A social network has been used to simulate how agents of different levels of risk aversion under different circumstances behave in financial markets when deciding between risk-free and a risky asset. This is done by a discrete time version evolutionary game of risk-loving and risk-averse agents. The evolutionary process takes place on a social network through which investors acquire information they need to choose the strategy. A significant feature of the paper is that first-order stochastic dominance is a key determinant of the decision-making, while second-order stochastic dominance is not, with the level of omniscience and preferences of agents also having a significant role. Under most of the circumstances, pure risk-aversion turns out to be dominated strategy, while pure risk-taking “almost” dominant.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
13569.
Find related papers by JEL classification: G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions Z13 - Other Special Topics - - Cultural Economics - - - Social Norms and Social Capital; Social Networks Economic Anthropology C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
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Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997.
"A Model of Investor Sentiment,"
NBER Working Papers
5926, National Bureau of Economic Research, Inc.
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