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Recent advances in digital technology and big data have allowed FinTech (financial technology)lending to emerge as a potentially promising solution to reduce the cost of credit and increasefinancial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credithave...
Persistent link: https://www.econbiz.de/10012868469
We present an analysis of the sensitivity of household mortgage probabilities of default (PDs) and loss given default … counterfactual analysis of the responsiveness of mortgage PDs, LGDs, and bank capitalization conditional on adverse scenarios related …
Persistent link: https://www.econbiz.de/10013291773
We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...
Persistent link: https://www.econbiz.de/10012843303
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...
Persistent link: https://www.econbiz.de/10014256873
mortgage finance can be seen building across several dimensions that need to be addressed. While reforms to the GSEs are an … important part of dealing with these concerns, this paper argues that broader changes need to be made across the entire mortgage …
Persistent link: https://www.econbiz.de/10012948519
In housing crises, high mortgage debt can feed a vicious circle of falling housing prices and declining consumption and … incomes, leading to higher mortgage defaults and deeper recessions. In such situations, resolution policies may need to be … experiences from Iceland, Ireland, Spain, and the United States, this paper discusses how economic trade-offs affecting mortgage …
Persistent link: https://www.econbiz.de/10013028680
-level U.S. mortgage data by exploiting the exogenous variation in local house price volatility. The paper finds that, in … response to high expected house price volatility, banks in U.S. counties with a competitive mortgage market lowered lending …
Persistent link: https://www.econbiz.de/10012912505
associated with lower mortgage credit growth and house price growth. The international experience suggests that - in addition to …
Persistent link: https://www.econbiz.de/10013053034
Bank stress tests of climate change risks are relatively new, but are rapidly proliferating. The IMF and World Bank staff collaborated to develop an experimental macro scenario stress testing approach to examine physical risks for banks by building a dynamic stochastic general equilibrium model...
Persistent link: https://www.econbiz.de/10013492150
This simulation-based paper investigates the impact of different methods of dynamic provisioning on bank soundness and shows that this increasingly popular macroprudential tool can smooth provisioning costs over the credit cycle and lower banks' probability of default. In addition, the paper...
Persistent link: https://www.econbiz.de/10013102287