forecasting underlying mkt vol, from modeling of greeks 'term structure' or cumulative measure
Posted: Tue Jun 18, 2019 8:02 pm
What research topics might be good starting points to consider the feasibility of forecasting volatility in the underlying market? I know that many traders model the 3D distribution of option greeks vs expiry & moneyness/strike and apply other factors in the overall model to forecast, so this is a question of those other factors.
I've read through 2 papers which researchers at Nomura/NCI wrote with mentions of cumulative gamma by-strike, and postulate some 'if-touched' barrier/boundary scenarios where if the UL breaches a level where this cum. gamma has the highest sum, the volatility is very likely to rise as participants adjust positions. Seems similar to 'sticky-delta' like Derman and others have talked about.
Obviously not expecting any secrets to be spilled here, but getting some interesting thoughts on ancillary factors for modeling implied market sentiment beyond IV would be useful convo.
Using the past 12 months of price data for HH nat gas futures as an example would be cool
I know the fin news talked about that foolhardy fellow who ran an 'options selling'/short-vol subscription service, but while that may well have exacerbated the upside vol given a decent aggregate position, that was just a side effect.
I've read through 2 papers which researchers at Nomura/NCI wrote with mentions of cumulative gamma by-strike, and postulate some 'if-touched' barrier/boundary scenarios where if the UL breaches a level where this cum. gamma has the highest sum, the volatility is very likely to rise as participants adjust positions. Seems similar to 'sticky-delta' like Derman and others have talked about.
Obviously not expecting any secrets to be spilled here, but getting some interesting thoughts on ancillary factors for modeling implied market sentiment beyond IV would be useful convo.
Using the past 12 months of price data for HH nat gas futures as an example would be cool