Python for Finance
Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.
Offered by
Difficulty Level
Intermediate
Completion Time
19h32m
Language
English
About Book
Who Is This Book For?
This book assumes that the readers have some basic knowledge related to Python. However, he/she has no knowledge of quantitative finance. In addition, he/she has no knowledge about financial data.
Python for Finance
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 19h32m total length
Python basics
Introduction to Python Modules
Time value of money
Sources of Economics/finance/accounting data
Bond and stock evaluations
Capital Asset Pricing Model
Multifactor models and performance measures
Time Series Analysis
Portfolio Theory
Options and Futures
VaR (Value at Risk)
Monte Carlo Simulation
Credit Risk Analysis
Exotic Options
Volatility, implied volatility, ARCH and GARCH
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