risk on the Brussels Stock Exchange: Methodological issues and empirical results," Global Finance Journal, Elsevier, vol. 8(1), pages 83-94.
  16. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
  17. Kramer, Charles, 1999. "Noise trading, transaction costs, and the relationship of stock returns and trading volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 343-362, November.
  18. Masih, Mansur & Alzahrani, Mohammed & Al-Titi, Omar, 2010. "Systematic risk and time scales: New evidence from an application of wavelet approach to the emerging Gulf stock markets," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 10-18, January.
  19. Lang, Larry H. P. & Lee, Yi Tsung, 1999. "Performance of various transaction frequencies under call markets: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 23-39, February.
  20. Pasaribu, Rowland Bismark Fernando, 2009. "Koreksi Bias Koefisien Beta
    [Non-Synchronous Trading In Indonesia Stock Exchange]
    ," MPRA Paper 36981, University Library of Munich, Germany.
  21. Barry Harrison & Winston Moore, 2012. "Stock Market Efficiency, Non-Linearity, Thin Trading and Asymmetric Information in MENA Stock Markets," Economic Issues Journal Articles, Economic Issues, vol. 17(1), pages 77-93, March.

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