Bias and Evaluation
Look-ahead, survivorship, selection, overfitting, optimistic fills, missing costs, and repeated testing can manufacture attractive historical performance.
Central questions
- Was every input available at the simulated decision time?
- Which choices were made after inspecting evaluation results?
- Does reported uncertainty include parameter and model selection?
Planned model
Introduce common biases one at a time into a strategy with no true edge and show how each changes reported returns, risk, and significance.