This paper examines the relationship between US crude oil and stock market prices, using a Markov-Switching vector error-correction model and a monthly data set from 1859 to 2013. The sample covers the entire modern era of the petroleum industry, which typically begins with the first drilled oil...

This paper studies the effects of central bank intervention during the 1992- 1993 EMS crises on the D-mark/peseta and D-mark/French franc exchange rate. In particular, it is analyzed how interventions affected the probability of a speculative attack and market participants’ expectations about...

The information contained in a large panel data set is used to date historical turning points of the Austrian business cycle and to forecast future ones. We estimate groups of series with similar time series dynamics and link the groups with a dynamic structure. The dynamic structure identifies...

I use the Markov Switching AR approach to model the business cycles in Romanian economy for the 1991-2008 period using monthly data on industrial production. The time series used allows for a comparison with previous dating of Romanian business cycles. Generally, the MS-AR performs well,...

This paper investigates the identification and dating of the European business cycle, using different methods. We concentrate on methods and statistical series that provide timely and accurate information about the contemporaneous state of the economy in order to provide the reader with a useful...

There has been a lot of interest recently in developing small-scale rule-based empirical macro models for the analysis of monetary policy. These models, based on the conventional view that inflation stabilization should be a concern of monetary policy only, have typically neglected the role of...

This Paper proposes a new forecast combination method that lets the combination weights be driven by regime switching in a latent state variable. An empirical application that combines forecasts from survey data and time series models finds that the proposed regime switching combination scheme...

In this paper we develop a regime switching model which can generate long memory (fractional integration) in each of the regime states. This property is relevant in a number of cases. For instance, the deregulated market for electricity power in the Nordic countries is characterized by...

This paper uses a Markov regime-switching model to assess the vulnerability of a series of Central and Eastern European countries (i.e. Czech Republic, Hungary, Slovak Republic) and two CIS countries (i.e., Russia and Ukraine) during the period 1993–2004. For the new EU member states in...