Which firms are more prone to stock market manipulation?
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.
References listed on IDEAS
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- 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.
- Arulampalam, Wiji & Stewart, Mark, 2007. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," IZA Discussion Papers 3039, Institute for the Study of Labor (IZA).
- Arulampalam, Wiji & Stewart, Mark B., 2008. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," The Warwick Economics Research Paper Series (TWERPS) 884, University of Warwick, Department of Economics.
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- Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
- 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.
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- 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. Full references (including those not matched with items on IDEAS)
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