IDEAS home Printed from https://ideas.repec.org/a/pal/risman/v25y2023i4d10.1057_s41283-023-00131-3.html
   My bibliography  Save this article

Assessing and forecasting the market risk of bank securities holdings: a data-driven approach

Author

Listed:
  • Michele Leonardo Bianchi

    (Financial Stability Directorate, Banca d’Italia)

Abstract

We use granular information on securities holdings from 2008 to 2021 to estimate the market risk of Italian bank securities portfolios. The market risk is measured by the value-at-risk and the expected shortfall. The main advantages of our approach are the following: (1) profits and losses are computed through simple operations and without the need of complex calibration algorithms; (2) we are able to incorporate all market data available in Refinitiv; and (3) the risk measures can be estimated for all banks located in Italy, irrespective if the bank has validated internal models for market risk or not. Finally, we conduct an econometric analysis to identify the main drivers of market risk and to perform a forecasting exercise.

Suggested Citation

  • Michele Leonardo Bianchi, 2023. "Assessing and forecasting the market risk of bank securities holdings: a data-driven approach," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-23, December.
  • Handle: RePEc:pal:risman:v:25:y:2023:i:4:d:10.1057_s41283-023-00131-3
    DOI: 10.1057/s41283-023-00131-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41283-023-00131-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41283-023-00131-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pérignon, Christophe & Deng, Zi Yin & Wang, Zhi Jun, 2008. "Do banks overstate their Value-at-Risk?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 783-794, May.
    2. Michele Leonardo Bianchi & Stoyan V Stoyanov & Gian Luca Tassinari & Frank J Fabozzi & Sergio M Focardi, 2019. "Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11118, January.
    3. Abad, Jorge & Aldasoro, Iñaki & Aymanns, Christoph & D'Errico, Marco & Hoffmann, Peter & Langfield, Sam & Neychev, Martin & Roukny, Tarik & Rousová, Linda, 2016. "Shedding light on dark markets: First insights from the new EU-wide OTC derivatives dataset," ESRB Occasional Paper Series 11, European Systemic Risk Board.
    4. Pritsker, Matthew, 2006. "The hidden dangers of historical simulation," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 561-582, February.
    5. Michele Leonardo Bianchi & Gian Luca Tassinari, 2020. "Forward-looking portfolio selection with multivariate non-Gaussian models," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1645-1661, October.
    6. Hüser, Anne-Caroline & Kok, Christoffer, 2019. "Mapping bank securities across euro area sectors: comparing funding and exposure networks," Working Paper Series 2273, European Central Bank.
    7. Justus Inhoffen & Iman van Lelyveld, 2020. "Financial Stability: New, Detailed Datasets Allow for Innovation of Stress Tests," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 10(3), pages 17-25.
    8. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    9. Mark Lichtner, 2019. "How to choose the return model for market risk? Getting towards a right magnitude of stressed VaR," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1391-1407, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James M. O'Brien & Pawel J. Szerszen, 2014. "An Evaluation of Bank VaR Measures for Market Risk During and Before the Financial Crisis," Finance and Economics Discussion Series 2014-21, Board of Governors of the Federal Reserve System (U.S.).
    2. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    3. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    5. Pérignon, Christophe & Smith, Daniel R., 2010. "The level and quality of Value-at-Risk disclosure by commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 362-377, February.
    6. Frésard, Laurent & Pérignon, Christophe & Wilhelmsson, Anders, 2011. "The pernicious effects of contaminated data in risk management," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2569-2583, October.
    7. Pérignon, Christophe & Smith, Daniel R., 2010. "Diversification and Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 55-66, January.
    8. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    9. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    10. Massimo Arnone & Michele Leonardo Bianchi & Anna Grazia Quaranta & Gian Luca Tassinari, 2021. "Catastrophic risks and the pricing of catastrophe equity put options," Computational Management Science, Springer, vol. 18(2), pages 213-237, June.
    11. Michele Leonardo Bianchi & Asmerilda Hitaj & Gian Luca Tassinari, 2020. "Multivariate non-Gaussian models for financial applications," Papers 2005.06390, arXiv.org.
    12. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    13. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
    14. Bianchi, Michele Leonardo & De Luca, Giovanni & Rivieccio, Giorgia, 2023. "Non-Gaussian models for CoVaR estimation," International Journal of Forecasting, Elsevier, vol. 39(1), pages 391-404.
    15. Michele Leonardo Bianchi & Giovanni De Luca & Giorgia Rivieccio, 2020. "CoVaR with volatility clustering, heavy tails and non-linear dependence," Papers 2009.10764, arXiv.org.
    16. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    17. Koijen, Ralph S.J. & Koulischer, François & Nguyen, Benoît & Yogo, Motohiro, 2021. "Inspecting the mechanism of quantitative easing in the euro area," Journal of Financial Economics, Elsevier, vol. 140(1), pages 1-20.
    18. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2013. "A comparison of the original and revised Basel market risk frameworks for regulating bank capital," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 249-268.
    19. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2012. "When more is less: Using multiple constraints to reduce tail risk," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2693-2716.
    20. D’Errico, Marco & Battiston, Stefano & Peltonen, Tuomas & Scheicher, Martin, 2018. "How does risk flow in the credit default swap market?," Journal of Financial Stability, Elsevier, vol. 35(C), pages 53-74.

    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:pal:risman:v:25:y:2023:i:4:d:10.1057_s41283-023-00131-3. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.