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Python: End-to-end Data Analysis

You're reading from   Python: End-to-end Data Analysis Leverage the power of Python to clean, scrape, analyze, and visualize your data

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Product type Course
Published in May 2017
Publisher Packt
ISBN-13 9781788394697
Length 931 pages
Edition 1st Edition
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Authors (5):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
Martin Czygan Martin Czygan
Author Profile Icon Martin Czygan
Martin Czygan
Magnus Vilhelm Persson Magnus Vilhelm Persson
Author Profile Icon Magnus Vilhelm Persson
Magnus Vilhelm Persson
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Toc

Chapter 7. Selecting Stocks with Financial Data Analysis

In this chapter, we will cover the following recipes:

  • Computing simple and log returns
  • Ranking stocks with the Sharpe ratio and liquidity
  • Ranking stocks with the Calmar and Sortino ratios
  • Analyzing returns statistics
  • Correlating individual stocks with the broader market
  • Exploring risk and return
  • Examining the market with the non-parametric runs test
  • Testing for random walks
  • Determining market efficiency with autoregressive models
  • Creating tables for a stock prices database
  • Populating the stock prices database
  • Optimizing an equal weights two-asset portfolio

Introduction

Finance deals with many subjects, such as money, saving, investing, and insurance. In this chapter, we will focus on stock investing because stock price data is abundant. According to academic theory, an average investor should not invest in individual stocks, but in whole markets, for instance, a basket of stocks representing large companies within a country. Economists...

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