Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/78004


Title: Genetic programming and the efficient market hypothesis
Authors: Chen, Shu-Heng;Yeh, Chia-Hsuan
陳樹衡;葉佳炫
Contributors: 經濟學系
Date: 1996-07
Issue Date: 2015-08-27 17:33:46 (UTC+8)
Abstract: While search plays an important role in the efficient market hypothesis (EMH), the traditional formalization of the EMH, based on probabilistic independence, fails to capture it. Due to this failure, recent findings of nonlinear tests misled us into concluding that the EMH is rejected. Even though most economists are reluctant to make this conclusion, the traditional formalization leaves us no other choice. This paper reformalizes the EMH with a biologically-based search program, i.e., genetic programming (GP). The GP-based search enables us to model search in the EMH explicitly. Through this, serach cost as well as search intensity can be measured objectively, and the notion of predictability and profitability can then be formalized. The GP-based notion of the EMH will be exemplified by testing the EMH with a small, medium and large sample of the S&P 500 stock index.
Relation: Proceedings of the 1st annual conference on genetic programming,45-53
Data Type: conference
Appears in Collections:[經濟學系] 會議論文

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