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Implementing new machine learning (ML) algorithms for credit default prediction is associated with better predictive performance; however, it also generates new model risks, particularly concerning the supervisory validation process. Recent industry surveys often mention that uncertainty about how...
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Climate change and its management and mitigation are unquestionably among the main risks facing our society in the coming decades. The financial sector plays a key role in this challenge, firstly because of its exposure and the consequent capital shocks if this risk crystallises, and secondly...
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One of the biggest challenges for the application of machine learning (ML) models in finance is how to explain their results. In recent years, different interpretability techniques have appeared to assist in this task, although their usefulness is still a matter of debate. In this article we...
Persistent link: https://www.econbiz.de/10013405270
So-called cryptocurrencies are becoming more popular by the day, with a total market capitalization that exceeded $3 trillion at its peak in 2021. Bitcoin has emerged as the most popular among them, with a total valuation that reached an all-time high of $68,000 in November 2021. However, its...
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