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: Hardback
Length: 250 pages
Publication date: 05 April 2023
Publisher: Taylor & Francis Ltd

This comprehensive textbook offers a thorough 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 concise and accessible coverage of key topics.

Each chapter is designed to be reproducible, allowing readers to replicate every figure, table, or number by simply copy-pasting the code provided. This feature makes the book highly practical for research purposes and for use as a reference in courses.

The book begins with a comprehensive introduction to machine learning, using tidymodels based on tidy principles to demonstrate how factor selection and option pricing can benefit from Machine Learning methods. Chapter 2, on accessing and managing financial data, provides a detailed guide on how to retrieve and prepare the most important datasets in financial economics, such as CRSP and Compustat. The chapter also includes detailed explanations of the most important data characteristics, ensuring that readers have a solid understanding of the underlying data.

Throughout the book, each chapter includes exercises that are based on established lectures and exercise classes. These exercises are designed to help students deepen their understanding of the topics covered and to apply the knowledge gained in a practical setting. The exercises can be used for self-studying or as source material for teaching exercises, making the book an invaluable resource for both students and professionals in the field of empirical finance.

In conclusion, this textbook offers a comprehensive and up-to-date introduction to the field of empirical finance, providing readers with a solid foundation in key applications and methodologies. With its reproducible chapters, practical examples, and exercises, the book is an invaluable resource for researchers, students, and professionals seeking to advance their knowledge in this dynamic and rapidly evolving field.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032389332