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Cross-Security Tests of the Mixture of Distributions Hypothesis

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Author Info
Harris, Lawrence
Abstract

New cross-sectional tests of the Mixture of Distributions Hypothesis are presented. The tests assume that the distribution of the mixing variable (often interpreted as the daily rate of flow of information) is not identical for all securities. Cross-security differences in the mixing distribution cause cross-security differences in the joint distribution of returns and volume. The Hypothesis provides predictions about how these differences appear in the joint distribution. The predictions are confirmed in tests based on cross-security correlations among summary statistics that characterize shape and covariational attributes of the joint distribution of returns and volume. The results are consistent with the Mixture of Distributions Hypothesis.

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File URL: http://journals.cambridge.org/abstract_S0022109000011947
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Publisher Info
Article provided by Cambridge University Press in its journal Journal of Financial and Quantitative Analysis.

Volume (Year): 21 (1986)
Issue (Month): 01 (March)
Pages: 39-46
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:jfinqa:v:21:y:1986:i:01:p:39-46_01

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  1. Simon Gervais & Ron Kaniel & Dan Mingelgrin, . "The High Volume Return Premium," Rodney L. White Center for Financial Research Working Papers 1-99, Wharton School Rodney L. White Center for Financial Research. [Downloadable!]
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  2. Sam Howison & David lamper, 2000. "Trading Volume in Models of Financial Derivatives," OFRC Working Papers Series 2000mf03, Oxford Financial Research Centre. [Downloadable!]
  3. Philip Kostov & Ziping Wu & Seamus McErlean, 2004. "Do Chinese stock markets share common information arrival processes?," Econometrics 0410001, EconWPA. [Downloadable!]
  4. Randi Naes & Johannes A. Skjeltorp, 2003. "Strategic Investor Behaviour and the Volume-Volatility Relation in Equity Markets," Working Paper 2003/9, Norges Bank. [Downloadable!]
  5. Mende, Alexander, 2005. "09/11 on the USD/EUR Foreign Exchange Market," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-312, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
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  6. Joel Hasbrouck, 1999. "Trading Fast and Slow: Security Market Events in Real Time," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-012, New York University, Leonard N. Stern School of Business-. [Downloadable!]
  7. Thierry Ané & Loredana Ureche-Rangau, 2004. "Does trading volume really explain stock returns volatility?," Working Papers 2004-FIN-02, IESEG School of Management. [Downloadable!]
  8. 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!]
  9. 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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  10. Giorgio De Santis & Selahattin Imrohoroglu, 1994. "Stock returns and volatility in emerging financial markets," Discussion Paper / Institute for Empirical Macroeconomics 93, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  11. Gerard L. Gannon, 2009. "Dispersion of Information or Market Behaviour: General Public Trading in S&P500 Index Futures," Accounting, Finance, Financial Planning and Insurance Series 2009_01, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance. [Downloadable!]
  12. Gregory R. Duffee, 2001. "Asymmetric cross-sectional dispersion in stock returns: evidence and implications," Working Papers in Applied Economic Theory 2000-18, Federal Reserve Bank of San Francisco. [Downloadable!]
  13. 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)
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