因子检验

Lesson Overview

In "Quant Strategy Development" → "因子构建", this lesson "因子检验" builds knowledge you can apply immediately.

因子检验区分预测关系和交易收益。IC可用因子与未来收益的相关度，需同一观察集合；单资产时间相关不等于横截面IC。 先定横截面或时间序列→对齐未来标签→清理缺失→算秩或线性相关→给样本量和稳定性，不只报峰值。 本课作业：三个资产因子排序1/2/3，未来收益排序3/2/1，秩相关是多少？能否称长期必亏？

Core Concepts

These points align with the video walkthrough—take notes as you watch.

• ▸因子检验区分预测关系和交易收益。IC可用因子与未来收益的相关度，需同一观察集合；单资产时间相关不等于横截面IC。
• ▸先定横截面或时间序列→对齐未来标签→清理缺失→算秩或线性相关→给样本量和稳定性，不只报峰值。
• ▸本课作业：三个资产因子排序1/2/3，未来收益排序3/2/1，秩相关是多少？能否称长期必亏？

Practical Application

After studying, complete the companion practice lesson to move from understanding to doing.

• ▸Follow along in Jupyter or VS Code
• ▸Log how parameter changes affect backtest results
• ▸Submit a reproducible analysis notebook

FAQ

• ▸Q: How does this lesson fit the course? A: Part of "因子构建"—follow the curriculum order.
• ▸Q: What do I need? A: Demo account and notes; quant lessons need a Python environment.
• ▸Q: How do I know I've mastered it? A: Pass the quiz and explain three key points of 因子检验 on your own.