0361537 20240103195407.220110913235959.9 13 s. cav_un_epca*02930251212-074X1828 (2011)53-65 neural networks vector ARMA artificial market cav_un_auth*0256729 Krtek Jiří Ekonometrie Department of Econometrics E E UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101230 Vošvrda Miloslav Ekonometrie Department of Econometrics E E UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/E/krtek-comparing neural networks and arma models in artificial stock market.pdf GD402/09/H045 GA ČR cav_un_auth*0253998 CEZ:AV0Z10750506 Neural networks - feed-forward neural networks and Elman's simple recurrent neural networks - are compared with vector ARMA models - VAR and VARMA - in this paper. They are compared in anartifical stock market. One risk free and one risky asset are traded in the market. There are only trend followers in this model, which use the mentioned models for forecasting change of a price of the risky asset and the dividend. traded in the market 2012 AH 2 http://hdl.handle.net/11104/0198831 2011 cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 18 č. 28 2011 53 65