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...

This relatively simple model attempts to capture and integrate four widely held views about financial crises. [1] Interconnectedness among financial institutions (banks) can play a major role in precipitating systemic financial crises. [2] Lack of information about the quality of bank portfolios...