With the COVID-19 pandemic, the intense debate about secular stagnation will become even more important. Empirical estimates of equilibrium real interest rates are so far mostly limited to advanced economies, since no statistical procedure suitable for a large set of countries is available. This...

We examine the causal relationship between US monetary policy shocks, exchange rates and currency excess returns for a sample of eight advanced countries over the period 1980M1 to 2022M11. We find that the dynamics of the US dollar exchange rate is the main driver of currency excess returns. The...

We modify the Laubach-Williams and Holston-Laubach-Williams models of the natural rate of interest to account for time-varying volatility and a persistent COVID supply shock during the pandemic. Resulting estimates of the natural rate of interest in the United States, Canada, and the Euro Area...

This paper estimates the factors underlying the volatility of the euro overnight interest rate and its transmission along the euro area money market yield curve. A new multivariate unobserved components model is proposed allowing for both long-memory and stationary cyclical dynamics. Using...

In this paper we propose a new methodology to estimate the volatility of interest rates in the euro area money market. In particular, our approach aims at avoiding the limitations of currently available measures, i.e. the dependency on arbitrary choices in terms of maturity and frequencies...

In this paper, we apply the ARMA-GARCH model to Hong Kong real estate market. We analyzed the monthly data of housing, office retail and factories from February 1993 to February 2019. The result of ARCH LM test indicates that volatility clustering is shown in there four kinds of real estate. The...

We show that the class of linear-rational square-root (LRSQ) model is able to match the cross section of yields and the time variability of conditional yield volatility simultaneously. Models in this class are, in this regard, able to break the tension noted for the affine term structure models...

We apply a multivariate multiplicative error model (MMEM) and investigate effects in the simultaneous processes of high-frequency return volatilities, trading volume, and trading intensities on the Italien Electronic Interbank Credit Market (e-MID). Analysing five minutes data from the Italian...

We derive a Bayesian prior from a no-arbitrage affine term structure model and use it to estimate the coefficients of a vector autoregression of a panel of government bond yields, specifying a common time-varying volatility for the disturbances. Results based on US data show that this method...