This paper analyzes the field of investors’ decision-making on a multi-asset market. It does it through a simulation games on a social network framework. It has been demonstrated that more stocks there are in the game and more changing alternatives investors have available to choose from, tougher it is for them to make decisions. Despite in most simulations the safest alternative was dominant, many investors opt for portfolio of the safest and the riskiest stock, by which they back the risk they take with some safe stocks. Non-omniscient investors behave chaotically. In all the cases, liquidity agents proved to be decisive elements of the games, though not always able to deliver the information of all the alternatives when too many alternatives are available.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
15898.
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 D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
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