Ebook: Python Guide to Accompany Introductory Econometrics for Finance
Author: Ran Tao Chris Brooks
- Genre: Computers // Programming
- Tags: Python, Financial Econometrics, Finance Programming
- Year: 2019
- Publisher: ICMA Centre
- Edition: 4
- Language: English
- pdf
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
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
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