This paper merges the literature on technical trading rules with the literature on Markov switching to develop economically useful trading rules. The Markov models' out-of sample, excess returns modestly exceed those of standard technical rules and are profitable over the most recent subsample....

This comment discusses Harding and Pagan's (2007) article that advocates modeling the NBER business cycle chronology as the outcome of the two-quarter rule. The comment shows that the two-quarter rule does not fare well as a description of the decision-making of the NBER with real-time data...

This note sheds new light on the dynamic properties of maintenance and repair and examines the behavior of an additional form of capital spending-that of improvements. The analysis examines a unique long-run data set on Swiss road spending.

We extend Lubik and Schorfheide's (2004) likelihood-based estimation of dynamic stochastic general equilibrium (DSGE) models under indeterminacy to encompass a sample period including both determinacy and indeterminacy by implementing the change-point methodology (Chib, 1998). The most striking...

This paper examines the association between monetary policy and stock market booms and busts in the United States, United Kingdom, and Germany during the 20th century. Booms tended to arise when output growth was rapid and inflation was low, and end within a few months of an increase in...

In this paper we propose a contemporaneous threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex ante probabilities that latent regime-specific variables exceed certain threshold values. The model is a multivariate generalization of...

This article presents a non-Markovian regime switching model in which the regime states depend on the sign of an autoregressive latent variable. The magnitude of the latent variable indexes the 'strength' of the state or how deeply the system is embedded in the current regime. In this model,...

This article deals with using panel data to infer regime changes that are common to all of the cross section. The methods presented here apply to Markov switching vector autoregressions, dynamic factor models with Markov switching and other multivariate Markov switching models. The key feature...

We use Markov Chain Monte Carlo methods to augment a vector autoregressive system with a latent business cycle index that is negative during recessions and positive during expansions. We then sample counterfactual values of the macroeconomic variables in the case where the latent business cycle...

This paper examines the association between inflation, monetary policy and U.S. stock market conditions during the second half of the 20th century. We use a latent-variable VAR to estimate the impact of inflation and other macroeconomic shocks on a latent index of stock market conditions. Our...