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of new models based on the Johansen-Ledoit-Sornette (JLS) model, which is a flexible tool to detect bubbles and predict … dynamics of a crash after a bubble. We test the models using data from three historical bubbles ending in crashes from … Shanghai Composite index 2009 crash. All results suggest that the new models perform very well in describing bubbles …
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history where a small event had a cataclysmic consequence, we propose a novel view of the current state of the world via the …
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In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random...
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