caa a22 4500 445839791 CHVBK 20180317145340.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00186-010-0344-z doi (NATIONALLICENCE)springer-10.1007/s00186-010-0344-z Almost sure Nash equilibrium strategies in evolutionary models of asset markets [Elektronische Daten] [W. Bahsoun, I. Evstigneev, L. Xu] We consider a stochastic model of a financial market with long-lived dividend-paying assets and endogenous asset prices. The model was initially developed and analyzed in the context of evolutionary finance, with the main focus on questions of "survival and extinction” of investment strategies. In this paper we view the model from a different, game-theoretic, perspective and examine Nash equilibrium strategies, satisfying equilibrium conditions with probability one. Springer-Verlag, 2011 Stochastic games nationallicence Evolutionary finance nationallicence Capital growth theory nationallicence Random dynamical systems nationallicence Bahsoun W. School of Mathematics, Loughborough University, LE11 3TU, Leicestershire, UK aut Evstigneev I. Economics Department, University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut Xu L. Economics Department, University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut Mathematical Methods of Operations Research Springer-Verlag 73/2(2011-04-01), 235-250 1432-2994 73:2<235 2011 73 186 https://doi.org/10.1007/s00186-010-0344-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00186-010-0344-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bahsoun W. School of Mathematics, Loughborough University, LE11 3TU, Leicestershire, UK aut NATIONALLICENCE 700 1- Evstigneev I. Economics Department, University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut NATIONALLICENCE 700 1- Xu L. Economics Department, University of Manchester, Oxford Road, M13 9PL, Manchester, UK aut NATIONALLICENCE 773 0- Mathematical Methods of Operations Research Springer-Verlag 73/2(2011-04-01), 235-250 1432-2994 73:2<235 2011 73 186 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer