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Modelling systemic risk in the South African banking sector using CoVaR

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  • Mathias Manguzvane
  • John Weirstrass Muteba Mwamba
Abstract
In this paper, we model systemic risk by making use of the conditional quantile regression to identify the most systemically important and vulnerable banks in South Africa (SA). We measure the marginal contributions of each bank to systemic risk by computing the difference between system risk of individual banks when they are in a normal state and when they are in distress. Using daily stock market prices of six SA commercial banks1 from June 2007 to April 2016; Our results show a considerable increase in the market risk of all the six banks during the 2008 global financial crisis with African Bank being the riskiest bank in the country. Our systemic risk ranking shows that First Rand Bank was the largest contributor to systemic risk followed by Standard Bank, Barclays Africa, Nedbank, Capitec and lastly African Bank. These results suggest that the largest banks pose a bigger threat to the banking system than the smaller banks. These findings clearly indicate that different banks pose different threats to the banking system and the economy at large. Hence, specific actions that go beyond limiting idiosyncratic risk are needed if stability is to be attained through macro prudential regulation.

Suggested Citation

  • Mathias Manguzvane & John Weirstrass Muteba Mwamba, 2019. "Modelling systemic risk in the South African banking sector using CoVaR," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(5), pages 624-641, September.
    • Handle: RePEc:taf:irapec:v:33:y:2019:i:5:p:624-641
    DOI: 10.1080/02692171.2018.1516741
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    Cited by:

    1. Somnath Chatterjee & Marea Sing, 2021. "Measuring Systemic Risk in South African Banks," Working Papers 11004, South African Reserve Bank.
    2. Mathias Mandla Manguzvane & John Weirstrass Muteba Mwamba, 2020. "GAS Copula models on who’s systemically important in South Africa: Banks or Insurers?," Empirical Economics, Springer, vol. 59(4), pages 1573-1604, October.
    3. Jalan, Akanksha & Matkovskyy, Roman, 2023. "Systemic risks in the cryptocurrency market: Evidence from the FTX collapse," Finance Research Letters, Elsevier, vol. 53(C).
    4. Pierre Nkou Mananga & Shiqiang Lin & Hairui Zhang, 2023. "A network approach to interbank contagion risk in South Africa," Working Papers 11052, South African Reserve Bank.
    5. Serena Merrino & Ilias Chondrogiannis, 2024. "Did Basel III reduce bank spillovers in South Africa," Working Papers 11060, South African Reserve Bank.
    6. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    7. Kanga, Désiré & Soumaré, Issouf & Amenounvé, Edoh, 2023. "Can corporate financing through the stock market create systemic risk? Evidence from the BRVM securities market," Emerging Markets Review, Elsevier, vol. 55(C).
    8. Eita, Joel Hinaunye & Ngobese, Sibusiso Blessing & Muteba Mwamba, John Weirstrass, 2020. "An empirical analysis of systemic and macroeconomic risk in South Africa: an application of the quantile regression," MPRA Paper 101493, University Library of Munich, Germany.
    9. Ouyang, Zi-sheng & Liu, Meng-tian & Huang, Su-su & Yao, Ting, 2022. "Does the source of oil price shocks matter for the systemic risk?," Energy Economics, Elsevier, vol. 109(C).
    10. Zulu, Thulani & Manguzvane, Mathias Mandla & Bonga-Bonga, Lumengo, 2023. "Assessing the contribution of South African Insurance Firms to Systemic Risk," MPRA Paper 116815, University Library of Munich, Germany.
    11. Fenghua Wen & Kaiyan Weng & Wei-Xing Zhou, 2020. "Measuring the contribution of Chinese financial institutions to systemic risk: an extended asymmetric CoVaR approach," Risk Management, Palgrave Macmillan, vol. 22(4), pages 310-337, December.
    12. Huichen Jiang & Jun Zhang, 2020. "Discovering Systemic Risks of China's Listed Banks by CoVaR Approach in the Digital Economy Era," Mathematics, MDPI, vol. 8(2), pages 1-28, February.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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