IDEAS home Printed from https://ideas.repec.org/p/rza/wpaper/709.html
   My bibliography  Save this paper

Modelling Systemic Risk in the South African Banking Sector Using CoVar

Author

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 the South Africa (SA) banking sector. We measure the marginal contributions of each bank to systemic risk by computing the delta Conditional Value at Risk which measures the difference between […]

Suggested Citation

  • Mathias Manguzvane, 2017. "Modelling Systemic Risk in the South African Banking Sector Using CoVar," Working Papers 709, Economic Research Southern Africa.
    • Handle: RePEc:rza:wpaper:709
    as

    Download full text from publisher

    File URL: https://econrsa.org/wp-content/uploads/2022/06/working_paper_709.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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

    Keywords

    Banking Regulation; South Africa;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rza:wpaper:709. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maggi Sigg (email available below). General contact details of provider: https://edirc.repec.org/data/ersacza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.