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1차 확률적 지배를 하는 포트폴리오 가중치의 탐색에 관한 연구An Algorithm to Optimize Portfolio Weights for the First Degree Stochastic Dominance

Other Titles
An Algorithm to Optimize Portfolio Weights for the First Degree Stochastic Dominance
Authors
류춘호
Issue Date
2003
Publisher
한국경영과학회
Keywords
Stochastic Dominance; Portfolio Selection; Nonlinear Programming
Citation
한국경영과학회지, v.28, no.1, pp.25 - 37
Journal Title
한국경영과학회지
Volume
28
Number
1
Start Page
25
End Page
37
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/26556
ISSN
1225-1119
Abstract
Unlike the mean-variance approach, the stochastic dominance approach is to form a portfolio that first-degree stochastically dominates a predetermined benchmark portfolio, e.g. KOSPI. Analytically defining the first derivative of the objective function, an optimal algorithm of nonlinear programming was developed to search a set of optimal weights systematically and tested with promising results against real data sets from Korean stock market.
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