The VIX index is something I always thought was interesting. I looked at it pretty frequently. I was introduced to it during some classes at Penn, and learned more about it through a data science for finance course I took a while ago. Market fear is a decent way to put it, but I don't think it expresses what is under the hood for its mathematical expression. I decided it would be a good exercsie to derive this calculation to better understand the nature of the index, but also as a way to communicate how I interpret the components of the derivation to explain the intution behind its formula. The VIX (Volatility Index) formally measures expected market volatility over the next 30 days using S&P 500 option prices. Here, we break down the derivation into parts to better understand each component. This breakdown assumes some mathematical maturtiy and some finance knowledge, specifically put-call parity. I talked about put-call parity in my previous blog about Martingales.
Below is an interactive chart showing the relationship between the VIX (Volatility Index) and the S&P 500 over time. You can zoom in, hover over data points, and explore trends interactively.