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dc.contributor.authorYa-Chi Huang
dc.date.accessioned2020-08-25T07:55:27Z-
dc.date.available2020-08-25T07:55:27Z-
dc.date.issued2014/07/01
dc.identifier.issnissn18190917
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2376/2710-
dc.description.abstractA number of theoretical studies have explained the existence of arbitrage opportunity with so called “noise traders” (e.g., De Long et al., 1990; Shleifer and Vishny, 1997; Abreu and Brunnermeier, 2002). In fact, noise traders can create the arbitrage opportunity because they are quite influential in these papers. However, by taking endowments into consideration, the large numbers of noise traders in real markets are not necessarily sufficiently influential. Moreover, theoretical papers assume that investors, apart from the noise traders, have perfect foresight, which is also far away from the situation in real financial markets. By relaxing the strong assumptions of a representative agent and perfect foresight in economics, this paper unravels the puzzle of the existence of arbitrage opportunity based on an agent-based artificial stock market.
dc.description.sponsorship逢甲大學
dc.language.iso英文
dc.relation.ispartofseries經濟與管理論叢
dc.relation.ispartofseries第10卷第2期
dc.subjectnoise traders
dc.subjectarbitrage opportunity
dc.subjectAgent-Based Computational Modeling
dc.subjectSanta Fe Artificial Stock Market
dc.subjectGenetic Algorithms
dc.titleRe-Exploring the Existence of Arbitrage Opportunity with an Agent-based Artificial Stock Market
dc.type期刊篇目
分類:第 10卷第2期

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