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Changes in Monetary Policy Conduct and Their Effects on Banking Spreads

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  • J. Rodrigo Fuentes
  • Verónica Mies

Abstract

This paper explores whether monetary policy and the denomination of its operative instrument affects banks’ intermediation spread in the Chilean economy. After dividing the sample into pre- and post nominalization periods, the evidence shows a positive correlation between the monetary policy interest rate and banking spreads before the nominalization period, but loses significance in the post nominalization period. This is true for rises and cuts of the rate, so there is no evidence of asymmetries. Two additional interesting results are that i) the increase in the sector’s market concentration has prompted a reduction in intermediation spreads, and ii) the volatility of the market interest rate, controlling for the year 1998, generates an increase in them. Finally, it is worth noting that the sensitivity of banking spreads to the interest rate variance (that includes exchange rate depreciation and inflation in UF) has increased strongly during the nominalization period.

Suggested Citation

  • J. Rodrigo Fuentes & Verónica Mies, 2007. "Changes in Monetary Policy Conduct and Their Effects on Banking Spreads," Working Papers Central Bank of Chile 428, Central Bank of Chile.
    • Handle: RePEc:chb:bcchwp:428
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    References listed on IDEAS

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    1. Berger, Allen N, 1995. "The Relationship between Capital and Earnings in Banking," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(2), pages 432-456, May.
    2. Solange Berstein & Rodrigo Fuentes, 2005. "Concentration and Price Rigidity: Evidence for the Deposit Market in Chile," Money Affairs, CEMLA, vol. 0(1), pages 1-22, January-J.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, July.
    5. Solange Berstein & J. Rodrigo Fuentes, 2004. "Is There Lendign Rate Stickiness in the Chilean Banking Industry?," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Antonio Ahumada & J. Rodrigo Fuentes & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking Market Structure and Monetary Policy, edition 1, volume 7, chapter 6, pages 183-210, Central Bank of Chile.
    6. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    7. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    8. Angbazo, Lazarus, 1997. "Commercial bank net interest margins, default risk, interest-rate risk, and off-balance sheet banking," Journal of Banking & Finance, Elsevier, vol. 21(1), pages 55-87, January.
    9. Ho, Thomas S. Y. & Saunders, Anthony, 1981. "The Determinants of Bank Interest Margins: Theory and Empirical Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(4), pages 581-600, November.
    10. Hannan, Timothy H & Berger, Allen N, 1991. "The Rigidity of Prices: Evidence from the Banking Industry," American Economic Review, American Economic Association, vol. 81(4), pages 938-945, September.
    11. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
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