/Quant-Books-Notes

Taking notes on Quantitative Finance books

Quant-Books-Papers-Notes

Taking notes on Quantitative Finance books

1. C++ Design Patterns and Derivatives Pricing

C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk, Series Number 2) 2nd Edition, by M. S. Joshi

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2. An Introduction to High-Frequency Finance

An Introduction to High-Frequency Finance, by Ramazan Gençay, et al.

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3. Elements of Programming Interviews in Python: The Insiders' Guide

Elements of Programming Interviews in Python: The Insiders' Guide Paperback – September 15, 2016, by Adnan Aziz, et al.

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4. Dynamic Hedging: Managing Vanilla and Exotic Options

Dynamic Hedging: Managing Vanilla and Exotic Options, by Taleb, Dec 31, 1996

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5. Volatility Trading

Volatility Trading, by Euan Sinclair

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6. Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition Paperback – July 31, 2020 by Stefan Jansen

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7. Quant Finance Recent Research Paper Reading Series

Notes to come..

8. Stochastic Volatility Modeling

Stochastic Volatility Modeling (Chapman and Hall/CRC Financial Mathematics Series) 1st Edition, by Lorenzo Bergomi

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9. Quant Job Interview Questions and Answers

Quant Job Interview Questions and Answers (Second Edition) – May 25, 2013 by Mark Joshi

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