Books & Courses for Quantitative Finance | Highlights and Annotations by Gistr.

This video provides a list of recommended books and online courses for learning quantitative finance. The suggested resources cover mathematics (calculus, linear algebra, differential equations, probability, statistics), econometrics, time series analysis, programming (Python), machine learning, and specific finance topics (fixed income, option pricing, portfolio theory). Both textbooks and online courses (including YouTube channels) are included. * 1. Mathematics Fundamentals: * Learning Sequence: * Calculus: Review calculus concepts (differential and integral calculus) using Thomas' Calculus. * Prerequisites: High school-level mathematics. * 2. Finance-Specific Mathematics: * Differential Equations: Study ordinary and partial differential equations (textbooks listed in video description). * Stochastic Calculus: Study Stochastic Calculus for Finance (Parts 1 & 2) by Steven Shreve. This will apply calculus concepts to finance, particularly option pricing and portfolio theory. * Probability and Statistics: Use textbooks listed in the video description. * Linear Algebra: Learn linear algebra using Gilbert Strang's textbook. Supplement with 3Blue1Brown's YouTube videos for visualization. * Advanced Econometrics: Progress to more advanced econometrics (e.g., Greene's Econometrics). * 4. Programming and Machine Learning: * 3. Econometrics and Time Series Analysis: * Time Series Analysis: Learn time series analysis using a finance-focused textbook (e.g., the one mentioned in the video description). * Introductory Econometrics: Begin with an introductory econometrics textbook (e.g., by Jeff Wooldridge). Supplement with StatQuest YouTube videos. * Machine Learning: Study machine learning, focusing on applications in finance. Use the books and Udacity course mentioned in the video description. * 5. Finance Specific Topics: * Fixed Income: Study fixed income concepts, valuation, etc., using Frank Fabozzi's book. * Python Programming: Learn Python programming using the books listed in the video description. * Option Pricing: Learn option pricing using John Hull's book. * Consistent Study: Dedicate regular time to studying each topic. * Practice Suggestions: * Quantitative Finance Overview: Use Paul Wilmott's three-volume book series for a comprehensive overview. * Problem Solving: Work through numerous problems and exercises in each textbook. * Portfolio Theory and Asset Pricing: Use CFA Level 1 materials (books and/or courses) to learn about the Capital Asset Pricing Model (CAPM) and portfolio management. * Active Recall: Regularly test yourself on the material to reinforce learning. * Online Courses: Supplement textbook learning with online courses (MIT OpenCourseware, Coursera, etc.). * Hands-on Projects: Complete the hands-on machine learning projects from Udacity or similar platforms. * Real-World Application: Try to apply the concepts learned to real-world financial data and problems.