Artificial Neural Network Model for Predicting Insurance Insolvency

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dc.contributor.authorIbiwoye, A
dc.contributor.authorAjibola, O.O
dc.contributor.authorSogunro, A.B
dc.date.accessioned2017-10-06T10:21:22Z
dc.date.available2017-10-06T10:21:22Z
dc.date.issued2012
dc.descriptionStaff Publicationsen_US
dc.description.abstractserves as a medium for fund mobilization. In spite of the harsh economic environment in Nigeria, the insurance industry has been crucial to the consummation of business plans and wealth creation. However, the continued downturn experienced by many countries, in the last decade, seems to have impacted negatively on the financial health of the industry, thereby rendering many insurance companies inherently distressed. Although there is a regulator to monitor the insurance companies in order to prevent insolvency and protect the right of consumers this oversight function has been made difficult because the regulators appeared to lack the necessary tools that would adequately equip them to perform their oversight functions. One such critical tool is a decision making model that provides early warning signal of distressed firms. This paper constructs an insolvency prediction model based on artificial neural network approach which could be used to evaluate the financial capability of insurance companies.en_US
dc.identifier.citationIbiwoye, A, Ajibola, O.O and Sogunro, A.B (2012) Artificial Neural Network Model for Predicting Insurance Insolvency. International Journal of Management and Business Research, Vol. 2( 1), 59-68pp.en_US
dc.identifier.urihttp://ijmbr.srbiau.ac.ir/article_63_0.html
dc.identifier.urihttp://ir.unilag.edu.ng:8080/xmlui/handle/123456789/1726
dc.language.isoenen_US
dc.subjectInsuranceen_US
dc.subjectFinancial protectionen_US
dc.subjectArtificial neural networken_US
dc.subjectInsolvencyen_US
dc.titleArtificial Neural Network Model for Predicting Insurance Insolvencyen_US
dc.typeArticleen_US
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