We use macroeconomic characteristics and exposures to Carry and Dollar as instruments to estimate a latent factor model with time-varying betas with the instrumented principal components analysis (IPCA) method by Kelly et al. (2020). On a pure out-of-sample basis, this model can explain up to...

This paper analyzes the relationship between stock returns and exchange rate changes in international markets and examines how well exchange rate volatility explains movements in stock market returns. The model-based predictions are evaluated on several cost functions. Results from such analysis...

This paper investigates whether investor sentiment can explain stock return comovements. Our findings demonstrate that since the 1960s, there has been a clear and rapid increase in correlations between international equity markets. Decomposing the equity returns into fundamental and...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...

Two volatility forecasting evaluation measures are considered; the squared one-day ahead forecast error and its standardized version. The mean squared forecast error is the widely accepted evaluation function for the realized volatility forecasting accuracy. Additionally, we explore the...

ARFIMAX models are applied in estimating the intra-day realized volatility of the CAC40 and DAX30 indices. Volatility clustering and asymmetry characterize the logarithmic realized volatility of both indices. ARFIMAX model with time-varying conditional heteroscedasticity is the best performing...

This paper investigates whether investor sentiment can explain stock return comovements. Our findings demonstrate that since the 1960s, there has been a clear and rapid increase in correlations between international equity markets. Decomposing the equity returns into fundamental and...

The paper develops a Markov switching multifractal model with dynamic conditional correlations. The objective is to give more flexibility to the initial bivariate Markov switching multifractal model [MSM] (Calvet et al. (2006)) by introducing some time dependency in the comovement structure. The...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...