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We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...
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In this paper, employing several econometric techniques, the authors construct a financial stress index (CNFSI) and a financial conditions index (CNFCI) to measure the instability of China's financial system. The indices are based on the monthly data collected from China's inter-bank markets,...
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