The impact of stock spams on volatility
This article is dedicated to study the impact of stock spams through the analysis of the variations of volatility. Our sample contains 110 firms quoted on emerging market, namely the penny stock market. The results, based on event study methodology and Generalized Autoregressive Conditional Heteroscedastic (GARCH) modelling, show positive and significant changes in volatility; a widening of the variation (lowest price-highest price) was noticed following the consignment of messages by the spammers. The sending of stock spams affected the behaviour of investors, thus indicating that the spamming activity is a lucrative business.
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Volume (Year): 21 (2011)
Issue (Month): 13 ()
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- Koski, Jennifer Lynch, 1998. "Measurement Effects and the Variance of Returns after Stock Splits and Stock Dividends," Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 143-62.
- Robert S. Pindyck, 1983.
"Risk, Inflation, and the Stock Market,"
NBER Working Papers
1186, National Bureau of Economic Research, Inc.
- A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
- Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
- Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(02), pages 127-141, June.
- Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(03), pages 269-283, September.
- Giaccotto, Carmelo & Sfiridis, James M., 1996. "Hypothesis testing in event studies: The case of variance changes," Journal of Economics and Business, Elsevier, vol. 48(4), pages 349-370, October.
- French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
- Hanke, Michael & Hauser, Florian, 2008. "On the effects of stock spam e-mails," Journal of Financial Markets, Elsevier, vol. 11(1), pages 57-83, February.
- Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
- Sandy Campart & Étienne Pfister, 2008. "Course technologique et valeur boursière. Une étude d'événements basée sur l'industrie pharmaceutique," Revue économique, Presses de Sciences-Po, vol. 59(2), pages 307-329.
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