This paper characterizes business cycle phenomena in a sample of 22 developed and developing economies using a univariate Markov regime switching approach. It examines the efficacy of this approach for detecting business cycle turning points and for identifying distinct economic regimes for each...

We present non-linear models to capture the turning points in global economic activity as well as in advanced and emerging economies from 1980 to 2017. We first estimate Markov Switching models within a univariate framework. These models support the relevance of three business cycle regimes...

Because of the huge fluctuation in the semiconductor business, it has been a challengingwork for the industry researchers to predict the turning points of the semiconductor industry cycles. To catch the cyclical behavior of the semiconductor business, we propose a Markov Regime-Switching model...

Traditionally, economic growth and business cycles have been treated independently. However, the dependence of GDP levels on its history of shocks, what economists refer to as 'hysteresis,' argues for unifying the analysis of growth and cycles. In this paper, we review the recent empirical and...