An experimental study of trading volume and divergence of expectations in relation to earnings announcement
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
- Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
- Gode, Dhananjay K & Sunder, Shyam, 1993.
"Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality,"
Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
- Gode, D.K. & Sunder, S., 1991. "Allocative Efficiency of Markets with Zero Intelligence (Z1) Traders: Market as a Partial Substitute for Individual Rationality," GSIA Working Papers 1992-16, Carnegie Mellon University, Tepper School of Business.
- Ann B. Gillette & Douglas E. Stevens & Susan G. Watts & Arlington W. Williams, 1999. "Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 437-479, September.
- Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
- Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
- Theissen, Erik, 2000. "Market structure, informational efficiency and liquidity: An experimental comparison of auction and dealer markets," Journal of Financial Markets, Elsevier, vol. 3(4), pages 333-363, November.
- Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
- Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
- Bamber, Linda Smith & Barron, Orie E. & Stober, Thomas L., 1999. "Differential Interpretations and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(3), pages 369-386, September.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dan Li & Geng Li, 2011. "Belief dispersion among household investors and stock trading volume," Finance and Economics Discussion Series 2011-39, Board of Governors of the Federal Reserve System (U.S.).
- Dan Li & Geng Li, 2021. "Whose Disagreement Matters? Household Belief Dispersion and Stock Trading Volume [Belief dispersion in the stock market]," Review of Finance, European Finance Association, vol. 25(6), pages 1859-1900.
- Dan Li & Geng Li, 2014. "Are Household Investors Noise Traders: Evidence from Belief Dispersion and Stock Trading Volume," Finance and Economics Discussion Series 2014-35, Board of Governors of the Federal Reserve System (U.S.).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
- Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
- Mougoué, Mbodja & Aggarwal, Raj, 2011. "Trading volume and exchange rate volatility: Evidence for the sequential arrival of information hypothesis," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2690-2703, October.
- Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
- Shyh-Wei Chen, 2008. "Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-16.
- repec:ebl:ecbull:v:7:y:2008:i:15:p:1-16 is not listed on IDEAS
- Salim Chahine, 2006. "Differential Interpretations, Private Information and Trading Volume Around French Firms' Good News vs. Bad News Preliminary Announcements," European Accounting Review, Taylor & Francis Journals, vol. 15(3), pages 403-429.
- Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
- Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
- Avouyi-Dovi, S. & Jondeau, E. & Lai Tong, C., 1997. "Effets “volume”, volatilité et transmissions internationales sur les marchés boursiers dans le G5," Working papers 42, Banque de France.
- Holmes, Phil & Rougier, Jonathan, 2005. "Trading volume and contract rollover in futures contracts," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 317-338, March.
- Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
- Yao, Yi & Yang, Rong & Liu, Zhiyuan & Hasan, Iftekhar, 2013. "Government intervention and institutional trading strategy: Evidence from a transition country," Global Finance Journal, Elsevier, vol. 24(1), pages 44-68.
- Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
- David McMillan & Alan Speight, 2002. "Return-volume dynamics in UK futures," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 707-713.
- Farag, Hisham & Cressy, Robert, 2011. "Do regulatory policies affect the flow of information in emerging markets?," Research in International Business and Finance, Elsevier, vol. 25(3), pages 238-254, September.
- Park, Beum-Jo, 2022. "The COVID-19 pandemic, volatility, and trading behavior in the bitcoin futures market," Research in International Business and Finance, Elsevier, vol. 59(C).
- Cathy W.S. Chen & Mike K.P. So & Thomas C. Chiang, 2016.
"Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach,"
The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 96-124, March.
- Cathy W. S. Chen & Mike K. P. So & Thomas C. Chiang, 2016. "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Springer, vol. 67(1), pages 96-124, March.
- Saswat Patra & Malay Bhattacharyya, 2021. "Does volume really matter? A risk management perspective using cross‐country evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.
- Marcus Alexander Ong, 2015. "An information theoretic analysis of stock returns, volatility and trading volumes," Applied Economics, Taylor & Francis Journals, vol. 47(36), pages 3891-3906, August.
- Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
More about this item
Keywords
trading volume; heterogeneity of expectations; earnings announcement and experimental asset markets; volume de transactions; hétérogénéité des attentes; annonce des bénéfices; marchés d'actifs expérimentaux;All these keywords.
JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2007-12-01 (Experimental Economics)
- NEP-MST-2007-12-01 (Market Microstructure)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cir:cirwor:2007s-24. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Webmaster (email available below). General contact details of provider: https://edirc.repec.org/data/ciranca.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.