factor-construction

Community

Look-ahead bias safe factor construction rules.

AuthorAlexander-M-Dickerson
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This rule set prevents look-ahead bias (LAB) when forming cross-sectional factors. LAB means using information beyond the portfolio formation date — it silently inflates factor returns and invalidates results. It provides a structured audit to ensure signals are truly point-in-time.

Core Features & Use Cases

  • Audit & safeguards: A comprehensive LAB audit checklist to verify timing, universe, breakpoints, and rebalancing are anchored to formation dates.
  • Protocol for monthly and annual rebalancing: Clear templates for lead-returns, date-dating, and forward-return conventions to avoid leakage.
  • Compatibility with common factor frameworks: Guidelines for constructing long-short portfolios, delisting handling, and post-construction diagnostics.

Quick Start

Apply the factor-construction rules to your monthly or annual cross-sectional sorting workflows to ensure signals are time-stamped and returns are properly forward-dated.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: factor-construction
Download link: https://github.com/Alexander-M-Dickerson/ai-asset-pricing/archive/main.zip#factor-construction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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