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[其他] Python for Finance - Second Edition   [推广有奖]

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igs816 在职认证  发表于 2017-7-5 21:26:23 |显示全部楼层 |坛友微信交流群
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English | 2017 | ISBN-10: 1787125696 | 586 pages | PDF (conv) + code | 3.9 M

Learn and implement various Quantitative Finance concepts using the popular Python libraries
About This Book
Understand the fundamentals of Python data structures and work with time-series data
Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib
A step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to finance
Who This Book Is 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.

What You Will Learn
Become acquainted with Python in the first two chapters
Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models
Learn how to price a call, put, and several exotic options
Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options
Understand the concept of volatility and how to test the hypothesis that volatility changes over the years
Understand the ARCH and GARCH processes and how   to write related Python programs
In Detail
This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it.

This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance.

The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures.

This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM's market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.

Style and approach
This book takes a step-by-step approach in explaining the libraries and modules in Python, and how they can be used to implement various aspects of quantitative finance. Each concept is explained in depth and supplemented with code examples for better understanding.

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关键词:Finance Edition dition Financ python

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kingjor 发表于 2017-7-5 21:34:12 |显示全部楼层 |坛友微信交流群
看看这本书

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duoduoduo 在职认证  发表于 2017-7-5 21:43:26 |显示全部楼层 |坛友微信交流群
嗯,好的
只一个好书,需要好好看

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hyq2003 发表于 2017-7-5 21:45:26 |显示全部楼层 |坛友微信交流群

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西门高 发表于 2017-7-5 21:47:41 |显示全部楼层 |坛友微信交流群
谢谢分享

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voodoo 发表于 2017-7-5 21:54:09 |显示全部楼层 |坛友微信交流群
Python for Finance - Second Edition,

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elephann 发表于 2017-7-5 21:54:19 |显示全部楼层 |坛友微信交流群
Python for Finance

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谢谢分享

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hjtoh 发表于 2017-7-5 22:17:27 来自手机 |显示全部楼层 |坛友微信交流群
igs816 发表于 2017-7-5 21:26
English | 2017 | ISBN-10: 1787125696 | 586 pages | PDF (conv) + code | 3.9 M

Learn and implemen ...
体积好小

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MouJack007 发表于 2017-7-5 22:19:56 |显示全部楼层 |坛友微信交流群
谢谢楼主分享!

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