Time series correlation measures the relationship between two time-series data sets. It compares two sets of time series data over time and determines the extent to which they vary together. Time series correlation can range from -1 to 1, where -1 indicates a strong negative relationship, 0 indicates no relationship, and 1 indicates a strong positive relationship. This measure is often used in finance and economics to assess the relationship between different market variables, such as stock prices and interest rates. It can also be used in other fields, such as meteorology and engineering, to analyze data that changes over time.
Correlation analysis is a powerful tool in financial market analysis, helping investors to better understand the interdependence of different assets. But what happens when an unprecedented global pandemic like COVID-19 shakes up the market? In this tutorial, we will show you how to create a correlation matrix in Python that will help you visualize the … Read more
