IDEAS home Printed from https://ideas.repec.org/a/rfb/journl/v06y2014i2p069-080.html
   My bibliography  Save this article

Main Romanian Commercial Banks’ Systemic Risk during Financial Crisis: a CoVar Approach

Author

Listed:
  • Gabriela Anghelache
  • Dumitru-Cristian Oanea

Abstract

This paper aims to estimate the effects of contagion on the three Romanian commercial banks during financial crisis period, by using the CoVaR methodology. The motivation in choosing this topic is represented by the fact there is little research on systemic risk and contagion in the Romanian banking sector. The results of this paper highlight that the largest contribution to the daily losses of the most important commercial banks is given by Carpatica, while the lowest contribution is given by Transilvania. Moreover, we obtained that the Carpatica has the highest impact on both BRD and Transilvania, while Transilvania has the smallest impact.

Suggested Citation

  • Gabriela Anghelache & Dumitru-Cristian Oanea, 2014. "Main Romanian Commercial Banks’ Systemic Risk during Financial Crisis: a CoVar Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 6(2), pages 069-080, December.
  • Handle: RePEc:rfb:journl:v:06:y:2014:i:2:p:069-080
    as

    Download full text from publisher

    File URL: http://www.rfb.ase.ro/articole/articol_II_nr6v2.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. repec:fip:fedhpr:y:2010:i:may:p:65-71 is not listed on IDEAS
    2. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    3. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    4. López-Espinosa, Germán & Moreno, Antonio & Rubia, Antonio & Valderrama, Laura, 2012. "Short-term wholesale funding and systemic risk: A global CoVaR approach," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3150-3162.
    5. Dumitru Cristian OANEA & Victoria Gabriela ANGHELACHE & Bogdan ZUGRAVU, 2013. "Econometric Model for Risk Forecasting," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 123-127, May.
    6. Nicola Borri & Marianna Caccavaio & Giorgio Di Giorgio & Alberto Maria Sorrentino, 2012. "Systemic Risk and the European Banking Sector," Working Papers CASMEF 1211, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    7. McMillan, David G. & Kambouroudis, Dimos, 2009. "Are RiskMetrics forecasts good enough? Evidence from 31 stock markets," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 117-124, June.
    8. Victoria Gabriela ANGHELACHE & Dumitru Cristian OANEA & Bogdan ZUGRAVU, 2013. "General Aspects Regarding the Methodology for Prediction Risk," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 66-72, May.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    11. Rungporn Roengpitya & Phurichai Rungcharoenkitkul, 2010. "Measuring Systemic Risk And Financial Linkages In The Thai Banking System," Working Papers 2010-02, Monetary Policy Group, Bank of Thailand.
    12. Bogdan ZUGRAVU & Dumitru Cristian OANEA & Victoria Gabriela ANGHELACHE, 2013. "Analysis Based on the Risk Metrics Model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 145-154, May.
    13. Mauro Bernardi & Ghislaine Gayraud & Lea Petrella, 2013. "Bayesian inference for CoVaR," Papers 1306.2834, arXiv.org, revised Nov 2013.
    14. Robert Sollis, 2009. "Value at risk: a critical overview," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 17(4), pages 398-414, November.
    15. Viral V. Acharya, 2010. "Measuring systemic risk," Proceedings 1140, Federal Reserve Bank of Chicago.
    16. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:rfb:journl:v:06:y:2014:i:2:p:069-080. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tatu Lucian). General contact details of provider: http://edirc.repec.org/data/ffasero.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.