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Which firms are more prone to stock market manipulation?

  • Imisiker, Serkan
  • Tas, Bedri Kamil Onur

This study empirically investigates which firms are more susceptible to successful manipulation. For this purpose, a unique data set consisting of manipulation cases from 1998 to 2006 from the Istanbul Stock Exchange (ISE) was collected and firm-specific variables are used to explain these manipulations. Probit regression results show that small firms, firms with less free float rate and a higher leverage ratio are more prone to stock price manipulation. Dynamic probit analysis concludes that the probability of manipulation of a stock is significantly higher for stocks that have been previously manipulated.

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File URL: http://www.sciencedirect.com/science/article/pii/S1566014113000356
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Article provided by Elsevier in its journal Emerging Markets Review.

Volume (Year): 16 (2013)
Issue (Month): C ()
Pages: 119-130

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Handle: RePEc:eee:ememar:v:16:y:2013:i:c:p:119-130
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620356

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  1. Mark Stewart, 2006. "Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors," Stata Journal, StataCorp LP, vol. 6(2), pages 256-272, June.
  2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
  3. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
  4. Merrick, John Jr & Naik, Narayan Y. & Yadav, Pradeep K., 2005. "Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze," Journal of Financial Economics, Elsevier, vol. 77(1), pages 171-218, July.
  5. Alfonso Miranda, 2007. "Dynamic probit models for panel data: A comparison of three methods of estimation," United Kingdom Stata Users' Group Meetings 2007 11, Stata Users Group.
  6. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
  7. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
  8. Itay Goldstein & Alexander Guembel, 2008. "Manipulation and the Allocational Role of Prices," Review of Economic Studies, Oxford University Press, vol. 75(1), pages 133-164.
  9. Franklin Allen & Lubomir Litov & Jianping Mei, 2006. "Large Investors, Price Manipulation, and Limits to Arbitrage: An Anatomy of Market Corners," Review of Finance, European Finance Association, vol. 10(4), pages 645-693, December.
  10. Jiang, Guolin & Mahoney, Paul G. & Mei, Jianping, 2005. "Market manipulation: A comprehensive study of stock pools," Journal of Financial Economics, Elsevier, vol. 77(1), pages 147-170, July.
  11. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-29.
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