Book Image

Python for Finance

By : Yuxing Yan
Book Image

Python for Finance

By: Yuxing Yan

Overview of this book

Table of Contents (20 chapters)
Python for Finance
About the Author
About the Reviewers

Chapter 8. Statistical Analysis of Time Series

Understanding the properties of financial time series is very important in finance. In this chapter, we will discuss many issues, such as downloading historical prices, estimating returns, total risk, market risk, correlation among stocks, correlation among different countries' markets from various types of portfolios, and a portfolio variance-covariance matrix; constructing an efficient portfolio and an efficient frontier; estimating Roll (1984) spread; and also estimating the Amihud (2002) illiquidity measure, and Pastor and Stambaugh's (2003) liquidity measure for portfolios. The two related Python modules used are Pandas and statsmodels.

In this chapter, we will cover the following topics:

  • Installation of Pandas and statsmodels

  • Using Pandas and statsmodels

  • Open data sources, and retrieving data from Excel, text, CSV, and MATLAB files, and from a web page

  • Date variable, DataFrame, and merging different datasets by date

  • Term structure of interest...