000			01772pab a2200205 454500
008			140923b0 xxu||||| |||| 00| 0 eng d
040			_cWelingkar Institute of Management Development & Research, Mumbai _aWelingkar Institute of Management Development & Research, Mumbai
041			_aENG
082			_a _bAkt
100			_aAktas Ramazan
245			_aTowards Predicting Financial Information Manipulation
250			_a7
260			_a _bJul 2007 _c0
300			_a38-52 Pp.
490			_v13
520			_aManipulation is one of the important issues in securities markets because manipulative actions send false signals to the investors and make them buy or sell securities they otherwise would not buy or sell. There are different types of manipulations that can deceive investors. One type of manipulation is financial information manipulation. Manipulators, who use this type of manipulation, distort information in the financial statements in order to give false information about the prospects of the issuing firms. This paper attempts to predict financial information manipulation by using the multivariate statistical techniques and neural networks. A number of financial ratios are used as explanatory variables. The multivariate statistical techniques used are discriminant analysis, logistics regression (logit), and probit. Unlike other studies, the present study takes multicollinearity between financial ratios into account and conclude that the estimated multivariate statistical models rather than the neural networks can be used as early warning systems to detect possible financial information manipulations.
650			_aFinancial Information Manipulation,
856			_uhttp://192.168.6.13/libsuite/mm_files/Articles/AR9115.pdf
906			_a26477
999			_c29006 _d29006