Abstract
The effects of higher-order risk aversion on optimal cross-sectional portfolio choice are investigated using portfolio optimization with Stochastic Dominance constraints. Tractable sufficient conditions for higher-degree dominance are introduced that take the form of a system of linear inequalities. Existing studies of active equity industry rotation are extended from lower degrees to higher degrees of dominance. Fourth-degree dominance assumes that investors are ‘prudent’ and ‘temperate’ and therefore like skewness and dislike kurtosis. Using this dominance criterion leads to superior out-of-sample investment performance, by allowing for more concentration in recent winner industries which tend to show persistent positive abnormal returns and a favorable higher-order risk profile due to the industry-level price momentum effect.
| Original language | English |
|---|---|
| Article number | 106429 |
| Journal | Journal of Banking and Finance |
| Volume | 137 |
| DOIs | |
| Publication status | Published - Apr 2022 |
| Externally published | Yes |
Funding
Fang gratefully acknowledges financial support by the National Natural Science Foundation of China (Grant No. 71871104).
Keywords
- Active portfolio management
- Higher-order risk
- Linear programming
- Portfolio choice
- Portfolio optimization
ASJC Scopus subject areas
- Finance
- Economics and Econometrics
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