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traditional forecasting models. The presented studies focus on the assessment of credit risk classes and on determination of the … of 15 years before the enterprises went bankrupt was conducted. This long forecasting horizon allows one to identify …
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Since 2009, stock markets have resided in a long bull market regime. Passive investment strategies have succeeded during this low-volatility growth period. From 2018 on, however, there was a transition into a more volatile market environment interspersed by corrections increasing in amplitude...
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This paper discusses the role of the credit rating agencies during the recent financial crises. In particular, it examines whether the agencies can add to the dynamics of emerging market crises. Academics and investors often argue that sovereign credit ratings are responsible for pronounced...
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generalized error distribution. Adaptive Markov chain Monte Carlo methods are employed in estimation and forecasting. A portfolio …Value-at-Risk (VaR) forecasting via a computational Bayesian framework is considered. A range of parametric models are … of four Asia-Pacific stock markets is considered. Two forecasting periods are evaluated in light of the recent global …
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