This note explores machine learning based modelling approach over classical quantitative methods with a focus on modelling realized volatility of asset price over time. Initially, a few modelling assumptions of classical quantitative finance are examined using recent market data. Daily stock...

We find that hedge funds’ ETF option positions predict cross-sectional differences in the future volatility of underlying ETFs. The predictive power is strongest for straddle positions and non-equity ETFs. A tracking portfolio of straddles based on funds’ straddle positions earns quarterly...

Subsistence farmers in low income countries are confronted with multiple risks. Hence, small scale farmers have developed several strategies to cope with weather related risks in order to self-insure against weather risks. Recent developments on global food markets have increased food price...

We lay out an empirical and a theoretical model to analyze the effects of non-fundamental exchange rate volatility on economic activity and welfare. In the first part of the paper, the GARCH-SVARmodel is applied to measure empirically the effect of the conditional exogenous exchange rate...