学习量化金融的最佳书籍

The best books to learn quantitative finance

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Are you looking for some great books to add to your Quantitative Finance Reading List? Then you've come to the right place. In this article, we will recommend you several practical books to help you master the basic knowledge in the field of quantitative finance. While these books may not cover all the information you need to work quantitatively, they are proven learning resources that can support you on your learning journey.

The quantitative finance books recommended in this article will cover two major areas:

1. Machine Learning and Algorithmic Trading: Learn how to develop computational trading strategies based on machine learning or other algorithms.

2. Derivatives and Volatility Trading: Understand the types of financial derivatives and their basic trading strategies.

Machine Learning and Algorithmic Trading Books

Application of machine learning in algorithmic trading

Author: Stefan Jansen Publisher: Packt Publishing Limited Publication Year: 2020 Introduction: This book is specially designed for novices in the quantitative field, especially readers who are unfamiliar with Python and algorithmic trading. It explains in detail how to use Python (combined with libraries such as scikit-learn, Tensorflow and backtrader) to design and apply supervised learning, unsupervised learning and reinforcement learning algorithms to trading strategies. The book also covers the processing, cleaning, and manipulation of market data, fundamental data, alternative data, and financial news data, as well as how to use cutting-edge natural language processing and deep learning strategies to develop tradable signals. This book focuses on the practical application of algorithmic trading, rather than esoteric theories and complex mathematical formulas, and aims to help readers master practical Python skills in the field of quantitative finance.

If you are new to the quantitative field and are new to Python and algorithmic trading, this book is ideal for you. The author Jansen explains the following in detail in the book:

• How to design supervised learning, unsupervised learning and reinforcement learning algorithms using Python and apply them to trading strategies. You will also learn and master some popular Python libraries such as scikit-learn, Tensorflow, and backtrader.
• How to process, clean and manipulate market, fundamental, alternative and financial news data and apply it to trading strategies.
• How to apply cutting-edge Natural Language Processing and deep learning strategies to develop tradeable signals.

Overall, this book is an excellent choice if you are interested in a resource that focuses more on the application of algorithmic trading than on esoteric theoretical background and complex mathematical formulas. In addition, the Python skills you learn in this book will be of great use in the field of quantitative finance. However, the books we’ll cover next will explore more about the theoretical background behind each machine learning algorithm.

Introduction to Statistical Learning / Basics of Statistical Learning

Authors: Trevor Hastie, Robert Tibshirani, Jerome Friedman Publisher: Springer Publication Year: 2009 Content Introduction: "Introduction to Statistical Learning" (ISLR) and "Essentials of Statistical Learning" (EOSL) are classic works for learning the basic concepts of statistics and machine learning. Among them, "Essentials of Statistical Learning" (EOSL) explores the mathematical principles behind machine learning models in more depth, covering linear regression and its optimization methods (such as variable selection and penalty/shrinkage methods), as well as detailed explanations of building more complex models (such as random forests, neural networks, and graph-based models). This book provides an overview of the advantages and disadvantages of parametric and non-parametric supervised/unsupervised learning methods and their application to the bias-variance trade-off. The concepts covered in the book often appear in quantitative finance interviews, and practical codes in R language are provided to help readers apply the concepts learned in practice.

"Introduction to Statistical Learning" (ISLR) and "Essentials of Statistical Learning" (EOSL) are both excellent books for learning the basic concepts of statistics and machine learning. While ISLR is more geared towards undergraduates with basic knowledge of statistics, EOSL is more in-depth and explores the mathematics behind machine learning models in detail. Here’s what you’ll learn in EOSL:

• Linear Regression, and how to optimize via variable selection techniques and penalty/shrinkage methods.
• Detailed instruction on building more complex models such as random forests, neural networks, and graph-based models.
• An overview of parametric vs. non-parametric supervised/unsupervised learning methods, and their pros and cons in the bias-variance trade-off.

The concepts covered in these two books often come up in quantitative finance interviews, so they can be very useful as study guides. In addition, both books provide practical code in R language to help you ensure that you can truly apply the various concepts you learn.

Derivatives and Volatility Trading Books

Options, Futures and Other Derivatives

Author: John C. Hull Publisher: Pearson Publication year: 2018 Content Introduction: Known as the "Bible" in the field of quantitative finance, "Options, Futures and Other Derivatives" has detailed content and an in-depth discussion of many basic financial concepts that quantitative practitioners need to master. This book covers the basic concepts of futures contracts, understanding options, the roles of hedgers and arbitrageurs, as well as futures hedging strategies and options trading and pricing strategies. In addition, the book details a variety of derivative types, including credit derivatives, interest rate derivatives, energy derivatives, and commodity derivatives. Whether it is to check for gaps or to study in depth, this book can be used as an indispensable reference tool in the field of quantitative finance.

"Options, Futures and Other Derivatives" is known as the "Bible" in the field of quantitative finance and is highly respected by professionals. This book is detailed and covers a wide range of topics, and reading the entire book requires a significant investment of time. However, Hull's book delves into many fundamental financial concepts that are critical for anyone interested in pursuing a career in quants. Here are some of the core topics covered in the book:

• Master the basic concepts of futures contracts, understand what options are, and understand the roles of hedgers and arbitrageurs.
• Understand futures hedging strategies, as well as options trading and pricing strategies.
• Learn about the many types of derivatives, including credit derivatives, interest rate derivatives, energy derivatives and commodity derivatives.

Overall, this quantitative finance book is rich in content and introduces many basic financial concepts and their application in quantitative finance in a simple and easy-to-understand way. Whether you are checking for gaps or filling in gaps, or studying in depth, this book can become an indispensable reference tool for you.

Option Volatility and Pricing: Advanced Trading Strategies and Techniques

Author: Sheldon Natenberg Publisher: McGraw-Hill Year of Publication: 1994 Content Introduction: This book is considered to be one of the most accessible quantitative finance books on options. It starts with the basic knowledge of options and gradually guides readers to master advanced trading strategies. The book covers the theoretical basis of options, dynamic hedging strategies, volatility trading strategies, as well as how to conduct risk analysis and effectively manage various positions. Its highlight is that it cleverly avoids the complex mathematical formulas commonly found in other financial books, providing the details needed to understand the core concepts while leaving room for readers to explore areas of interest in depth.

This book is one of the most accessible quantitative finance books on options available. In the book, Natanberg starts with the basic knowledge of options and gradually guides readers to master advanced strategies for options trading. What you will learn:

• Basics of options theory, dynamic hedging strategies, and volatility trading strategies.
• How to conduct risk analysis and effectively manage various positions. The highlight of this book is that it cleverly avoids the complex mathematical formulas commonly found in other financial books. In this way, it provides just the right amount of detail needed to understand the core concepts while leaving room for readers to explore areas of interest in depth.

Dynamic Hedging

Author: Nassim Nicholas Taleb Publisher: John Wiley & Sons Year of Publication: 1997 Introduction: As one of Nassim Nicholas Taleb's most popular books, "Dynamic Hedging" provides an in-depth exploration of options hedging and arbitrage strategies from the perspective of professional traders and money managers. This book helps readers understand the markets, instruments, and players that make up the financial ecosystem, learn how to measure option risk using the Black-Scholes model and other methods, and master techniques for evaluating option risk and trading and hedging exotic options. The book is rich in content and practical, unlike "Options, Futures and Other Derivatives" which is too esoteric and provides readers with practical risk management methods.

Dynamic Hedging is one of Nassim Nicholas Taleb's most popular books. Taleb is a mathematical statistician and former options trader, and the author of several best-selling books such as "Stakes at Stake" and "Antifragile." In Dynamic Hedging, Taleb takes an in-depth look at options hedging and arbitrage strategies from the perspective of a professional trader and money manager. Here are some things this book can bring you:

• Understand the markets, instruments and players that make up the financial ecosystem.
• Learn how to measure option risk using the Black-Scholes model and other methods.
• Learn how to evaluate options risk and learn techniques for trading and hedging exotic options.

Overall, this book is informative and practical, but not overly esoteric like Options, Futures, and Other Derivatives. If you are already a Taleb fan, this book will be an enjoyable reading experience.

Final note

I hope these books and resources on quantitative finance can help you on your quantitative journey.