IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v14y2014i6p1059-1068.html
   My bibliography  Save this article

Banks' interest rate risk: the net interest income perspective versus the market value perspective

Author

Listed:
  • Christoph Memmel

Abstract

We use portfolios of passive investment strategies to replicate the interest risk of banks' banking books. The following empirical statements are derived. (i) Changes in banks' market value and in their net interest income are highly correlated, irrespective of the banks' portfolio composition. (ii) However, banks' portfolio composition has a huge impact on the ratio of changes in net interest income relative to changes in market value. These results are important for the design and interpretation of interest rate stress tests for banks.

Suggested Citation

  • Christoph Memmel, 2014. "Banks' interest rate risk: the net interest income perspective versus the market value perspective," Quantitative Finance, Taylor & Francis Journals, vol. 14(6), pages 1059-1068, June.
  • Handle: RePEc:taf:quantf:v:14:y:2014:i:6:p:1059-1068
    DOI: 10.1080/14697688.2011.630326
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2011.630326
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2011.630326?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. Robert R. Bliss, 1997. "Movements in the term structure of interest rates," Economic Review, Federal Reserve Bank of Atlanta, vol. 82(Q 4), pages 16-33.
    2. William B English, 2002. "Interest rate risk and bank net interest margins," BIS Quarterly Review, Bank for International Settlements, December.
    3. Wilkens, Marco & Memmel, Christoph & Entrop, Oliver & Zeisler, Alexander, 2008. "Analyzing the interest rate risk of banks using time series of accounting-based data: evidence from Germany," Discussion Paper Series 2: Banking and Financial Studies 2008,01, Deutsche Bundesbank.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Claußen, Catharina & Platte, Daniel, 2023. "Evaluating the validity of regulatory interest rate risk measures – a simulation approach," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Dräger Vanessa & Heckmann-Draisbach Lotta & Memmel Christoph, 2021. "Interest and credit risk management in German banks: Evidence from a quantitative survey," German Economic Review, De Gruyter, vol. 22(1), pages 63-95, February.
    3. Li Xian Liu & Milind Sathye, 2019. "Bank Interest Rate Margin, Portfolio Composition and Institutional Constraints," JRFM, MDPI, vol. 12(3), pages 1-21, July.
    4. Busch, Ramona & Memmel, Christoph, 2021. "Why are interest rates on bank deposits so low?," Discussion Papers 46/2021, Deutsche Bundesbank.
    5. Busch, Ramona & Memmel, Christoph, 2015. "Banks' net interest margin and the level of interest rates," Discussion Papers 16/2015, Deutsche Bundesbank.
    6. Ramona Busch & Helge C. N. Littke & Christoph Memmel & Simon Niederauer, 2022. "German banks’ behavior in the low interest rate environment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 267-296, September.
    7. Schmidhammer, Christoph & Hille, Vanessa & Wiedemann, Arnd, 2020. "Performance of maturity transformation strategies," Discussion Papers 58/2020, Deutsche Bundesbank.
    8. Serhat Yuksel & Sinemis Zengin, 2016. "Identifying the Determinants of Interest Rate Risk of the Banks," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(6), pages 12-28, October.

    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. Memmel, Christoph, 2011. "Banks' exposure to interest rate risk, their earnings from term transformation, and the dynamics of the term structure," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 282-289, February.
    2. Memmel, Christoph & Heckmann-Draisbach, Lotta, 2023. "Banks' net interest margin and changes in the term structure," Discussion Papers 11/2023, Deutsche Bundesbank.
    3. Esposito, Lucia & Nobili, Andrea & Ropele, Tiziano, 2015. "The management of interest rate risk during the crisis: Evidence from Italian banks," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 486-504.
    4. Ramona Busch & Christoph Memmel, 2016. "Quantifying the components of the banks’ net interest margin," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(4), pages 371-396, November.
    5. Schmidhammer, Christoph & Hille, Vanessa & Wiedemann, Arnd, 2020. "Performance of maturity transformation strategies," Discussion Papers 58/2020, Deutsche Bundesbank.
    6. Kargin, V. & Onatski, A., 2008. "Curve forecasting by functional autoregression," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2508-2526, November.
    7. Albert DePrince & Pamela Morris, 2007. "A longitudinal study of net interest margin by bank asset size: 1992–2005," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 31(1), pages 20-32, March.
    8. Borus Jungbacker & Siem Jan Koopman & Michel van der Wel, 0000. "Dynamic Factor Models with Smooth Loadings for Analyzing the Term Structure of Interest Rates," Tinbergen Institute Discussion Papers 09-041/4, Tinbergen Institute, revised 17 Sep 2010.
    9. Hans Dewachter & Konstantijn Maes & Kristien Smedts, 2003. "Monetary unification and the price of risk: An unconditional analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(2), pages 276-305, June.
    10. Park, Byeong U. & Mammen, Enno & Härdle, Wolfgang & Borak, Szymon, 2009. "Time Series Modelling With Semiparametric Factor Dynamics," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 284-298.
    11. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    12. Nguena Christian Lambert & Tsafack Nanfosso Roger, 2014. "On the Sensitivity of Banking Activity Shocks: Evidence from the CEMAC Sub-region," Economics Bulletin, AccessEcon, vol. 34(1), pages 354-372.
    13. repec:hum:wpaper:sfb649dp2005-024 is not listed on IDEAS
    14. repec:hum:wpaper:sfb649dp2008-017 is not listed on IDEAS
    15. Molyneux, Philip & Reghezza, Alessio & Xie, Ru, 2019. "Bank margins and profits in a world of negative rates," Journal of Banking & Finance, Elsevier, vol. 107(C), pages 1-1.
    16. Barros Luís, Jorge & Cassola, Nuno, 2001. "A two-factor model of the German term structure of interest rates," Working Paper Series 46, European Central Bank.
    17. Schuermann, Til, 2014. "Stress testing banks," International Journal of Forecasting, Elsevier, vol. 30(3), pages 717-728.
    18. Argyropoulos Efthymios & Tzavalis Elias, 2015. "Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 49-70, February.
    19. Jugnu Ansari & Ashima Goyal, 2014. "Bank Competition, Managerial Efficiency and the Interest Rate Pass-Through in India," Contemporary Studies in Economic and Financial Analysis, in: Risk Management Post Financial Crisis: A Period of Monetary Easing, volume 96, pages 317-339, Emerald Group Publishing Limited.
    20. Chiara Sabelli & Michele Pioppi & Luca Sitzia & Giacomo Bormetti, 2014. "Multi-curve HJM modelling for risk management," Papers 1411.3977, arXiv.org, revised Oct 2015.
    21. Mr. Andrea Pescatori & Mr. Juan Sole, 2016. "Credit, Securitization and Monetary Policy: Watch Out for Unintended Consequences," IMF Working Papers 2016/076, International Monetary Fund.
    22. Drobyshevsky Sergey & Lugovoy Oleg & Astafieva Ekaterina & Burkova N. Yu., 2009. "Modeling the term structure of interest rates on Russian government bonds in 2000 – 2008," Research Paper Series, Gaidar Institute for Economic Policy, issue 130P.

    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:taf:quantf:v:14:y:2014:i:6:p:1059-1068. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.