Name
Abstract | ||
|---|---|---|
Stock selection by Sharp ratio is considered in the framework of multiple statistical hypotheses testing theory. The main attention is paid to comparison of Holm step down and Hochberg step up procedures for different loss functions. Comparison is made on the basis of conditional risk as a function of selection threshold. This approach allows to discover that properties of procedures depend not only on relationship between test statistics, but also depend on dispersion of Sharp ratios. Difference in error rate between two procedures is increasing when the concentration of Sharp ratios is increasing. When Sharp ratios do not have a concentration points there is no significant difference in quality of both procedures. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27926-8_3 | MOD |
Field | DocType | Citations |
Discrete mathematics,Computer science,Algorithm,Sharpe ratio | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander P. Koldanov | 1 | 10 | 2.71 |
| Valeriy A. Kalyagin | 2 | 14 | 3.99 |
| Panos M. Pardalos | 3 | 3720 | 397.84 |