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The rate elasticity of retail deposits in the United Kingdom: a macroeconomic investigation

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  • Chiu, Ching-Wai (Jeremy)

    (Bank of England)

  • Hill, John

    (Bank of England)

Abstract

This paper quantitatively studies the behaviour of major banks’ household deposit funding in the United Kingdom. We estimate a panel of Bayesian vector autoregressive models on a unique data set compiled by the Bank of England, and identify deposit demand and supply shocks, both to individual banks and in aggregate, using micro-founded sign restrictions. Based on the impulse responses, we estimate how much banks would be required to increase their deposit rates by to cover a deposit gap caused by funding shocks. Banks generally find it costly to bid-up for deposits to cover a funding gap in the short run. The elasticity of household deposits with respect to the interest rate paid are typically of the order of 0.3, indicating that retail deposits are rate-inelastic. But this varies across banks and the types of shock conditioned on. We also show evidence that banks are more vulnerable to deposit supply shocks than deposit demand shocks. Historical decompositions uncover plausible shock dynamics in the historical data.

Suggested Citation

  • Chiu, Ching-Wai (Jeremy) & Hill, John, 2015. "The rate elasticity of retail deposits in the United Kingdom: a macroeconomic investigation," Bank of England working papers 540, Bank of England.
  • Handle: RePEc:boe:boeewp:0540
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    1. Craig, Ben R. & Dinger, Valeriya, 2013. "Deposit market competition, wholesale funding, and bank risk," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3605-3622.
    2. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    3. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    4. Damar, H. Evren & Meh, Césaire A. & Terajima, Yaz, 2013. "Leverage, balance-sheet size and wholesale funding," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 639-662.
    5. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    6. Marek Jarocinski, 2010. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 833-868.
    7. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    8. Viral V. Acharya & Douglas Gale & Tanju Yorulmazer, 2011. "Rollover Risk and Market Freezes," Journal of Finance, American Finance Association, vol. 66(4), pages 1177-1209, August.
    9. Gertler, M. & Kiyotaki, N. & Prestipino, A., 2016. "Wholesale Banking and Bank Runs in Macroeconomic Modeling of Financial Crises," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1345-1425, Elsevier.
    10. Hyun Song Shin, 2009. "Reflections on Northern Rock: The Bank Run That Heralded the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 101-119, Winter.
    11. Beau, Emily & Hill, John & Hussain, Tanveer & Nixon, Dan, 2014. "Bank funding costs: what are they, what determines them and why do they matter?," Bank of England Quarterly Bulletin, Bank of England, vol. 54(4), pages 370-384.
    12. Corvoisier, Sandrine & Gropp, Reint, 2002. "Bank concentration and retail interest rates," Journal of Banking & Finance, Elsevier, vol. 26(11), pages 2155-2189, November.
    13. H. Evren Damar & Césaire Meh & Yaz Terajima, 2015. "Effects of Funding Portfolios on the Credit Supply of Canadian Banks," Staff Working Papers 15-10, Bank of Canada.
    14. Ferre Graeve & Alexei Karas, 2014. "Evaluating Theories Of Bank Runs With Heterogeneity Restrictions," Journal of the European Economic Association, European Economic Association, vol. 12(4), pages 969-996, August.
    15. Steven C. Salop, 1979. "Monopolistic Competition with Outside Goods," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 141-156, Spring.
    16. de Bondt, Gabe, 2002. "Retail bank interest rate pass-through: new evidence at the euro area level," Working Paper Series 136, European Central Bank.
    17. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
    18. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    19. McQuinn, Kieran & Woods, Maria, 2012. "Modelling the corporate deposits of Irish financial institutions: 2009 - 2010," Research Technical Papers 02/RT/12, Central Bank of Ireland.
    20. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    21. Rughoo, Aarti & Sarantis, Nicholas, 2014. "The global financial crisis and integration in European retail banking," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 28-41.
    22. Bruche, Max & Suarez, Javier, 2010. "Deposit insurance and money market freezes," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 45-61, January.
    23. Leo de Haan & Jan Willem van den End & Philip Vermeulen, 2017. "Lenders on the storm of wholesale funding shocks: saved by the central bank?," Applied Economics, Taylor & Francis Journals, vol. 49(46), pages 4679-4703, October.
    24. Heffernan, Shelagh A., 2002. "How do UK financial institutions really price their banking products?," Journal of Banking & Finance, Elsevier, vol. 26(10), pages 1997-2016, October.
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    Cited by:

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    2. Mpho Rapapali & Daan Steenkamp, 2020. "Developments in bank funding costs in South Africa," Working Papers 9818, South African Reserve Bank.
    3. Hoffmann, Mathias & Maslov, Egor & Sørensen, Bent E., 2022. "Small firms and domestic bank dependence in Europe's great recession," Journal of International Economics, Elsevier, vol. 137(C).
    4. Christian Keuschnigg & Michael Kogler & Johannes Matt, 2022. "Banks, Credit Reallocation, and Creative Destruction," CESifo Working Paper Series 10093, CESifo.
    5. Jack Meaning & Ben Dyson & James Barker & Emily Clayton, 2021. "Broadening Narrow Money: Monetary Policy with a Central Bank Digital Currency," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 1-42, June.
    6. Jed Armstrong & Nicholas Mulligan, 2017. "Diving in the deep end of domestic deposits," Reserve Bank of New Zealand Analytical Notes series AN2017/05, Reserve Bank of New Zealand.
    7. Emilia Anuta Corovei & Adela Socol, 2019. "The Macroeconomic Drivers for Household Deposits Growth in the Eurozone," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 144-151, September.

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    More about this item

    Keywords

    Retail deposits behaviour; Bayesian panel-VAR; sign restrictions.;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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