We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized...

This paper explores the time variation in the stock-bond correlation using high-frequency data. Gradual transitions between regimes of negative and positive stock-bond correlation are well accommodated by the smooth transition regression (STR) model. We find that the regimes are systematically...

This paper explores the time variation in the stock-bond correlation using high-frequency data. Gradual transitions between regimes of negative and positive stock-bond correlation are well accommodated by the smooth transition regression (STR) model. We find that the regimes are systematically...

This paper adopts quantile regressions to scrutinize the realized stock-bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers factors constructed from a large number of macro-finance predictors well-know from the return...

Performance of mutual fund selection methods is typically assessed using long samples (long time series). It is, however, very often of interest how well the methods perform in shorter samples. We carry out an extensive simulation study based on an empirically motivated skill distribution. For...

In this paper we show that the long-run stock and bond volatility and the long-run stock-bond correlation depend on macroeconomic uncertainty. We use the mixed data sampling (MIDAS) econometric approach. The findings are in accordance with the flight-to-quality phenomenon when macroeconomic...

We investigate long-run stock-bond correlation using a model that combines the dynamic conditional correlation model with the mixed-data sampling approach and allows long-run correlation to be affected by macro-finance factors (historical and forecasts). We use macro-finance factors related to...

This paper adopts factor models with macro-finance predictors to test the intertemporal risk-return relation for 13 European stock markets from 1986 to 2012. We filter out country specific, euro area, and US macro-finance factors from the conditional volatility and return to determine the...

We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized...

This paper adopts quantile regressions to scrutinize the realized stock-bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers a large number of macro-?nance predictors well-know from the return predictability literature. Strong...