Reading Python Guide to Accompany Introductory Econometrics for Finance

This free software guide for Python with freely downloadable datasets brings the econometric techniques to life, showing readers how to implement the approaches presented in Introductory Econometrics for Finance using this highly popular software package. Designed to be used alongside the main textbook, the guide will give readers the confidence and skills to estimate and interpret their own models while the textbook will ensure that they have a thorough understanding of the conceptual underpinnings. Guide draws on material from ‘Introductory Econometrics for Finance’, published by Cambridge University Press, Chris Brooks (2019) & is intended to be used alongside the book*; page numbers from the book are given after each section and subsection heading. Code and data sets are available at https://www.cambridge.org/gb/academic/subjects/economics/finance/introductory-econometrics-finance-4th-edition?format=PB&isbn=9781108422536 *https://library.bz/main/uploads/84D576786C2A3047E2974B05DF293A6E