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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...
Persistent link: https://www.econbiz.de/10012392653
Applying techniques of clustering analysis to a set of variables suggested by the convergence criteria and the theory of optimal currency areas, this paper looks for country homogeneities to assess membership in the existing and proposed monetary unions of the broader west African region. Our...
Persistent link: https://www.econbiz.de/10014402037
This paper studies growth patterns in Emerging Market Economies (EMs) from the perspective on clusters and taxonomies. First, it documents developments over the past five decades in EMs and uses a cluster analysis to better understand convergence and the investment-growth nexus. Second, it looks...
Persistent link: https://www.econbiz.de/10011447085
, and volatility in the remittance-sending country …
Persistent link: https://www.econbiz.de/10012252729
volatility. The paper provides an overview of the recent developments in the conventional debt market. It builds an empirical two … that nonresident flows are behind the observed exchange rate volatility. The results suggest that the public debt market in … Malaysia responds adequately to both pull and push factors and find no firm evidence that nonresident flows cause volatility in …
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