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Hands-On Python for Finance
Krish Naik
March 2019




Book Description

Python is one of the most popular languages used for quantitative finance. With this book, you'll explore the key characteristics of Python for finance, solve problems in finance, and understand risk management.

The book starts with major concepts and techniques related to quantitative finance, and an introduction to some key Python libraries. Next, you'll implement time series analysis using pandas and DataFrames. The following chapters will help you gain an understanding of how to measure the diversifiable and non-diversifiable security risk of a portfolio and optimize your portfolio by implementing Markowitz Portfolio Optimization. Sections on regression analysis methodology will help you to value assets and understand the relationship between commodity prices and business stocks. In addition to this, you'll be able to forecast stock prices using Monte Carlo simulation. The book will also highlight forecast models that will show you how to determine the price of a call option by analyzing price variation.You'll also use deep learning for financial data analysis and forecasting. In the concluding chapters, you will create neural networks with TensorFlow and Keras for forecasting and prediction.

By the end of this book, you will be equipped with the skills you need to perform different financial analysis tasks using Python.

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2019-4-6 11:48:53 上传

Hands-on Python for Finance
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What You Will Learn

• Clean financial data with data preprocessing
• Visualize financial data using histograms, color plots, and graphs
• Perform time series analysis with pandas for forecasting
• Estimate covariance and the correlation between securities and stocks
• Optimize your portfolio to understand risks when there is a possibility of higher returns
• Calculate expected returns of a stock to measure the performance of a portfolio manager
• Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow
  

Table of Contents 1: PYTHON FOR FINANCE 101

2: GETTING STARTED WITH NUMPY, PANDAS, AND MATPLOTLIB

3: TIME SERIES ANALYSIS AND FORECASTING

4: MEASURING INVESTMENT RISKS

5: PORTFOLIO ALLOCATION AND MARKOWITZ PORTFOLIO OPTIMIZATION

6: THE CAPITAL ASSET PRICING MODEL

7: REGRESSION ANALYSIS IN FINANCE

8: MONTE CARLO SIMULATIONS FOR DECISION MAKING

9: OPTION PRICING - THE BLACK SCHOLES MODEL

10: INTRODUCTION TO DEEP LEARNING WITH TENSORFLOW AND KERAS

11: STOCK MARKET ANALYSIS AND FORECASTING CASE STUDY

12: WHAT IS NEXT?

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关键词：Finance Financ python Hands Finan

A practical guide to implementing financial analysis strategies using Python

What We  Will Learn:
Clean financial data with data preprocessing
Visualize financial data using histograms, color plots, and graphs
Perform time series analysis with pandas for forecasting
Estimate covariance and the correlation between securities and stocks
Optimize your portfolio to understand risks when there is a possibility of higher returns
Calculate expected returns of a stock to measure the performance of a portfolio manager
Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow
About the author
Krish Naik works as a lead data scientist, pioneering in machine learning, deep learning,and computer vision, and is an artificial intelligence practitioner, an educator, and a mentor, with over 7 years' experience in the industry. He also runs a YouTube channel where he explains various topics on machine learning, deep learning, and AI with many real-world problem scenarios. He has implemented various complex projects involving complex financial data with predictive modeling, machine learning, text mining, and sentiment analysis in the healthcare, retail, and e-commerce domains. He has delivered over 30 tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums.

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hifinecon 发表于 2019-4-6 11:51
I've just bought it from the publisher. Share with everyone interested in Python and Finance.
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改变能改变的，接受不能改变的，放下执念，拥有即幸福，失去即随缘。世事从来不能尽如人意，所求越少，心越简单，就会越快乐。


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