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Titlebook: Stochastic Dominance; Investment Decision Haim Levy Book 19981st edition Springer Science+Business Media New York 1998 Finance.Investment.

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发表于 2025-3-21 19:48:15 | 显示全部楼层 |阅读模式
书目名称Stochastic Dominance
副标题Investment Decision
编辑Haim Levy
视频video
丛书名称Studies in Risk and Uncertainty
图书封面Titlebook: Stochastic Dominance; Investment Decision  Haim Levy Book 19981st edition Springer Science+Business Media New York 1998 Finance.Investment.
描述This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: a) The stochastic dominance approach, developed on the foundation of von­ Neumann and Morgenstern‘ expected utility paradigm. 2 b) The mean-variance approach developed by Markowitz on the foundation of von-Neumann and Morgenstem‘s expected utility or simply on the assumption of a utility function based on mean and variance. c) The non-expected utility approach, focusing on prospect theory and its modi­ fied version, cumulative prospect theory. This theory is based on an experi­ mental finding that subjects participating in laboratory experiments often violate expected utility maximization: They tend to use · subjective probability beliefs that differ systematically from the objective probabilities and to base their decisions on changes in wealth rather than on total wealth. The above approaches are discussed and compared in this book. W e also discuss cases in which stochastic dominance rules coincide with the mean-variance rule and cases in which contradictions between these two approaches may occur. We then discuss the relationship between stochastic domin
出版日期Book 19981st edition
关键词Finance; Investment; Portfolio Selection; algorithms; decision making; distribution; diversification; econo
版次1
doihttps://doi.org/10.1007/978-1-4757-2840-8
isbn_ebook978-1-4757-2840-8Series ISSN 0926-972X
issn_series 0926-972X
copyrightSpringer Science+Business Media New York 1998
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On the Measurement of Risk,tle consensus. We would probably be offered diverse intuitive explanation, some quite colorful. Few would furnish a quantitative answer. Webster’s dictionary is hardly illuminating in this respect; among its definitions of risk we find:.
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Stochastic Dominance: The Quantile,e easily extended to the analysis of stochastic dominance among specific distributions of rates of return (e.g., lognormal distributions). Such extensions are quite difficult in the cumulative distribution framework.
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Expected Utility Theory, investment decision, the risk of the investment has to be weighed against its profitability. Thus, both profitability and risk have to be incorporated in the decision making process. We devote this chapter to the expected utility criterion that takes into account the whole distribution of returns (risk and return).
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Stochastic Dominance and Risk Measures,ss asset exists. Finally, we discuss the . (MPSA) which is a risk measure similar to the MPS but which corresponds to DARA risk-averse utility functions. Thus, the MPS corresponds to SSD and the MPSA corresponds to TSD.
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Decision Making and the Investment Horizon,sis of the investment horizon. In this chapter we investigate the extent to which the stochastic dominance efficient sets as well as other widely used portfolio analyses depend on the selected investment horizons.
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Book 19981st editionnce approach, developed on the foundation of von­ Neumann and Morgenstern‘ expected utility paradigm. 2 b) The mean-variance approach developed by Markowitz on the foundation of von-Neumann and Morgenstem‘s expected utility or simply on the assumption of a utility function based on mean and variance
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