not sure whether you have actually said anything in this post.
Volatility cannot be reliably predicted, period. All you can do is build models that show relative mispricings in assets and trade one versus the others. Its far from arbitrate as a lot of direct and residual risks remain. History repeats itself but in ever changing lengths and velocity of cycles. Thats why there are very few proprietary pure vol traders who have scored big but a number of heavy hitting sell-side market making vol traders.
Not sure what benefit all that quant lingo serves, but I have market-made exotic rate derivs, market made swaptions, then later traded index and single stock vol prop, it always comes down to the same: On the market making side "know ya relative mispricings and flow", on the prop side "know the dynamics of the underlying in and out". I have not seen how any, no matter how sophisticated, french vol models ever guaranteed a dime trading vol on the prop side.
Volatility cannot be reliably predicted, period. All you can do is build models that show relative mispricings in assets and trade one versus the others. Its far from arbitrate as a lot of direct and residual risks remain. History repeats itself but in ever changing lengths and velocity of cycles. Thats why there are very few proprietary pure vol traders who have scored big but a number of heavy hitting sell-side market making vol traders.
Not sure what benefit all that quant lingo serves, but I have market-made exotic rate derivs, market made swaptions, then later traded index and single stock vol prop, it always comes down to the same: On the market making side "know ya relative mispricings and flow", on the prop side "know the dynamics of the underlying in and out". I have not seen how any, no matter how sophisticated, french vol models ever guaranteed a dime trading vol on the prop side.
Quote from lionfish42:
VIX - yikes...
What to say that hasn't already been said.
I have several issues with the VIX as a method of predictive statistical volatility.
1. While they have changed the model, it is certainly not reflective of the actual increase in skew. It is possible, to see an increase in the skew while the mean stays the same. The market would be indicating higher volatility, yet the VIX could very well be unchanged.
2. The model also assumes a normal distribution curve, but we all know that is not the case - hence part of the skew adjustments try to make up for this difference.
My theory (as whacked as it may sound) is that volatility is in two states, like in physics - the matter vs. anti-matter. Volatility has a net total amount - which is partially reflected in implied prices - but the rest of is in an anti state. The velocity, acceleration, and jerk from the anti-state to the real state is based on how far volatility is over or under invested in.
Fair value in this case is the perfect measurement between implied expectations vs. statistical outcome.
It is WE the traders (investors) that over and under vest in volatility - through fear and greed (for lack of a better terms). The book (market maker) adjusts accordingly to order flow.
Being able to measure the two states of volatility and the 3 derivatives of position - I would assume - give us a better gauge of over and under vest value vs. "fair" value.
It is something I have been f'n around in our think tank - I welcome any thoughts...