In this paper I examine whether one can use analyst forecasts of macroeconomic variables to improve investors ex-ante allocation of wealth between stocks and bonds. Such forecasts provide a forward-looking approach which I find improves investor's information set for the myopic stock-bond...

Crises have cleansing effects: Low-quality firms face greater financial shortfalls and invest less than high-quality firms. Public liquidity support preserves the overall production capacity. However, by dampening the cleansing effects, it distorts the quality distribution and reduces the total...

We show that the difference between the natural rate of interest and the current level of monetary policy stance, which we label Convergence Gap (CG), contains information that is valuable for bond predictability. Adding CG in forecasting regressions of bond excess returns significantly raises...

We propose a Nelson-Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying...

This paper proposes a procedure for testing alternative specifications of the short term interest rate's dynamics which takes into account that according to some restrictions the interest rate is nonstationary, i.e. the traditional test statistic has a non-standard distribution. Moreover, we do...

We suggest using "realized volatility" as a volatility proxy to aid in model-based multivariate bond yield density forecasting. To do so, we develop a general estimation approach to incorporate volatility proxy information into dynamic factor models with stochastic volatility. The resulting...

We provide an extreme value analysis of the returns of Bitcoin. A particular focus is on the tail risk characteristics and we will provide an in-depth univariate extreme value analysis. Those properties will be compared to the traditional exchange rates of the G10 currencies versus the US...

This paper examines the importance of realized volatility in bond yield density prediction. We incorporate realized volatility into a Dynamic Nelson-Siegel (DNS) model with stochastic volatility and evaluate its predictive performance on US bond yield data. When compared to popular...

The co-movement of US sovereign rates suggests a long-run equilibrium relationship.Traditional cointegrated systems need to assume that interest rates are unit roots and thus implying non-stationary and non-mean-reverting dynamics. We postulate and estimate a fractional cointegrated model...

This paper examines the macro-spanning hypothesis for bond returns in international markets. Based on a large panel of real-time macro variables that are not subject to revisions, wefind that global macro factors have predictive power for bond returns unspanned by yield factors.Furthermore, we...