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Private Information and High-Frequency Stochastic Volatility

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Author Info
David Kelly (University of Miami)
Douglas Steigerwald (University of California, Santa Barbara)

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Abstract

We study the effect of privately informed traders on measured high frequency price changes and trades in asset markets. We use a standard market microstructure framework where exogenous news is captured by signals that informed agents receive. We show that the entry and exit of informed traders following the arrival of news accounts for high-frequency serial correlation in squared price changes (stochastic volatility) and trades. Because the bid-ask spread of the market specialist tends to shrink as individuals trade and reveal their information, the model also accounts for the empirical observation that high-frequency serial correlation is more pronounced in trades than in squared price changes. A calibration test of the model shows that the features of the market microstructure, without serially correlated news, accounts qualitatively for the serial correlation in the data, but predicts less persistence than is present in the data.

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Publisher Info
Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 8 (2004)
Issue (Month): 1 ()
Pages: 1167-1167
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Handle: RePEc:bep:sndecm:8:2004:1:1167-1167

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Related research
Keywords: Stochastic Volatility Market Microstructure GARCH high frequency serial correlation

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

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    Other versions:
  3. Engle, Robert F. & Ng, Victor K. & Rothschild, Michael, 1990. "Asset pricing with a factor-arch covariance structure : Empirical estimates for treasury bills," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 213-237. [Downloadable!] (restricted)
    Other versions:
  4. Jamsheed Shorish & Stephen Spear, . "Shaking the Tree: An Agency Theoretic Model of Asset Pricing," GSIA Working Papers 2003-E19, Carnegie Mellon University, Tepper School of Business. [Downloadable!]
    Other versions:
  5. Haan, Wouter J. den & Spear, Scott A., 1998. "Volatility clustering in real interest rates Theory and evidence," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 431-453, May. [Downloadable!] (restricted)
  6. John Owens & Douglas G. Steigerwald, 2005. "Inferring Information Frequency and Quality," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 500-524. [Downloadable!] (restricted)
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  13. Easley, David, et al, 1996. " Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-36, September. [Downloadable!] (restricted)
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  14. Epps, Thomas W, 1975. "Security Price Changes and Transaction Volumes: Theory and Evidence," American Economic Review, American Economic Association, vol. 65(4), pages 586-97, September. [Downloadable!] (restricted)
  15. Huffman, Gregory W, 1987. "A Dynamic Equilibrium Model of Asset Prices and Transaction Volume," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 138-59, February. [Downloadable!] (restricted)
  16. Tim Bollerslev & Robert F. Engle & Daniel B. Nelson, 1993. "ARCH Models," University of California at San Diego, Economics Working Paper Series 93-49, Department of Economics, UC San Diego. [Downloadable!]
    Other versions:
    • Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038 Elsevier. [Downloadable!] (restricted)
  17. Laffont, Jean-Jacques & Maskin, Eric S, 1990. "The Efficient Market Hypothesis and Insider Trading on the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 70-93, February. [Downloadable!] (restricted)
  18. Blume, Marshall E & Goldstein, Michael A, 1997. " Quotes, Order Flow, and Price Discovery," Journal of Finance, American Finance Association, vol. 52(1), pages 221-44, March. [Downloadable!] (restricted)
  19. Andersen, Torben G, 1996. " Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Jonathan Wright, 2002. "Log-Periodogram Estimation Of Long Memory Volatility Dependencies With Conditionally Heavy Tailed Returns," Econometric Reviews, Taylor and Francis Journals, vol. 21(4), pages 397-417. [Downloadable!] (restricted)
  2. Doug Steigerwald & Richard Vagnoni, 2001. "Option Market Microstructure and Stochastic Volatility," University of California at Santa Barbara, Economics Working Paper Series 17-01, Department of Economics, UC Santa Barbara. [Downloadable!]
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