Answer: can be characterized as data snooping.

## Explanation This scenario describes **data snooping**, which occurs when: **Key Characteristics:** - Multiple strategies/models are tested - Selection is based purely on statistical significance (lowest p-value) - No consideration of economic rationale or prior theory - High risk of finding spurious relationships due to multiple testing **Why this is data snooping:** 1. **Multiple testing problem**: Testing 5 factors creates multiple opportunities to find statistically significant results by chance 2. **P-hacking**: Selecting based on lowest p-value without theoretical justification 3. **Overfitting**: The strategy may work well in-sample but fail out-of-sample **Why not other biases:** - **Survivorship bias**: Not applicable - this involves using only surviving entities in analysis - **Look-ahead bias**: Not applicable - the analyst used point-in-time data, which avoids this bias **Best Practice:** - Use economic theory to guide factor selection - Apply out-of-sample testing - Use proper multiple testing corrections - Consider economic significance, not just statistical significance **Conclusion:** This approach represents classic data snooping behavior.

Author: LeetQuiz Editorial Team