Behavioural patterns as determinants of market movements: evidence from an emerging market

References

• Ansari , AM and Lin , FC . 1994 . Forecasting financial trends in stock markets with neural networks in Proceedings of the 3rd International Conference on Systems Integration (ICSI’ 94), 15–19 August 1994, Sau Paulo, pp. 188–96
   Google Scholar
• Baker , M and Wurgler , J . 2000 . The equity share in new issues and aggregate stock returns . Journal of Finance , 55 : 2219 – 57 .
   Web of Science ®Google Scholar
• Barberis , N and Thaler , RH . 2002 . “ A survey of behavioral finance ” . In Handbook of the Economics of Finance , Edited by: Constantinides , G , Harris , M and Stulz , R . Vol. 1B , 1052 – 121 . North Holland, Amsterdam : Elsevier .
   Google Scholar
• Campbell , JY and Shiller , RJ . 1988 . Stock prices, earnings, and expected dividends . Journal of Finance , 43 : 661 – 76 .
   Web of Science ®Google Scholar
• Chen , NF , Ross , R and Ross , S . 1986 . Economic forces and the stock market . Journal of Business , 59 : 383 – 404 .
   Web of Science ®Google Scholar
• Claessens, S., Djankov, S. and Klingebiel, D. (2000) Stock market in transition economies, Financial Sector Discussion Paper No. 5, The World Bank, Washington, DC.
   Google Scholar
• Fama , E and French , KR . 1988 . Dividend yields and expected stock returns . Journal of Financial Economics , 22 : 3 – 25 .
   Web of Science ®Google Scholar
• Goyal , A and Welch , I . 2006 . A comprehensive look at the empirical performance of equity premium predictions Working Paper No. 04-11, International Center for Finance, Yale School of Management, New Haven. Available at http://ssrn.com/abstract=517667 (accessed 29 October 2010)
   Google Scholar
• Hair , J , Anderson , R , Tatham , R and Black , W . 1998 . Multivariate Data Analysis, , 5th , Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Hamid , S and Iqbal , Z . 2004 . Using neural networks for forecasting volatility of S&P 500 index future prices . Journal of Business Research , 57 : 1116 – 25 .
   Web of Science ®Google Scholar
• Hornik , K , Stinchcombe , M and White , H . 1989 . Multi-layered feedforward networks are universal approximators . Neural Networks , 2 : 359 – 66 .
   Web of Science ®Google Scholar
• Huang , W , Nakamori , Y and Wang , S . 2005 . Forecasting stock market movement direction with support vector machine . Computers and Operations Research , 32 : 2513 – 22 .
   Web of Science ®Google Scholar
• Hutchinson , J , Andrew , W and Poggio , T . 1994 . A nonparametric approach to pricing and hedging derivative securities via learning networks . Journal of Finance , 49 : 851 – 89 .
   Web of Science ®Google Scholar
• Jagric , T and Podbregar , M . 2004 . Chaos and order in capital markets – the case of a small transition economy . Our Economy , 50 : 94 – 105 .
   Google Scholar
• Jagric , T , Podobnik , B and Kolanovic , M . 2005 . Does the efficient market hypothesis hold? . Eastern European Economics , 43 : 79 – 103 .
   Web of Science ®Google Scholar
• Korobow , L and Stuhr , DP . 1991 . Using cluster analysis as a tool for economic and financial analysis Research Paper No. 9132, Federal Reserve Bank of New York, New York, NY
   Google Scholar
• Kothari , SP and Shanken , J . 1997 . Book-to-market time series analysis . Journal of Financial Economics , 44 : 169 – 203 .
   Web of Science ®Google Scholar
• Kovacic, Z. (2007) Forecasting volatility: evidence from Macedonian stock exchange. Available at http://mpra.ub.uni-muenchen.de/5319/ (accessed 29 October 2010).
   Google Scholar
• Kumar , K and Bhattacharya , S . 2006 . Artificial neural network versus linear discriminant analysis in credit ratings forecast: a comparative study of prediction performances . Review of Accounting and Finance , 5 : 216 – 27 .
   Google Scholar
• Malik , F and Nasereddin , M . 2006 . Forecasting output using oil prices: a cascaded artificial neural network approach . Journal of Economics and Business , 58 : 168 – 80 .
   Google Scholar
• Nofsinger, J. R. (2003) Social mood and financial economics. Available at http://www.google.si/url?sa=t&source=web&cd=1&ved=0CBgQFjAA&url=http%3A%2F%2Fzonecours.hec.ca%2Fdocuments%2FE2005-1-395070.Texte19-30-253-00-E05-SocialMood....pdf&ei=73DRTLbcNMnLswbAwJysCw&usg=AFQjCNEPeh56Y3xNyQ5bqi-1t-_Vp95Hig (accessed 15 November 2010).
   Google Scholar
• Pontiff , J and Schall , LD . 1998 . Book-to-market ratios as predictors of market returns . Journal of Financial Economics , 49 : 141 – 60 .
   Web of Science ®Google Scholar
• Rangvid , J . 2006 . Output and expected returns . Journal of Financial Economics , 81 : 595 – 624 .
   Web of Science ®Google Scholar
• Simoneti, M., Damijan, J. P. and Gregoric, A. (2001) Does ownership pay? The efficiency of managerial ownership in Slovenian post-privatization period. Available at http://www.cerge-ei.cz/pdf/gdn/RRCIV_35_paper_02.pdf (accessed 29 October 2010).
   Google Scholar
• Stansell , S and Eakins , S . 2004 . Forecasting the direction of change in sector stock indexes: an application of neural networks . Journal of Asset Management , 5 : 37 – 48 .
   Google Scholar
• Trinkle , B . 2005 . Forecasting annual excess stock returns via an adaptive network-based fuzzy inference system . Intelligent System in Accounting, Finance, and Management , 13 : 165 – 77 .
   Google Scholar
• Twersky , A and Kahneman , D . 1986 . Rational choice and the framing of decisions . Journal of Business , 59 : S251 – 78 .
   Google Scholar