This paper comprehensively investigates the role of realized jumps detected from high frequency data in predicting future volatility from both statistical and economic perspectives. Using seven major jump tests, we show that separating jumps from diffusion improves volatility forecasting both...

We propose a least squares regression framework for the estimation of the realized covariation matrix using high frequency data. The new estimator is robust to market microstructure noise (MMS) and non-synchronous trading. Comprehensive simulation and empirical analysis show that our estimator...

We empirically investigate the role of prospect theory in the foreign exchange market. Using the historical distribution of exchange rate changes, we construct a currency-level measure of prospect theory value and find that it negatively forecasts future currency excess returns. High prospect...