This paper analyses mutual causalities between crude oil price and euro / US dollar exchange rate. Instead of focusing on long-run macroeconomic linkages like the bulk of the relevant literature takes a financial markets perspective using daily data. The fast-running simultaneousimpacts are...

International trade has been playing an extremely significant role in China over the last 20 years. This paper is aimed at investigating and understanding the relationship between China's macro-economy and oil price fromthis newperspective. We find strong evidence to suggest that the increase of...

Microfoundations of the euro´s effect on euro area trade hinge on the timing, thespeed and the size of adjustment in trade costs. We estimate timing, speed and sizeof adjustment in trade costs for sectoral trade data. Our approach allows for sectorspecific impacts of trade costs on sectoral...

The paper proposes a data driven adaptive model selection strategy. The selection criterionmeasures economic ex-ante forecasting content by means of trading implied cash flows.Empirical evidence suggests that the proposed strategy is neither exposed to selection biasnor to the risk of choosing...

This paper proposes a novel approach to the combination of conditional covariancematrix forecasts based on the use of the Generalized Method of Moments (GMM). Itis shown how the procedure can be generalized to deal with large dimensional systemsby means of a two-step strategy. The finite sample...

This paper addresses the question of the British state of convergence towards the Euro area, compared to the USA. Economically, the analysis is based on dependences in the money and capital markets, namely the uncovered interest parity (UIP) and the expectation hypothesis of the term structure...

In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...