A computable general equilibrium model for banking sector risk assessment in South Africa

dc.contributor.authorBeyers, Conrad F.J.
dc.contributor.authorDe Freitas, Allan
dc.contributor.authorEssel-Mensah, Kojo Amonkwandoh
dc.contributor.authorSeymore, Reyno
dc.contributor.authorTsomocos, Dimitrios P.
dc.date.accessioned2021-11-22T11:24:22Z
dc.date.available2021-11-22T11:24:22Z
dc.date.issued2020-06
dc.description.abstractIn this article a banking sector Computable general equilibrium (CGE) model for South Africa is developed. The model is used to estimate the potential effect of regulatory policy on the economy and as a risk assessment tool to assess how changes in regulation affect the economy. The model provides a methodology for regulators of the banking sector and policy makers in South Africa to deal with risk assessment and future regulatory planning. The CGE model allows interactions amongst various entities of the economy so that policy makers could detect the risks in the banking sector. The CGE model used in this paper performed well as a risk assessment tool for the South African banking sector. The results of the various shocks from the model are consistent with the results obtained from similar shocks done in the UK. We establish that default penalty has a higher effect on the banks’ profits and the interest rates than capital requirement infringement penalty. Our results also suggest that interest rate targeting has more controlled effects than monetary base targeting since pecuniary externalities are reduced.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.departmentInsurance and Actuarial Scienceen_ZA
dc.description.librarianhj2021en_ZA
dc.description.sponsorshipThe National Research Foundation (NRF), the ABSA Chair in Actuarial Science and the Czech Science Foundation (CSF).en_ZA
dc.description.urihttps://www.springer.com/journal/10436en_ZA
dc.identifier.citationBeyers, C.F.J., De Freitas, A., Essel-Mensah, K.A. et al. A computable general equilibrium model for banking sector risk assessment in South Africa. Ann Finance 16, 195–218 (2020). https://doi.org/10.1007/s10436-020-00362-4.en_ZA
dc.identifier.issn1614-2446 (print)
dc.identifier.issn1614-2454 (online)
dc.identifier.other10.1007/s10436-020-00362-4
dc.identifier.urihttp://hdl.handle.net/2263/82790
dc.language.isoenen_ZA
dc.publisherSpringeren_ZA
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2020. The original publication is available at : https://www.springer.com/journal/10436.en_ZA
dc.subjectComputable general equilibrium (CGE)en_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.subjectBanking regulationen_ZA
dc.subjectSystemic risken_ZA
dc.titleA computable general equilibrium model for banking sector risk assessment in South Africaen_ZA
dc.typePostprint Articleen_ZA

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