Why is an inverted yield-curve slope such a powerful predictor of future recessions? We show that a decomposition of the yield curve slope into its expectations and risk premia components helps disentangle the channels that connect fluctuations in Treasury rates and the future state of the...

This paper examines the information content of two different measures of aggregate equity-market order flow for future macro fundamentals and expected stock market returns. The first measure, the cross-sectional average of individual stock order flows, predicts future growth rates for industrial...

Why is an inverted yield-curve slope such a powerful predictor of future recessions? We show that a decomposition of the yield curve slope into its expectations and risk premia components helps disentangle the channels that connect fluctuations in Treasury rates and the future state of the...

Why is an inverted yield-curve slope such a powerful predictor of future recessions? We show that a decomposition of the yield curve slope into its expectations and risk premia components helps disentangle the channels that connect fluctuations in Treasury rates and the future state of the...

The risk premium puzzle is even worse than previously reported if housing is also taken into consideration next to equity. While housing premia are only moderately smaller than equity premia, they are significantly less volatile and the Sharpe ratio of housing is significantly larger. Hence,...

This paper presents a framework to undertake likelihood-based inference in nonlinear dynamic equilibrium economies. The authors develop a sequential Monte Carlo algorithm that delivers an estimate of the likelihood function of the model using simulation methods. This likelihood can be used for...

In this paper, we propose a new method to forecast macroeconomic variables that combines two existing approaches to mixed-frequency data in DSGE models. The first existing approach estimates the DSGE model in a quarterly frequency and uses higher frequency auxiliary data only for forecasting...

In this paper, we propose a new method to forecast macroeconomic variables that combines two existing approaches to mixed-frequency data in DSGE models. The first existing approach estimates the DSGE model in a quarterly frequency and uses higher frequency auxiliary data only for forecasting...

We evaluate the reliability of credit gap measures estimated over time samples of different lengths. We augment our empirical analysis (which turned out to be somewhat inconclusive) with Monte Carlo experiments. For this purpose we build an agent-based model that realistically reproduces credit...

This paper examines whether macroeconomic instability can influence stock market volatility in a sample of 5 emerging European countries. To account for the effects of fundamentals, modified ARCH/GARCH models are employed. The results are discordant from one country to another, but when a...