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Modelling Aggregate Risk of the South African Banking Industry: An Application to Pillar II Economic Capital

Author

Listed:
  • Dingaan Jack Khoza
  • J.W. Muteba Mwamba

    (University of Johannesburg)

Abstract

In this paper, we aggregate credit, market and operational risks to determine the economic capital required by Basel regulations’ Pillar II to ensure that South African banks are sound and do not pose a threat to financial stability. We first model the return distributions due to credit and market risks using macroeconomic risk factors by applying an asymmetric GARCH model, and we fit the distribution of operational risk losses to a lognormal distribution. We thereafter aggregate these risk measures using traditional approaches (simple additive and variance-covariance) and the modern approach (copula). For the modern approach, we use the Gaussian copula and t-Copula. Our results based on aggregate balance sheet and income statement data of South African banks collected for the period 2008 to 2015 show that traditional measures over-estimate the regulatory capital by an average of 55% when compared to the modern approach. In addition, our results indicate that diversification benefits increase as one moves from less complex risk aggregation methods (i.e. simple additive and variancecovariance methods) to the more advanced forms of risk aggregation (copula).

Suggested Citation

  • Dingaan Jack Khoza & J.W. Muteba Mwamba, 2018. "Modelling Aggregate Risk of the South African Banking Industry: An Application to Pillar II Economic Capital," The African Finance Journal, Africagrowth Institute, vol. 20(1), pages 39-65.
  • Handle: RePEc:afj:journl:v:20:y:2018:i:1:p:39-65
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    More about this item

    Keywords

    Risk aggregation; economic capital; copulas; value at risk; expected shortfall;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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