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cryptocurrency-specific data, we estimate a model based on linear discriminant analysis to predict such defaults. Our model is … capable of explaining 87% of cryptocurrency bankruptcies after only one month of trading and could serve as a screening tool …
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While there is increasing interest in crypto assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we considered a unique dataset of 144 exchanges, active from the first quarter of 2018 to the first quarter of 2021. We analyzed the determinants surrounding...
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This paper provides evidence for regulatory arbitrage within the class of assetbacked securities (ABS) based on …
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