We propose a portfolio construction method that accounts for the regime-dependent behavior of stocks, thereby impacting their expected returns. Using a hidden Markov model (HMM) and a regime-weighted least-squares approach, we estimate forward-looking regime-conditional factors. These factors...

This paper aims at exploring the relationship between news on the stock market returns and conditional volatility in Nigeria. To determine this relationship, the researcher employed the exponential generalized conditional Heteroscedasticity (EGARCH) in mean model since the model accommodates...

DSGE models are currently estimated with a two step approach: data is first filtered and then DSGE structural parameters are estimated. Two step procedures have problems, ranging from trend misspecification to wrong assumption about the correlation between trend and cycles. In this paper, I...

This paper proposes an econometric model of the joint dynamic relationship between the yield curve and the economy to predict business cycles. We examine the predictive value of the yield curve to forecast both future economic growth as well as the beginning and end of economic recessions at the...

A univariate first order stochastic cycle can be represented as an element of a bivariate first order vector autoregressive process, or VAR(1), where the transition matrix is associated with a Givens rotation. From the geometrical viewpoint, the kernel of the cyclical dynamics is described by a...

This paper proposes a framework to estimate the effects of exogenous fiscal policy and oil revenue shocks on the macroeconomic activity of price-taking oil producers. We apply the methodology to Ecuador, using a structural vector autoregressive model estimated with Bayesian methods....