PhD Course Review Notes

This repository contains a compact Jupyter Book for PhD course review and QE preparation.

Published site: https://yuning598.github.io/Notes/

Contents

• Asset Pricing: SDF, beta pricing, dynamic pricing, options, beliefs, and empirical return tests.
• Corporate Finance: capital structure, payout policy, corporate events, empirical design, and paper-based mechanisms.
• Econometrics: projection, IV, GMM, DiD, RD, panel methods, likelihood, and inference.
• Microeconomics: preferences, uncertainty, equilibrium, welfare, state prices, and information constraints.
• Problem Sets: course-level exam-style derivations, computations, and proof templates.

Repository Structure

• PhD-Course/book/: source files for the published book.
• PhD-Course/book/_toc.yml: sidebar structure.
• PhD-Course/book/_config.yml: Jupyter Book / Sphinx configuration.
• PhD-Course/book/intro.md: published landing page.
• PhD-Course/book/_static/ and PhD-Course/book/_ext/: local styling and Sphinx extensions used by the build.
• PhD-Course/pdf/: local PDF, slide, and exam material.