This paper presents a new Bayesian methodology for predicting a turning point in an economic system. The methodology utilizes information-theoretic measurements for assessing likelihood functions for a turning point. This methodology shows that the total information of a likelihood function...

This paper presents a Bayesian methodology for estimating probability of a downturn in the economy and applies it to the 2007-2008 state of the U.S. economy with the focus on investigating the occurrence of a recession. In the methodological development, information theory (Kullback and Shannon)...

Since the late 1970s/early 1980s, the entire U.S. economy has gone through some structural changes. Outside of the technological changes, the Federal Reserve monetary policies have probably been the main force behind these changes. These policies, known as soft-landing policies, focused on a...

In modeling a combination of forecasts all the information related to the past performance of the individual forecasts, including accuracy and correlation, is considered. In this paper I have extended the modeling to incorporate a rank ordering of the forecasts by a decision maker. This ordering...

In an attempt to predict a peak in the U.S. economy using a classical statistical decision methodology and a Bayesian methodology and using the 1996 revised composite leading economic indicators, it is learned that the Bayesian models have generally outperformed the classical statistical ones...