Tidy Finance with R

Chapters on important applications and methodologies in finance, reproducible figures, tables, and codes, and an introduction to machine learning with tidymodels for factor selection and option pricing. Exercises based on established lectures and exercise classes for self-studying or teaching.

Format: Paperback / softback
Length: 250 pages
Publication date: 05 April 2023
Publisher: Taylor & Francis Ltd

This comprehensive textbook offers a thorough and up-to-date introduction to the field of empirical finance, covering a wide range of important applications and methodologies. Designed for both readers seeking research insights and students enrolled in courses on empirical finance, the book is organized into self-contained chapters that provide a clear and concise overview of key topics.

Each chapter is carefully crafted to be reproducible, allowing readers to replicate every figure, table, or number by simply copy-pasting the provided code. This feature makes the book an invaluable resource for both research and educational purposes, as it enables readers to delve deeper into the topics and analyze the data with ease.

In addition to its practical value, the textbook offers a comprehensive introduction to machine learning with tidymodels, based on tidy principles. This approach demonstrates how factor selection and option pricing can benefit from Machine Learning methods, providing valuable insights for financial professionals and researchers alike.

Chapter 2, titled "Accessing and Managing Financial Data," provides a comprehensive guide on how to retrieve and prepare the most important datasets in the field of financial economics. The chapter covers topics such as CRSP (Compustat Research System) and Compustat, explaining their key characteristics and providing detailed explanations of the data. This chapter is particularly useful for students who need to access and analyze financial data for their research or coursework.

To further enhance the learning experience, each chapter includes a range of exercises that are based on established lectures and exercise classes. These exercises are designed to help students dig deeper into the topics and apply the knowledge gained in the book. Whether used for self-studying or as a source of inspiration for teaching exercises, these exercises are an invaluable resource for students seeking to enhance their understanding of empirical finance.

Overall, this textbook is an essential resource for anyone interested in empirical finance, offering a comprehensive and up-to-date introduction to the field, along with practical insights and reproducible examples. Whether you are a student, researcher, or financial professional, this book will provide you with the tools and knowledge you need to succeed in your endeavors.

Weight: 420g
Dimension: 155 x 233 x 17 (mm)
ISBN-13: 9781032389349