In this paper we introduce identifying restrictions into a Markov-switching vector autoregression model. We define a separate set of impulse responses for each Markov regime to show how fundamental disturbances affect the variables in the model dependent on the regime. We go to illustrate the use of these regime-dependent impulse response functions in a model of the U.S. economy. The regimes we identify come close to the "old" and "new economy" regimes found in recent research. We provide evidence that oil price shocks are much less contractionary and inflationary than they used to be. We show furthermore that the decoupling of the US economic performance from oil price shocks cannot be explained by "good luck" alone, but that structural changes within the US economy have taken place.

This book contributes to re cent developments on the statistical analysis of multiple time series in the presence of regime shifts. Markov-switching models have become popular for modelling non-linearities and regime shifts, mainly, in univariate eco nomic time series. This study is intended to provide a systematic and operational ap proach to the econometric modelling of dynamic systems subject to shifts in regime, based on the Markov-switching vector autoregressive model. The study presents a comprehensive analysis of the theoretical properties of Markov-switching vector autoregressive processes and the related statistical methods. The statistical concepts are illustrated with applications to empirical business cyde research. This monograph is a revised version of my dissertation which has been accepted by the Economics Department of the Humboldt-University of Berlin in 1996. It con sists mainly of unpublished material which has been presented during the last years at conferences and in seminars. The major parts of this study were written while I was supported by the Deutsche Forschungsgemeinschajt (DFG), Berliner Graduier tenkolleg Angewandte Mikroökonomik and Sondeiforschungsbereich 373 at the Free University and Humboldt-University of Berlin. Work was finally completed in the project The Econometrics of Macroeconomic Forecasting founded by the Economic and Social Research Council (ESRC) at the Institute of Economies and Statistics, University of Oxford. It is a pleasure to record my thanks to these institutions for their support of my research embodied in this study.

Carry trades are speculative activities which involve simultaneously going short a low-rate currency and long a high-rate currency. They are profitable as long as the gains from interest rate differentials are not offset by exchange rate movements. In this paper I investigate the dynamic relationships amongst exchange rate changes, interest rate spreads and carry trades by means of a Markov-switching vector autoregression model. I use regime-dependent impulse response functions to assess (1) how and to what extent shocks to the interest rate differential and the bilateral exchange rate affect the yen carry trade; (2) the consequences of the unwinding of the yen carry trade on the dollar-yen exchange rate. Empirical evidence indicates the presence of a so-called carry trade regime, whose timing is consistent with the yen carry trade episodes identified in the literature. Moreover, only when the system is in the carry trade regime a shock in the carry-to-risk ratio has a positive and significant effect on the net short positions in Japanese yen and the depreciation of the yen against the dollar is strong and persistent. Finally, a rising carry-to-risk ratio, which in turn reveals an increase in the attractiveness of carry trades, leads to a significant depreciation of the yen only when the system is in the carry-trade regime.

This paper develops a multivariate regime switching monetary policy model for the US economy. To exploit a large dataset we use a factor-augmented VAR with discrete regime shifts, capturing distinct business cycle phases. The transition probabilities are modelled as time-varying, depending on a broad set of indicators that influence business cycle movements. The model is used to investigate the relationship between business cycle phases and monetary policy. Our results indicate that the effects of monetary policy are stronger in recessions, whereas the responses are more muted in expansionary phases. Moreover, lagged prices serve as good predictors for business cycle transitions.

"The purpose of this book is to empirically analyse the multifaceted nature of financial linkages in East Asia and to discuss the key policy challenges faced by the region's economies. Although the emphasis is placed on East Asia, some of the chapters cover a broader area of countries depending on the aim of the study. Particular areas of focus in these studies include: the evolution of cross-border financial linkages in East Asia; long-run economic consequences of remittance inflows and natural resource dependence; and policy priorities for the financial integration and management of resource-rich economies."--