This article aims at estimating leading indicators of the American economy with financial variables. We use two types of hidden Markov chains models, a quantitative one (Krolzig (1997)) and a qualitative one (Gregoir and Lenglart (2000)). These models provide a robust and reliable framework to...

The purpose of this paper is the determination of sources and pattern of business cycle in Turkey throughout the period 1988-2002 using quarterly data. The question of the paper is “Has financial liberalization increased the fragility of the financial and real sides of the Turkish economy?”...

This work extends the strand of literature that examines the relation between the term structure of interest rates and macroeconomic variables. The yield curve is summarized by few latent factors (level, slope, and curvature) which are obtained through Kalman filtering. In this paper, we address...

This paper asks how well a general equilibrium agency cost model describes the dynamic relationship between credit variables and the business cycle. A Bayesian VAR is used to obtain probability intervals for empirical correlations. The agency cost model is found to predict the leading,...

This paper introduces a new open source Gauss library to estimate Multivariate Hidden Markov Models (HMM) in their simpler specification. These new programs are based upon the works of Hamilton (1994) and Krolzig (1998) and allow assessment of models with 2, 3 or 4 states through classical...

This work extends the strand of literature that examines the relation between the term structure of interest rates and macroeconomic variables. The yield curve is summarized by few latent factors (level, slope, and curvature) which are obtained through Kalman filtering. In this paper, we address...

In the empirical finance literature findings on the risk return tradeoff in excess stock market returns are ambiguous. In this study, we develop a new QR-GARCH-M model combining a probit model for a binary business cycle indicator and a regime switching GARCH-in-mean model for excess stock...

This paper explores 35 years of the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series, which offer reliable information to detect recessions in real time. It also assesses the performances of different and...

This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time. It also proposes and assesses the performances of different and...

This paper uses the multivariate unobserved components model with phase shifts to analyse the interaction of interest rates, output, asset prices and credit in the US. We find close linkages amongst cyclical fluctuations in the variables.