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Python for Finance Cookbook – Second Edition

You're reading from Python for Finance Cookbook – Second Edition Over 80 powerful recipes for effective financial data analysis

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781803243191

Length 740 pages

Edition 2nd Edition

Languages

Python

Tools

Prophet

Concepts

Data Analysis

Author (1):

Eryk Lewinson

View More author details

Table of Contents (18) Chapters

Preface

1. Acquiring Financial Data FREE CHAPTER

2. Data Preprocessing

3. Visualizing Financial Time Series

4. Exploring Financial Time Series Data

5. Technical Analysis and Building Interactive Dashboards

6. Time Series Analysis and Forecasting

7. Machine Learning-Based Approaches to Time Series Forecasting

8. Multi-Factor Models

9. Modeling Volatility with GARCH Class Models

10. Monte Carlo Simulations in Finance

11. Asset Allocation

12. Backtesting Trading Strategies

13. Applied Machine Learning: Identifying Credit Default

14. Advanced Concepts for Machine Learning Projects

15. Deep Learning in Finance

16. Other Books You May Enjoy

17. Index

Index

Symbols

3 Month T-bill

using, from FRED database 281, 282

13 Week T-bill

using 280, 281

A

absolute percent error (APE) 261

accuracy paradox 568

Adaptive Moment Estimation (Adam) 656

Adaptive Synthetic Sampling (ADSYN) 564

drawbacks 564

additive model 144

Akaike Information Criterion (AIC) 156, 190

allowable leverage 402-405

alpha 5, 377

Alpha Vantage

data, obtaining from 16-20

reference link 21

altair

reference link 69

American options

pricing, with Least Squares Monte Carlo 353-356

pricing, with QuantLib 357-361

analysis of variance (ANOVA) 610

anchored walk-forward validation 207

antithetic variates 346

ARCH effect 104

ARCH model 306

stock returns’ volatility, modeling with 306-311

area under the ROC curve (AUC) 512

ARIMA (Autoregressive Integrated Moving Average) 305

ARIMA class models

reference links 189

time series, modeling with 176...

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Authors (1)

Eryk Lewinson

Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.

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