Inference for the Difference of Two Independent KS Sharpe Ratios under Lognormal Returns
A higher-order likelihood-based asymptotic method to obtain inference for the difference between two KS Sharpe ratios when gross returns of an investment are assumed to be lognormally distributed is proposed. Theoretically, our proposed method has On−3/2 distributional accuracy, whereas conventional...
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| Main Authors: | J. Qi, M. Rekkas, A. Wong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2020/6751574 |
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