I love cars (actually I find engineering in general fascinating). When I was about eight I was watching a Formula One race and the commentators mentioned that the current car was a big improvement over that of the year before. I remember vividly that this struck me as odd. If the same people made the improved car, why didn’t they just make that version first? Whether this thought was unusually astute or just stupid isn’t the point here. The point is that we can’t improve until we have something to improve on. We don’t just learn from mistakes, we also improve on our successes. The first issue of “ Volatility Trading ” came out in 2008 and the much expanded second edition was released in 2013. I still firmly believe in the process I wrote about: find an edge, size appropriately, execute, evaluate, repeat. I also (typos aside) believe in the individual theories about volatility measurement, forecasting, hedging and sizing. But I have drastically changed my mind about the rel...
To be able to trade volatility we need to understand it, particularly the interplay between clustering and mean reversion. Most of the predictability of volatility is due to one of these two features.