June 2017
Beginner
586 pages
12h 37m
English
Overview
Are you eager to delve into the synergy of finance and programming? 'Python for Finance' empowers you to combine Python's programming capabilities with financial models and quantitative analysis techniques. This book guides you through Python fundamentals and specialized libraries to build models for time-series analysis, portfolio theory, and more.
What this Book will help me do
- Gain familiarity with Python programming and its relevance to financial modeling.
- Use NumPy, SciPy, Pandas, and Matplotlib for implementing quantitative finance concepts.
- Master Monte Carlo simulation techniques to assess portfolio risks and opportunities.
- Construct and analyze financial models including VaR, CAPM, and multifactor risk models.
- Develop and price both standard and exotic options using Python's computational power.
Author(s)
The author, an expert in quantitative finance and Python programming, brings a wealth of experience from both the financial and tech industries. As a dedicated educator, they have taught numerous courses on applying Python to real-world finance challenges. Their passion and expertise ensure the book is both practical and engaging.
Who is it for?
Tailored for finance professionals and enthusiasts, this book is ideal for those with a basic understanding of Python but new to the rigorous concepts of quantitative finance. It also suits aspiring financial analysts and data scientists aiming to leverage Python in their workflows. Readers will find practical insights and actionable knowledge to enhance their careers.
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