Mitigating Volatility Drag Using Machine Learning Models
We observe that, while predicting returns remain difficult and uncertain, volatility exhibit more persistence and predictability due to well-known patterns such as volatility clustering (Mandelbrot, 1967). We test whether short-horizon volatility forecasts can be used to time leverage in a passive index strategy so as to mitigate the growth penalty from volatility drag in leveraged exchange-traded
