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Forecasting Stock Price Manipulation in Capital Market

Authors: F. Rahnamay Roodposhti, M. Falah Shams, H. Kordlouie

Abstract:

The aim of the article is extending and developing econometrics and network structure based methods which are able to distinguish price manipulation in Tehran stock exchange. The principal goal of the present study is to offer model for approximating price manipulation in Tehran stock exchange. In order to do so by applying separation method a sample consisting of 397 companies accepted at Tehran stock exchange were selected and information related to their price and volume of trades during years 2001 until 2009 were collected and then through performing runs test, skewness test and duration correlative test the selected companies were divided into 2 sets of manipulated and non manipulated companies. In the next stage by investigating cumulative return process and volume of trades in manipulated companies, the date of starting price manipulation was specified and in this way the logit model, artificial neural network, multiple discriminant analysis and by using information related to size of company, clarity of information, ratio of P/E and liquidity of stock one year prior price manipulation; a model for forecasting price manipulation of stocks of companies present in Tehran stock exchange were designed. At the end the power of forecasting models were studied by using data of test set. Whereas the power of forecasting logit model for test set was 92.1%, for artificial neural network was 94.1% and multi audit analysis model was 90.2%; therefore all of the 3 aforesaid models has high power to forecast price manipulation and there is no considerable difference among forecasting power of these 3 models.

Keywords: Liquidity, Price Manipulation, Size of Company, Floating Stock, Information Clarity

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329717

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References:


[1] Mei, J., G. Wu, and C. Zhou, Behavior Based Manipulation: Theory and Prosecution Evidence. NYU Working Paper, 2003.
[2] Jarrow, R.A., Market Manipulation, Bubbles, Corners, and Short Squeezes. The Journal of Financial and Quantitative Analysis 1992. 27: p. 311-336.
[3] Allen, F. and D. Gale, Stock-Price Manipulation. The Review of Financial Studies, 1992. 5(3): p. 503-529.
[4] Aggarwal, R.K. and G. Wu, Stock Market Manipulation - Theory and Evidence. Working Paper, 2004.
[5] Mahoney, P.G., The stock pools and the Securities Exchange Act. Journal of Financial Economics, 1999. 51(3): p. 343-369.
[6] Jarrow, R.A., Derivative Security Markets, Market Manipulation, and Option Pricing Theory. The Journal of Financial and Quantitative Analysis 1994. 29: p. 241-261.
[7] Merrick, J.J., N.Y. Naik, and P.K. Yadav, Market Quality and Trader Behavior in a Manipulated Market: Anatomy of a Squeeze. EFA 2002 Berlin Meetings Presented Paper 2002.
[8] Bagnoli, M. and B.L. Lipman, Stock Price Manipulation Through Takeover Bids. The RAND Journal of Economics 1996. 27: p. 124-147.
[9] Deb, S.S., P.S. Kalev, and V.B. Marisetty, Are price limits really bad for equity markets? Journal of Banking & Finance. 34(10): p. 2462-2471.
[10] Blume, M., S. Luckner, and C. Weinhardt, Fraud detection in playmoney prediction markets. Inf Syst E-Bus Manage, 2010. 8: p. 395-413.
[11] Hintermann, B., Market Power, Permit Allocation and Efficiency in Emission Permit Markets. Environmental and Resource Economics, 2010.
[12] Lo, A.W.Y., R.M.K. Wong, and M. Firth, Can corporate governance deter management from manipulating earnings? Evidence from relatedparty sales transactions in China. Journal of Corporate Finance, 2010. 16: p. 225-235.
[13] Takayama, S., A dynamic strategy of the informed trader with market manipulation. Ann Finance, 2010. 6: p. 287-294.
[14] Comerton-Forde, C. and T.J. Putninš, Pricing accuracy, liquidity and trader behavior with closing price manipulation. Experimental Economics, 2011. 14: p. 110-131.
[15] Comerton-Forde, C. and T.J. Putnins, Measuring closing price manipulation. Journal of Financial Intermediation, 2011. 20(2): p. 135- 158.
[16] Palshikar, G.K. and M.M. Apte, Collusion set detection using graph clustering. Data Min Knowl Disc, 2008. 16: p. 135-164.
[17] Garvey, G.T., S. Grant, and S.P. King, Talking down the firm: Shortterm market manipulation and optimal management compensation. International Journal of Industrial Organization, 1998. 16(5): p. 555-570.
[18] Hanke, M. and F. Hauser, On the effects of stock spam e-mails. Journal of Financial Markets, 2008. 11(1): p. 57-83.
[19] Hanson, R., R. Oprea, and D. Porter, Information aggregation and manipulation in an experimental market. Journal of Economic Behavior & Organization, 2006. 60(4): p. 449-459.
[20] Cai, B.M., C.X. Cai, and K. Keasey, Which trades move prices in emerging markets?: Evidence from China's stock market. Pacific-Basin Finance Journal, 2006. 14(5): p. 453-466.
[21] Khwaja, A.I. and A. Mian, Unchecked intermediaries: Price manipulation in an emerging stock market. Journal of Financial Economics, 2005. 78(1): p. 203-241.
[22] Chakraborty, A. and B. Yilmaz, Informed manipulation. Journal of Economic Theory, 2004. 114(1): p. 132-152.
[23] Chan, K., N. Jegadeesh, and T. Sougiannis, The Accrual Effect on Future Earnings. Review of Quantitative Finance and Accounting, 2004. 22: p. 97-121.
[24] Palumbo, G., Optimal duplication of effort in advocacy systems. Journal of Economic Behavior & Organization, 2006. 60(1): p. 112-128.
[25] Gersbach, H. and M. M├╝ller, Flexible pensions for politicians. Public Choice, 2010. 145: p. 103-124.
[26] Sartzetakis, E.S., Raising Rivals- Costs Strategies via Emission Permits Markets. Review of Industrial Organization, 1997. 12: p. 751-765.
[27] Knetsch, J.L., F.-F. Tang, and R.H. Thaler, The Endowment Effect and Repeated Market Trials:Is the Vickrey Auction Demand Revealing? Experimental Economics, 2001. 4: p. 257-269.
[28] Ruiz-Conde, E., P.S.H. Leeflang, and J. E.Wieringa, Marketing variables in macro-level diffusion models. Journal f├╝r Betriebswirtschaft, 2006. 56: p. 155-183.
[29] Holley, D., Market Manipulation - The Focus on Prevention. Heinonline, 1993.