In this study we suggest a chronology of the classical business cycle in Switzerland. To this end we use two approaches: the approach of Artis et al. (2004) and an approach based on Markov-switching models (Hamilton, 1989). Our results show that similar conclusions can be reached by applying the...

To match the NBER business cycle features it is necessary to employ Generalised Dynamic Categorical (GDC) models that impose certain phase restrictions and permit multiple indexes. Theory suggests additional shape restrictions in the form of monotonicity and boundedness of certain transition...

This paper shows that the stylized fact of average mutual fund underperformance documented in the literature stems from expansion periods when funds have statistically significant negative risk-adjusted performance and not recession periods when risk-adjusted fund performance is positive. These...

The paper studies the interaction between cyclical uncertainty and investment in a stochastic real option framework where demand shifts stochastically between three different states, each with different rates of drift and volatility. In our setting the shifts are governed by a three-state Markov...

This paper sets up a Gibbs sampler for a three state Markov switching model with non-constant transition probabilities. The step from two to three states is accomplished by the use of a multinomial probit model for the latent variable process. The algorithm is then applied to Swiss GDP data in...

This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In the empirical application, we forecast U.S. business cycle turning points with state-level employment data. We find that forecasts...

We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show...

Business cycle asymmetry is examined using annual observations on GDP for 22 economies over the period 1870 to 1994. The present paper extends recent research in a number of ways. First, a non-parametric testing procedure is adopted which is robust to outliers. Second, alternative methods of...

This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging...

This paper proposes a probabilistic model based on comovements and nonlinearities useful to assess the type of shock affecting each phase of the business cycle. By providing simultaneous inferences on the phases of real activity and inflation cycles, contractionary episodes are dated and...