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Agenda 
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Detalls del llibre
- Self-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader's research or as a reference for courses on empirical finance.
- Each chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copy-pasting the code we provide.
- A full-fledged introduction to machine learning with tidymodels based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methods.
- Chapter 2 on accessing & managing financial data shows how to retrieve and prepare the most important datasets in the field of financial economics: CRSP and Compustat. The chapter also contains detailed explanations of the most important data characteristics.
- Each chapter provides exercises that are based on established lectures and exercise classes and which are designed to help students to dig deeper. The exercises can be used for self-studying or as source of inspiration for teaching exercises.
- Autors Christoph Scheuch, Stefan (Universitat Hamburg) Voigt, Patrick Weiss
- ISBN13 9781032389332
- ISBN10 1032389338
- Pàgines 250
- Any Edició 2026
- Fecha de publicación 18/05/2026
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Has llegit Tidy Finance with R?
Novetat Tidy Finance with R
- De
- Christoph Scheuch, Stefan (Universitat Hamburg) Voigt, Patrick Weiss
- |
- ROUTLEDGE (2026)
- 9781032389332
200,12€
210,65€
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200,12€
210,65€
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