Abstract
This study analyzes the complete trading records, as well as the detailed individual-level survey responses of 76,172 retail investors to examine the relative importance of many factors that are associated with the disposition effect, which involves the tendency to take gains too early while holding on to losses. Feature selection techniques unveil that gender, loss aversion, and investor sophistication are the keys to grasping the disposition effect.
| Original language | English |
|---|---|
| Article number | 102040 |
| Journal | Finance Research Letters |
| Volume | 44 |
| DOIs | |
| State | Published - Jan 2022 |
Keywords
- Disposition effects
- Feature selection
- Machine learning
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