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

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dc.contributor.author Beyers, Conrad F.J.
dc.contributor.author De Freitas, Allan
dc.contributor.author Essel-Mensah, Kojo Amonkwandoh
dc.contributor.author Seymore, Reyno
dc.contributor.author Tsomocos, Dimitrios P.
dc.date.accessioned 2021-11-22T11:24:22Z
dc.date.available 2021-11-22T11:24:22Z
dc.date.issued 2020-06
dc.description.abstract In 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.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.department Insurance and Actuarial Science en_ZA
dc.description.librarian hj2021 en_ZA
dc.description.sponsorship The National Research Foundation (NRF), the ABSA Chair in Actuarial Science and the Czech Science Foundation (CSF). en_ZA
dc.description.uri https://www.springer.com/journal/10436 en_ZA
dc.identifier.citation Beyers, 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.issn 1614-2446 (print)
dc.identifier.issn 1614-2454 (online)
dc.identifier.other 10.1007/s10436-020-00362-4
dc.identifier.uri http://hdl.handle.net/2263/82790
dc.language.iso en en_ZA
dc.publisher Springer en_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.subject Computable general equilibrium (CGE) en_ZA
dc.subject South Africa (SA) en_ZA
dc.subject Banking regulation en_ZA
dc.subject Systemic risk en_ZA
dc.title A computable general equilibrium model for banking sector risk assessment in South Africa en_ZA
dc.type Postprint Article en_ZA


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