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Endogenous Trading Volume and Momentum in Stock-Return Volatility

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Author Info
Lamoureux, Christopher G
Lastrapes, William D

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Abstract

This paper examines the ability of volume data to shed light on the source of persistence in stock-return volatility. A mixture model, in which a latent common factor restricts the joint density of volumes and returns, is used to relax the assumption of exogenous volume used in previous studies. The authors use a point-in-time signal-extraction procedure to identify this latent process and a calibrated simulation to conduct analysis of the viability of the model to explain important properties of the data. Using daily returns and volume on individual stocks, their procedure cannot accommodate serial dependence in squared returns.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 12 (1994)
Issue (Month): 2 (April)
Pages: 253-60
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Handle: RePEc:bes:jnlbes:v:12:y:1994:i:2:p:253-60

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  1. Giampiero M. Gallo, Barbara Pacini, 2000. "The effects of trading activity on market volatility," European Journal of Finance, Taylor and Francis Journals, vol. 6(2), pages 163-175, June. [Downloadable!] (restricted)
  2. Belton Fleisher & Dongwei Su, 1998. "Why Does Return Volatility Differ in Chinese Stock Markets?," Working Papers 98-03, Ohio State University, Department of Economics. [Downloadable!]
    Other versions:
  3. Henryk GURGUL & Tomasz WÓJTOWICZ, 2006. "Long Memory on the German Stock Exchange," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(09-10), pages 447-468, September. [Downloadable!]
  4. Anthony Murphy & Marwan Izzeldin, 2006. "Order flow transaction clock and normality of asset returns: A comment on Ané and Geman (2000)," Working Papers 003090, Lancaster University Management School, Economics Department. [Downloadable!]
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  5. Ainhoa Zarraga, 2003. "GMM-based testing procedures of the mixture of distributions model," Applied Financial Economics, Taylor and Francis Journals, vol. 13(11), pages 841-848, November. [Downloadable!] (restricted)
  6. Christian T. Brownlees & Giampiero Gallo, 2007. "Volatility Forecasting Using Explanatory Variables and Focused Selection Criteria," Econometrics Working Papers Archive wp2007_04, Universita' degli Studi di Firenze, Dipartimento di Statistica "G. Parenti". [Downloadable!]
  7. Andrew W. Lo & Jiang W. Wang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," NBER Working Papers 7625, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  8. David Berger & Alain Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  9. Laurence Copeland & Biqiong Zhang, 2003. "Volatility and Volume in Chinese Stock Markets," Journal of Chinese Economic and Business Studies, Taylor and Francis Journals, vol. 1(3), pages 287-300, September. [Downloadable!] (restricted)
  10. Philip Kostov & Ziping Wu & Seamus McErlean, 2004. "Do Chinese stock markets share common information arrival processes?," Econometrics 0410001, EconWPA. [Downloadable!]
  11. Niklas Wagner & Terry Marsh, 2000. "Return-Volume Dependence and Extremes in International Equity Markets," Research Program in Finance, Working Paper Series 1002, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley. [Downloadable!]
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  12. Marwan Izzeldin, 2007. "Trading volume and the number of trades: a comparative study using high frequency data," Working Papers 004798, Lancaster University Management School, Economics Department. [Downloadable!]
  13. Lucía Cuadro Sáez & Manuel Moreno, 2007. "GARCH Modeling of Robust Market Returns," Kiel Advanced Studies Working Papers 440, Kiel Institute for the World Economy. [Downloadable!]
  14. Ping Wang & Peijie Wang & Aying Liu, 2005. "Stock return volatility and trading volume: evidence from the chinese stock market," Journal of Chinese Economic and Business Studies, Taylor and Francis Journals, vol. 3(1), pages 39-54, January. [Downloadable!] (restricted)
  15. Eric Ghysels & Christian Gouriéroux & Joanna Jasiak, 1995. "Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Exchange Markets," CIRANO Working Papers 95s-42, CIRANO. [Downloadable!]
  16. Hua He & Jiang Wang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," NBER Working Papers 5010, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  17. Henryk Gurgul & Paweł Majdosz & Roland Mestel, 2007. "Price–volume relations of DAX companies," Financial Markets and Portfolio Management, Springer, vol. 21(3), pages 353-379, September. [Downloadable!] (restricted)
  18. Sam Howison & David Lamper, 2001. "Trading volume in models of financial derivatives," Applied Mathematical Finance, Taylor and Francis Journals, vol. 8(2), pages 119-135, May. [Downloadable!] (restricted)
  19. Ainhoa Zarraga Alonso, 1998. "Análisis de causalidad entre rendimiento y volumen," Investigaciones Economicas, Fundación SEPI, vol. 22(1), pages 45-67, January. [Downloadable!]
  20. Eric Ghysels & Christian Gourieroux & Joann Jasiak, 2000. "Causality between Returns and Traded Volumes," Annales d'Economie et de Statistique, ADRES, issue 60, pages 09, Octobre-D. [Downloadable!]
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