This paper extends Galí and Gertler’s (1999) new hybrid KeynesianPhillips curve to the open economy context. We hypothesise that pricing decisionsdepend on both labour costs and intermediate imported input prices. The results forHong Kong are consistent with the theory if import prices are...

Existing studies generally reject purchasing power parity (PPP) on datasets from countries that have been affected by large real shocks, including Norway. However, we offer strong evidence of PPP between Norway and its trading partners during the post-Bretton Woods period, in which the Norwegian...

The Fed's policy rule switches during the different phases of the business cycle. This finding is established using a dynamic mixture model to estimate regime-dependent Taylor-type rules on US quarterly data from 1960 to 2021. Instead of exogenously partitioning the data based on tenures of the...

This paper investigates model risk issues in the context of mean-variance portfolio selection. We analytically and numerically show that, under model misspecification, the use of statistically robust estimates instead of the widely used classical sample mean and covariance is highly beneficial...

We propose a new multivariate GARCH model with Dynamic Conditional Correlations that extends previous models by admitting multivariate thresholds in conditional volatilitiesand correlations. The model estimation is feasible in large dimensions and the positive definiteness of the conditional...

We propose two alternative models to estimate fundamental prices on real estate markets. Both models state that the fundamental price is the sum of the discounted future period costs that arise from owning a house. The first model is based on a no-arbitrage condition between renting and buying a...

We evaluate how non-normality of asset returns and the temporal evolution of volatility and higher moments affects the conditional allocation of wealth. We show that if one neglects these aspects, as would be the case in a mean-variance allocation, a significant cost would arise. The performance...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

We provide a convenient econometric framework for the analysis of nonlinear dependence in financial applications. We introduce models with constrained nonparametric dependence, which specify the conditional distribution or the copula in terms of a one-dimensional functional parameter. Our...

The term structure of American interest rates is filtered to reduce the influence of cross correlations and auto correlations on its factors. A three-factor model is fitted to the filtered data. Contrary to most studies of the term structure on monthly data, performing statistical tests we...