Besides going over the course syllabus during the first day of class on Tuesday, August 24, we will also discuss a particularly important “real world” example of financial risk. Specifically, we will study the relationship between realized daily stock market returns (as measured by daily percentage changes in the SP500 stock market index) and changes in forward-looking investor expectations of stock market volatility (as indicated by daily percentage changes in the CBOE Volatility Index (VIX)):
As indicated by this graph (which also appears in the lecture note for the first day of class), daily percentage changes on closing prices for the SP500 (the y-axis variable) and for the VIX (the x-axis variable) are strongly negatively correlated with each other. The blue dots are based on 7,961 contemporaneous observations of daily returns for both variables, spanning the (more than 30-year) time period from January 2, 1990, through August 5, 2021. When we fit a regression line through this scatter diagram, we obtain the following equation:
where corresponds to the daily return on the SP500 index and corresponds to the daily return on the VIX index. The slope of this line (-0.11412) indicates that on average, daily realized SP500 returns during this time period were inversely related to contemporaneous daily returns on the VIX; i.e., when forward-looking investor expectations of stock market volatility fell (rose), then the stock market return as indicated by SP500 typically rose (fell). Nearly half of the variation in the stock market return during this time period (specifically, 48.68%) can be statistically “explained” by changes in volatility, and the correlation between and comes out to -0.698. While a correlation of -0.698 does not imply that and always move in opposite directions, it does suggest that this will be the case more often than not. Indeed, closing daily returns on and during this period moved inversely 78.66% of the time.
You can also see how the relationship between the SP500 and VIX evolves prospectively by entering http://finance.yahoo.com/quotes/^GSPC,^VIX into your web browser’s address field.