Systemic banking crises can be very damaging to economic development, and environmental, social, and governance (ESG) can also damage national finances, but there is no research on whether ESG affects systemic banking crises, and we fill this gap. We first employ Fisher scores (FS) to select features and then use an interpretable multivariate long-short-term memory (IMV-LSTM) model with focal loss (FL) to account for class imbalance to model an early warning system (EWS) that can predict up to one year in advance. This study finds that ESG influences the occurrence of systemic banking crises, with our early warning system predicting each crisis a year in advance
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...
We built a logistic regression Early Warning Models (EWM) for banking crises in a panel of 47 countr...
As a result of the sub-prime crisis in 2007, usage of the terms Early Warnings Systems (EWS) and mac...
This paper explores how banks' environmental, social, and governance (ESG) activities affect their l...
Despite the extensive literature on prediction of banking crises by Early Warning Systems (EWS), th...
We analyze the predictive power of Environmental, Social, and Governance (ESG) indicators to forecas...
We analyze the predictive power of Environmental, Social, and Governance (ESG) indicators to forecas...
After the Great Recession, there has been speculation as to whether it is possible to effectively de...
The financial crisis that plagued the European economy during 2008-2013 was one of the most severe o...
Abstract: Despite the extensive literature on prediction of banking crises by Early Warning Systems ...
The succession of banking crises in which most have resulted in huge economic and financial losses,...
The global financial crisis which began in 2007 has shown how financial turbulences are difficult to...
In this paper, we investigate the growing prominence of credit in the systemic banking crisis predic...
International audienceWe develop an Early Warning System framework for predicting banking crises in ...
Early Warning System (EWS) is a system that tries to predict the probability of crises using environ...
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...
We built a logistic regression Early Warning Models (EWM) for banking crises in a panel of 47 countr...
As a result of the sub-prime crisis in 2007, usage of the terms Early Warnings Systems (EWS) and mac...
This paper explores how banks' environmental, social, and governance (ESG) activities affect their l...
Despite the extensive literature on prediction of banking crises by Early Warning Systems (EWS), th...
We analyze the predictive power of Environmental, Social, and Governance (ESG) indicators to forecas...
We analyze the predictive power of Environmental, Social, and Governance (ESG) indicators to forecas...
After the Great Recession, there has been speculation as to whether it is possible to effectively de...
The financial crisis that plagued the European economy during 2008-2013 was one of the most severe o...
Abstract: Despite the extensive literature on prediction of banking crises by Early Warning Systems ...
The succession of banking crises in which most have resulted in huge economic and financial losses,...
The global financial crisis which began in 2007 has shown how financial turbulences are difficult to...
In this paper, we investigate the growing prominence of credit in the systemic banking crisis predic...
International audienceWe develop an Early Warning System framework for predicting banking crises in ...
Early Warning System (EWS) is a system that tries to predict the probability of crises using environ...
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...
We built a logistic regression Early Warning Models (EWM) for banking crises in a panel of 47 countr...
As a result of the sub-prime crisis in 2007, usage of the terms Early Warnings Systems (EWS) and mac...