A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...

This article investigates the statistical and economic implications of adaptive forecasting of exchange rates with panel data and alternative predictors. The candidate exchange rate predictors are drawn from (i) macroeconomic ‘fundamentals’, (ii) return/volatility of asset markets and (iii)...

We show that technical indicators deliver economic value in predicting the U.S. equity premium. A crucial element of this value stems from the stability of return predictability over the full sample period from 1950 to 2013. Results tentatively improve over time and beat alternatives over...