This paper introduces a new long memory volatility process, denoted by Adaptive FIGARCH, or A-FIGARCH, which is designed to account for both long memory and structural change in the conditional variance process. Structural change is modeled by allowing the intercept to follow a slowly varying...

The goal of this paper is to develop formal tests to evaluate the relative in-sample performance of two competing, misspecified non-nested models in the presence of possible data instability. Compared to previous approaches to model selection, which are based on measures of global performance,...

The paper investigates linkages between general macroeconomic conditions and the housing market for the G-7 area. Among the key results of the paper, it is found that the US are an important source of global fluctuations not only for real activity, nominal variables and stock prices, but also...

A new approach to mean-variance efficient portfolio selection is introduced. The method is based on realized regression theory and the regression based portfolio selection approach of Britten-Jones (1999), yielding a conditional version of the Britten-Jones (1999) method. Application to euro...

In this paper international comovements among a set of key real and nominal macroeconomic variables for the G-7 countries have been investigated for the 1980-2005 period, using a Factor Vector Autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern...

After more than a decade of stagnant growth, the Japanese economy is showing signs of full recovery, with deflation also having come to an end. Since the mid 1990s both supply side and demand side policy solutions to the Japanese stagnation have been suggested. By means of a Factor Vector...

The objective of this paper is to identify which parameters of a model are stable over time. Existing procedures can only be used to test whether a given subset of parameters is stable, and cannot be used to find which subset of parameters is stable. We propose a new procedure that is...

We provide an extensive evaluation of the predictive performance of the U.S. yield curve for U.S. GDP growth by using a new test for forecast breakdown as well as a variety of in-sample and out-of-sample testing procedures. Empirical research over the past decades uncovered a strong predictive...

What explains the cross section of expected returns for the 25 size/value Fama-French portfolios? It is found that modelling time-varying betas is important to explain the cross-section of expected returns, as well as to comply with the time series restriction on Jensen-alpha. Support for a...

We propose a new methodology to identify the sources of models’ forecasting performance. The methodology decomposes the models’ forecasting performance into asymptotically uncorrelated components that measure instabilities in the forecasting performance, predictive content, and over-fitting....