m?abstract_id2359380 Abstract: Motivated by extensive evidence that stock-return correlations are stochastic, we analyze whether the risk of correlation changes (affecting diversification benefits) may be priced. After a description of our model, we implement a dispersion trading in the EuroStoxx. The purpose was to anticipate the profit and to know when and how to reallocate assets according to the market conditions. There is however more elegant way to exploit this risk premium - the dispersion trading. Thus, taking these two products and taking opposite positions in the two, we try to achieve a hedging effect. Finally, we provide evidence that option-implied correlations have remarkable predictive power for future stock market returns, which also stays significant after controlling for a number of fundamental market return predictors.
Dispersion trading strategy
Institutional changes in the options market in late 19 provide a natural experiment to distinguish between these fx forward interest rate formula hypotheses. Furthermore, I look for the optimal weight of the two products in the strategy which gives us the return of the P L, volatility of the P L, and risk-return ratio of our preference. Among the conditional hedge strategy s conditioning variables we find that the level of the correlation risk factor and dispersion trade returns deliver the best results, while the cboe Implied Correlation Indices perform poorly. Deng: Volatility Dispersion Trading m?abstract_id1156620 Abstract: This papers studies an options trading strategy known as dispersion strategy to investigate the apparent risk premium for bearing correlation risk in the options market. Thus, having risk to another factor, the implied correlation of a dispersion trade is above (empirically, 10 points) the strike of the equivalent correlation swap.
In particular, I have automated the analysis through VBA in Excel. We also discuss the timing of the strategy and future developments and improvements.