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A comment on interest rate pass-through: a non-normal approach

  • Dong-Yop Oh
  • Hyejin LeeEmail author
  • Karl David Boulware
Article

Abstract

This paper revisits the question of interest rate pass-through from the federal funds rate to bank and open market rates from the years 1987 to 2015. We employ cointegration tests with improved testing power by using information in non-normal errors. Using this approach, we find evidence of cointegration between the federal funds rate and the prime rate, the federal funds rate and the 3-month financial commercial paper rate, but no evidence of cointegration between the federal funds rate and the 30-year conventional mortgage rate. Moreover, we estimate the degree of long-run pass-through for both the prime and commercial paper rates to be less than one. Our results confirm that there is not only significant co-movement between the federal funds rate and short-term borrowing rates, but also that interest rate pass-through, in the long run, is incomplete.

Keywords

Monetary policy Interest rate pass-through Cointegration analysis Non-normal errors RALS 

JEL Classification

E52 E43 E58 C12 C22 

References

  1. Aas K, Haff DH (2006) The generalized hyperbolic skew student’s t-distribution. J Financ Econom 4(2):275–309Google Scholar
  2. Aristei D, Gallo M (2014) Interest rate pass-through in the Euro area during the financial crisis: a multivariate regime-switching approach. J Policy Model 36(2):273–295Google Scholar
  3. Atesoglu HS (2003) Monetary transmission—federal funds rate and prime rate. J Post Keynes Econ 26(2):357–362Google Scholar
  4. Banerjee A, Dolado J, Mestre R (1998) Error-correction mechanism tests for cointegration in a single-equation framework. J Time Ser Anal 19:297–308Google Scholar
  5. Banerjee P, Arcabic V, Lee H (2017) Fourier ADL cointegration test to approximate smooth breaks with new evidence from crude oil market. Econ Model 67:114–124Google Scholar
  6. Bauwens L, Laurent S (2005) A new class of multivariate skew densities with application to GARCH models. J Bus Econ Stat 23(3):346–354Google Scholar
  7. Bohl MT, Siklos PL (2004) The bundesbank’s inflation policy and asymmetric behavior of the German term structure. Rev Int Econ 12:495–508Google Scholar
  8. De Bondt G (2002) Retail bank interest pass-through: new evidence at the euro area level. European Central Bank Working Paper No. 136, Frankfurt, GermanyGoogle Scholar
  9. Enders W, Siklos PL (2001) Cointegration and threshold adjustment. J Bus Econ Stat 19(2):166–176Google Scholar
  10. Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55(2):251–276Google Scholar
  11. Engle RF, Hendry DF, Richard J-F (1983) Exogeneity. Econometrica 51(2):277–304Google Scholar
  12. Ericsson NR, MacKinnon JG (2002) Distributions of error correction tests for cointegration. Econom J 5(2):285–318Google Scholar
  13. Freixas X, Rochet JC (1997) Microeconomics of banking. MIT Press, CambridgeGoogle Scholar
  14. Fuinhas JA, Marques AC (2012) Energy consumption and economic growth nexus in Portugal, Italy, Greece, Spain and Turkey: an ARDL bounds test approach (1965–2009). Energy Econ 34(2):511–517Google Scholar
  15. Gregory AW, Hansen BE (1996) Residual-based tests for cointegration in models with regime shifts. J Econom 70(1):99–126Google Scholar
  16. Hansen B (1994) Autoregressive conditional density estimation. Int Econ Rev 35:705–730Google Scholar
  17. Hansen B (1995) Rethinking the univariate approach to unit root testing: using covariates to increase power. Econom Theory 11:1148–1171Google Scholar
  18. Holton S, d’Acri CR (2018) Interest rate pass-through since the euro area crisis. J Bank Financ 96:277–291Google Scholar
  19. Horvath R, Kotlebova J, Sirnova M (2018) Interest rate pass-through in the euro area: financial fragmentation, balance sheet policies and negative rates. J Financ Stab 36:12–21Google Scholar
  20. Hristov N, Hulsewig O, Wollmershauser T (2014) The interest rate pass-through in the Euro area during the global financial crisis. J Bank Financ 48:104–119Google Scholar
  21. Im K, Schmidt P (2008) More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual-augmented least squares. J Econom 144:219–233Google Scholar
  22. Im K, Lee J, Tieslau MA (2014) More powerful unit root tests with non-normal errors. Festschrift in Honor of Peter Schmidt. Springer, New York, pp 315–342Google Scholar
  23. Jones MC, Faddy MJ (2003) A skew extension of the t-distribution, with applications. J R Stat Soc Ser B 65(2):159–174Google Scholar
  24. Kremers JJM, Ericsson NR, Dolado JJ (1992) The power of cointegration tests. Oxford Bull Econ Stat 54(3):325–348Google Scholar
  25. Kuttner KN (2018) Outside the box: unconventional monetary policy in the great recession and beyond. J Econ Perspect 32(4):121–146Google Scholar
  26. Kwapil C, Scharler J (2010) Interest rate pass-through, monetary policy rules and macroeconomic stability. J Int Money Financ 29(2):236–251Google Scholar
  27. Lee H, Lee J (2015) More powerful Engle–Granger cointegration tests. J Stat Comput Simul 85(15):3154–3171Google Scholar
  28. Lee H, Meng M, Lee J (2011) How do nonlinear unit root tests perform with non normal errors? Commun Stat Simul Comput 40(8):1182–1191Google Scholar
  29. Lee H, Lee J, Im K (2015) More powerful cointegration tests with non-normal errors. Stud Nonlin Dyn Econom 19(4):397–413Google Scholar
  30. Lee H, Oh D-Y, Meng M (2018) Stationarity and cointegration of health expenditure and GDP: in the presence of smooth structural shifts. Empir Econ.  https://doi.org/10.1007/s00181-018-1561-1 Google Scholar
  31. Li J, Lee J (2010) ADL tests for threshold cointegration. J Time Ser Anal 31(4):241–254Google Scholar
  32. Lothian JR, Taylor M (1996) Real exchange rate behavior: the recent float from the perspective of the past two centuries. J Polit Econ 104:488–510Google Scholar
  33. Mark N (1990) Real exchange rates in the long-run: an empirical investigation. J Int Econ 28:115–136Google Scholar
  34. Meng M, Payne JE, Lee J (2013) Convergence in per capita energy use among OECD countries. Energy Econ 36:536–545Google Scholar
  35. Patton A (2004) On the out-of-sample importance of skewness and asymmetric dependence for asset allocation. J Financ Econom 2(1):130–168Google Scholar
  36. Payne JE (2006) The response of the conventional mortgage rate to the federal funds rate: symmetric or asymmetric adjustment. Appl Financ Econ Lett 2:279–284Google Scholar
  37. Payne JE (2007) Interest rate pass through and asymmetries in adjustable rate mortgages. Appl Financ Econ 17(17):1369–1376Google Scholar
  38. Payne JE, Waters GA (2008) Interest rate pass through and asymmetric adjustment: evidence from the federal funds rate operating target period. Appl Econ 40(11):1355–1362Google Scholar
  39. Pesavento E (2004) Analytical evolution of the power of the tests for the absence of cointegration. J Econom 122:349–384Google Scholar
  40. Rudebusch GD (2009) The fed’s monetary policy response to the current crisis. FRBSF Economic Letter #2009-19Google Scholar
  41. Venter JH, de Jongh PJ (2002) Risk estimation using the normal inverse gaussian distribution. J Risk 4(2):1–24Google Scholar
  42. Williamson S (2015) The road to normal: new directions in monetary policy. Annual Report 2015, Federal Reserve Bank of St. LouisGoogle Scholar
  43. Zivot E (2000) The power of single equation tests for cointegration when the cointegrating vector is prespecified. Econom Theory 16:407–439Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Information SystemsAuburn University at MontgomeryMontgomeryUSA
  2. 2.Accounting, Economics and Finance DepartmentTuskegee UniversityTuskegeeUSA
  3. 3.Department of EconomicsWesleyan UniversityMiddletownUSA

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