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.
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chapters • 19h32m total length
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