Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918821272> ?p ?o ?g. }
- W2918821272 endingPage "29" @default.
- W2918821272 startingPage "29" @default.
- W2918821272 abstract "There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are being detected, measured, reported and managed. Considerable research in academia and industry has focused on the developments in banking and risk management and the current and emerging challenges. This paper, through a review of the available literature seeks to analyse and evaluate machine-learning techniques that have been researched in the context of banking risk management, and to identify areas or problems in risk management that have been inadequately explored and are potential areas for further research. The review has shown that the application of machine learning in the management of banking risks such as credit risk, market risk, operational risk and liquidity risk has been explored; however, it doesn’t appear commensurate with the current industry level of focus on both risk management and machine learning. A large number of areas remain in bank risk management that could significantly benefit from the study of how machine learning can be applied to address specific problems." @default.
- W2918821272 created "2019-03-11" @default.
- W2918821272 creator A5014269555 @default.
- W2918821272 creator A5020730140 @default.
- W2918821272 creator A5087598016 @default.
- W2918821272 date "2019-03-05" @default.
- W2918821272 modified "2023-10-18" @default.
- W2918821272 title "Machine Learning in Banking Risk Management: A Literature Review" @default.
- W2918821272 cites W1146913598 @default.
- W2918821272 cites W1497131193 @default.
- W2918821272 cites W1980931745 @default.
- W2918821272 cites W1985546543 @default.
- W2918821272 cites W1996264385 @default.
- W2918821272 cites W2001923412 @default.
- W2918821272 cites W2006359467 @default.
- W2918821272 cites W2013675302 @default.
- W2918821272 cites W2035365877 @default.
- W2918821272 cites W2046696485 @default.
- W2918821272 cites W2051311627 @default.
- W2918821272 cites W2052611008 @default.
- W2918821272 cites W2069595543 @default.
- W2918821272 cites W2078464577 @default.
- W2918821272 cites W2085766370 @default.
- W2918821272 cites W2085988980 @default.
- W2918821272 cites W2088048599 @default.
- W2918821272 cites W2103780778 @default.
- W2918821272 cites W2127242195 @default.
- W2918821272 cites W2131816657 @default.
- W2918821272 cites W2133772980 @default.
- W2918821272 cites W2144777370 @default.
- W2918821272 cites W2168123127 @default.
- W2918821272 cites W2208635417 @default.
- W2918821272 cites W2253923269 @default.
- W2918821272 cites W2336505047 @default.
- W2918821272 cites W2461391084 @default.
- W2918821272 cites W2591494564 @default.
- W2918821272 cites W2598046176 @default.
- W2918821272 cites W2606916050 @default.
- W2918821272 cites W2613872131 @default.
- W2918821272 cites W2763327412 @default.
- W2918821272 cites W2768254853 @default.
- W2918821272 cites W2773125679 @default.
- W2918821272 cites W2778231117 @default.
- W2918821272 cites W2787468747 @default.
- W2918821272 cites W2788025656 @default.
- W2918821272 cites W2794075400 @default.
- W2918821272 cites W2897724816 @default.
- W2918821272 cites W2954618921 @default.
- W2918821272 cites W3121588992 @default.
- W2918821272 cites W4236362309 @default.
- W2918821272 cites W435157458 @default.
- W2918821272 doi "https://doi.org/10.3390/risks7010029" @default.
- W2918821272 hasPublicationYear "2019" @default.
- W2918821272 type Work @default.
- W2918821272 sameAs 2918821272 @default.
- W2918821272 citedByCount "144" @default.
- W2918821272 countsByYear W29188212722019 @default.
- W2918821272 countsByYear W29188212722020 @default.
- W2918821272 countsByYear W29188212722021 @default.
- W2918821272 countsByYear W29188212722022 @default.
- W2918821272 countsByYear W29188212722023 @default.
- W2918821272 crossrefType "journal-article" @default.
- W2918821272 hasAuthorship W2918821272A5014269555 @default.
- W2918821272 hasAuthorship W2918821272A5020730140 @default.
- W2918821272 hasAuthorship W2918821272A5087598016 @default.
- W2918821272 hasBestOaLocation W29188212721 @default.
- W2918821272 hasConcept C10138342 @default.
- W2918821272 hasConcept C112930515 @default.
- W2918821272 hasConcept C119599485 @default.
- W2918821272 hasConcept C127413603 @default.
- W2918821272 hasConcept C144133560 @default.
- W2918821272 hasConcept C151730666 @default.
- W2918821272 hasConcept C178350159 @default.
- W2918821272 hasConcept C180198813 @default.
- W2918821272 hasConcept C183582576 @default.
- W2918821272 hasConcept C189259953 @default.
- W2918821272 hasConcept C207209096 @default.
- W2918821272 hasConcept C2779343474 @default.
- W2918821272 hasConcept C29848774 @default.
- W2918821272 hasConcept C32896092 @default.
- W2918821272 hasConcept C43071985 @default.
- W2918821272 hasConcept C81146079 @default.
- W2918821272 hasConcept C86803240 @default.
- W2918821272 hasConcept C95609273 @default.
- W2918821272 hasConceptScore W2918821272C10138342 @default.
- W2918821272 hasConceptScore W2918821272C112930515 @default.
- W2918821272 hasConceptScore W2918821272C119599485 @default.
- W2918821272 hasConceptScore W2918821272C127413603 @default.
- W2918821272 hasConceptScore W2918821272C144133560 @default.
- W2918821272 hasConceptScore W2918821272C151730666 @default.
- W2918821272 hasConceptScore W2918821272C178350159 @default.
- W2918821272 hasConceptScore W2918821272C180198813 @default.
- W2918821272 hasConceptScore W2918821272C183582576 @default.
- W2918821272 hasConceptScore W2918821272C189259953 @default.
- W2918821272 hasConceptScore W2918821272C207209096 @default.
- W2918821272 hasConceptScore W2918821272C2779343474 @default.
- W2918821272 hasConceptScore W2918821272C29848774 @default.
- W2918821272 hasConceptScore W2918821272C32896092 @default.