| 来源类型 | Working Paper
|
| 规范类型 | 报告
|
| DOI | 10.3386/w19500
|
| 来源ID | Working Paper 19500
|
| A Sharper Ratio: A General Measure for Correctly Ranking Non-Normal Investment Risks |
| Kent Smetters; Xingtan Zhang
|
| 发表日期 | 2013-10-04
|
| 出版年 | 2013
|
| 语种 | 英语
|
| 摘要 | While the Sharpe ratio is still the dominant measure for ranking risky assets, a substantial effort has been made over the past three decades to find a way to account for non-Normally distributed risks. This paper derives a generalized ranking measure which, under a regularity condition, correctly ranks risks relative to the original investor problem for a broad probability space. Moreover, like the Sharpe ratio, the generalized measure maintains wealth separation for the broad HARA utility class. Besides being effective in the presence of "fat tails," the generalized measure is also a foundation for multi-asset class portfolio optimization due to its ability to pairwise rank two risks following two different probability distributions. This paper also explores the theoretical foundations of risk ranking, including proving a key impossibility theorem: any ranking measure that is valid for non-Normal distributions cannot generically be free from investor preferences. Finally, this paper shows that the generalized ratio provides substantially more ranking power than simpler approximation measures that have sometimes been used in the past to account for non-Normal higher moments, even if those approximations are extended to include an infinite number of higher moments. |
| 主题 | Financial Economics
; Portfolio Selection and Asset Pricing
|
| URL | https://www.nber.org/papers/w19500
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/577173
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推荐引用方式
GB/T 7714 |
Kent Smetters,Xingtan Zhang. A Sharper Ratio: A General Measure for Correctly Ranking Non-Normal Investment Risks. 2013.
|
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