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Interest rate pass-through: a nonlinear vector error-correction approach

  • Michal Ksawery Popiel EMAIL logo

Abstract

This paper analyzes pass-through from money market rates to consumer retail loan and deposit rates in Canada from 1983 to 2015 using a nonlinear vector error-correction model. This model permits estimation of long-run pass-through coefficients while simultaneously accounting for asymmetric adjustments and short-run dynamics. In contrast to empirical frameworks used in previous studies, it also allows testing of commonly made assumptions such as exogeneity of the market rate, making inference more robust. I find that pass-through was complete for all rates before the financial crisis although only after the mid 1990s for the 1 year mortgage rate. Since the end of the 2008–2009 recession, pass-through remains complete in the mortgage market but has significantly declined for deposit rates. Furthermore, many rates adjust asymmetrically but the direction of rigidity differs among rates and time periods.

A Appendix

Table 11:

Hypothesis test results for deposit rates.

Conditional
TermTimeH1,2δH1α,δ|HβH2α,δ|HβHβ|H2α,δ
FTD 3 months’83-’9611.2414.62***0.143.61*
’96-’078.975.10*0.50
’09-’15137.147.68**0.693.64
GIC 1 year’83-’963.8998.26***0.000.28
’96-’075.4678.15***1.321.04
’09-’1520.69**3.0714.22**
GIC 3 years’83-’9661.65***109.19***
’96-’0727.44***102.25***0.710.01
’09-’151.793.79*2.0817.83***
GIC 5 years’83-’9616.56***37.55***2.372.34
’96-’0710.17*59.54***2.362.91
’09-’1544.085.62**0.3816.81***
FTD 5 years’83-’9616.24***24.41***1.5923.35***
’96-’0713.14**1.326.60**
’09-’1521.34*1.8537.34**
  1. This table reports the likelihood ratio test statistics for each of the hypotheses of interest in the following order: (1) H1,2δ tests for the presence of asymmetric adjustments in the error-correction; (2)–(3) Hiα,δ|Hβ for i ∈ {1, 2} tests for weak exogeneity of the market rate and retail rate, respectively, conditional on complete pass-through; and (4) Hβ|H2α,δ tests for complete pass-through conditional on weak exogeneity. Results are based on 4999 bootstrap samples. Statistical significance at the 10%, 5%, and 1% level is denoted by , ∗∗, and ∗∗∗, respectively. If the roots of the characteristic polynomial are inside the unit circle for a given hypothesis, the LR statistic is not reported.

Table 12:

Hypothesis test results for deposit rates before change in deposit insurance limit.

UnconditionalConditionalJoint
RateTimeH1,2δHβH1α,δH2α,δH2α,δ,ΓH¯2α,δ,ΓH¯βH2α,δ,ΓHβ
FTD 3 months’96-’045.642.8123.43***2.592.691.481.604.29
GIC 1 year’96-’046.250.0760.91***0.140.220.250.110.33
GIC 3 years’96-’0426.30***0.421.872.012.110.522.53
GIC 5 years’96-’0413.13**0.9468.55***5.90*7.85*7.13*0.238.08
FTD 5 years’96-’0416.43**2.0267.36***4.726.055.491.477.51
  1. This table reports the likelihood ratio test statistics for each of the hypotheses of interest in the following order: (1) H1,2δ tests for the presence of asymmetric adjustments in the error-correction; (2) Hβ tests for complete pass-through; (3)–(4) Hiα,δ for i ∈ {1, 2} tests for weak exogeneity of the market rate and retail rate, respectively; (5) H2α,δ,Γ tests for strong exogeneity of the market rate; (6) H¯2α,δ,Γ tests for strong exogeneity conditional on complete pass-through; (7) H¯β tests for complete pass-through conditional on strong exogeneity of the market rate; and (8) H2α,δ,ΓHβ tests the joint hypothesis of complete pass-through and strong exogeneity of the market rate. Results are based on 4999 bootstrap samples. Statistical significance at the 10%, 5%, and 1% level is denoted by , ∗∗, and ∗∗∗, respectively. If the roots of the characteristic polynomial are inside the unit circle for a given hypothesis, the LR statistic is not reported.

Table 13:

Coefficient estimates for deposit rates before change in deposit insurance limit.

RateTimeβρα1α2δ1δ2ψ
FTD 3 months’96-’04−1.0001.660−0.0550
GIC 1 year’96-’04−1.0001.323−0.1740
GIC 3 years’96-’04−1.0000.842−0.61300.5430824.678
GIC 5 years’96-’04−1.0000.713−0.31600.24305.728
FTD 5 years’96-’04−1.0000.837−0.34300.27107.916
  1. This table reports the coefficient estimates from the final restricted models: β and ρ are the coefficients for pass-through and markup; αi and δi are the linear and nonlinear adjustment coefficients, respectively – subscript 1 is for the retail rate and 2 is for the market rate – and ψ is the parameter determining the behaviour of the logistic function.

Table 14:

Hypothesis test results for mortgage rates.

Conditional
TermTimeH1,2δH1α,δ|HβH2α,δ|HβHβ|H2α,δ
MR 1 year’83-’9643.65***79.21***2.5242.70***
’96-’079.8213.74***0.010.03
’00-’078.94*38.28***0.100.20
’09-’155.097.82**2.540.03
MR 3 years’83-’9634.27***79.30***0.540.02
’96-’074.7917.69***0.012.71
’01-’072.1629.18***0.010.23
’09-’1535.94***56.28***0.884.13
MR 5 years’83-’9615.27***39.65***0.230.43
’96-’076.036.37*0.820.77
’00-’071.1540.56***0.460.03
’09-’1561.71***0.1917.59**
  1. This table reports the likelihood ratio test statistics for each of the hypotheses of interest in the following order: (1) H1,2δ tests for the presence of asymmetric adjustments in the error-correction; (2)–(3) Hiα,δ|Hβ for i ∈ {1, 2} tests for weak exogeneity of the market rate and retail rate, respectively, conditional on complete pass-through; and (4) Hβ|H2α,δ tests for complete pass-through conditional on weak exogeneity. Results are based on 4999 bootstrap samples. Statistical significance at the 10%, 5%, and 1% level is denoted by , ∗∗, and ∗∗∗, respectively. If the roots of the characteristic polynomial are inside the unit circle for a given hypothesis, the LR statistic is not reported.

Table 15:

Hypothesis test results for mortgage rates with swaps.

Conditional
TermTimeH1,2δH1α,δ|HβH2α,δ|HβHβ|H2α,δ
MR 1 year’00-’075.7835.90***0.583.21*
’09-’157.866.62**3.40*0.00
MR 3 years’96-’075.8712.72***0.240.65
’00-’0710.90**40.77***0.601.52
’09-’1515.0518.90***1.120.07
MR 5 years’96-’073.198.73**0.031.16
’00-’070.7556.21***0.020.00
’09-’1567.37***47.96***
  1. This table reports the likelihood ratio test statistics for each of the hypotheses of interest in the following order: (1) H1,2δ tests for the presence of asymmetric adjustments in the error-correction; (2)–(3) Hiα,δ|Hβ for i ∈ {1, 2} tests for weak exogeneity of the market rate and retail rate, respectively, conditional on complete pass-through; and (4) Hβ|H2α,δ tests for complete pass-through conditional on weak exogeneity. Results are based on 4999 bootstrap samples. Statistical significance at the 10%, 5%, and 1% level is denoted by , ∗∗, and ∗∗∗, respectively. If the roots of the characteristic polynomial are inside the unit circle for a given hypothesis, the LR statistic is not reported.

References

Allen, J., R. Clark, and J. Houde. 2012.. “Price Negotiation in Differentiated Products Markets: Evidence from the Canadian Mortgage Market.”Bank of Canada Working Paper 2012-30.10.2139/ssrn.2126625Search in Google Scholar

Allen, J., R. Clark, and J.-F. Houde. 2014a. “Price Dispersion in Mortgage Markets.” The Journal of Industrial Economics 62: 377–416.10.1111/joie.12046Search in Google Scholar

Allen, J., R. Clark, and J.-F. Houde. 2014b. “The Effect of Mergers in Search Markets: Evidence from the Canadian Mortgage Industry.” American Economic Review 104: 3365–3396.10.1257/aer.104.10.3365Search in Google Scholar

Allen, J., and D. McVanel. 2009.. “Price Movements in the Canadian Residential Mortgage Market.”Bank of Canada Working Paper 2009-13.Search in Google Scholar

Aristei, D., and M. Gallo. 2014. “Interest Rate Pass-Through in the Euro Area During the Financial Crisis: A Multivariate Regime-Switching Approach.” Journal of Policy Modeling 36: 273–295.10.1016/j.jpolmod.2013.12.002Search in Google Scholar

Becker, R., D. R. Osborn, and D. Yildirim. 2012. “A Threshold Cointegration Analysis of Interest Rate Pass-Through to UK Mortgage Rates.” Economic Modelling 29: 2504–2513.10.1016/j.econmod.2012.08.004Search in Google Scholar

Beckmann, J., A. Belke, and R. Czudaj. 2014. “The Importance of Global Shocks for National Policymakers – Rising Challenges for Sustainable Monetary Policies.” The World Economy 37: 1101–1127.10.1111/twec.12127Search in Google Scholar

Belke, A., J. Beckmann, and F. Verheyen. 2013. “Interest Rate Pass-Through in the EMU–New Evidence from Nonlinear Cointegration Techniques for Fully Harmonized Data.” Journal of International Money and Finance 37: 1–24.10.1016/j.jimonfin.2013.05.006Search in Google Scholar

Belke, A., and C. Dreger. 2015. “The Transmission of Oil and Food Prices to Consumer Prices.” International Economics and Economic Policy 12: 143–161.10.1007/s10368-014-0283-xSearch in Google Scholar

Belke, A., and A. Rees. 2014. “Globalisation and Monetary Policy – A FAVAR Analysis for the G7 and the Eurozone.” The North American Journal of Economics and Finance 29: 306–321.10.1016/j.najef.2014.06.003Search in Google Scholar

Belke, A. H., D. Gros, and T. U. Osowski. 2016.. “Did Quantitative Easing Affect Interest Rates Outside the US? New Evidence Based on Interest Rate Differentials.”CEPS Working DocumentJanuary 26, 2016.Search in Google Scholar

Berger, A. N., and T. H. Hannan. 1989. “The Price-Concentration Relationship in Banking.” The Review of Economics and Statistics 71: 291–299.10.2307/1926975Search in Google Scholar

Berger, A. N., and T. H. Hannan. 1991. “The Rigidity of Prices: Evidence from the Banking Industry.” American Economic Review 81: 938–945.Search in Google Scholar

Boswijk, H. P., G. Cavaliere, A. Rahbek, and A. Taylor. 2013.. “Inference on Co-integration Parameters in Heteroskedastic Vector Autoregressions.”Tinbergen Institute Working Paper 13-187.10.2139/ssrn.2359441Search in Google Scholar

Clinton, K., and D. Howard. 1994.. “From Monetary Policy Instruments to Administered Interest Rates: The Transmission Mechanism in Canada.”Technical report, Bank of Canada No. 69.Search in Google Scholar

Cottarelli, C., and A. Kourelis. 1994. “Financial Structure, Bank Lending Rates, and the Transmission Mechanism of Monetary Policy.” Staff Papers (International Monetary Fund) 41: 1–61.10.2307/3867521Search in Google Scholar

Crawford, A., C. Meh, and J. Zhou. 2013. “The Residential Mortgage Market in Canada: A Primer.” Financial System Review 53–63.Search in Google Scholar

Cross, P., and P. Bergevin. 2012. “Turning Points: Business Cycles in Canada Since 1926.” CD Howe Institute Commentary. 366.10.2139/ssrn.2176382Search in Google Scholar

Cushman, D. O., and T. Zha. 1997. “Identifying Monetary Policy in a Small Open Economy Under Flexible Exchange Rates.” Journal of Monetary Economics 39: 433–448.10.1016/S0304-3932(97)00029-9Search in Google Scholar

Day, J., and G. Tkacz. 2005. “Developments in the Canadian Residential Mortgage Market: New Technology, Competition, and Strategies.” Technical report, Bank of Canada Financial Systems Review. June.Search in Google Scholar

De Bondt, G. J.. 2005. “Interest Rate Pass-Through: Empirical Results for the Euro Area.” German Economic Review 6: 37–78.10.1111/j.1465-6485.2005.00121.xSearch in Google Scholar

Dixit, A. K., and R. S. Pindyck. 1994. Investment Under Uncertainty Princeton, NJ: Princeton University Press.10.1515/9781400830176Search in Google Scholar

Dodge, D.. 2002. “Inflation Targeting in Canada: Experience and Lessons.” The North American Journal of Economics and Finance 13: 113–124.10.1016/S1062-9408(02)00063-3Search in Google Scholar

Driscoll, J. C., and R. Judson. 2013.. “Sticky Deposit Rates.”Federal Reserve Working Paper 2013-80.10.2139/ssrn.2357993Search in Google Scholar

Güntner, J. H.. 2011. “Competition Among Banks and the Pass-Through of Monetary Policy.” Economic Modelling 28: 1891–1901.10.1016/j.econmod.2011.03.015Search in Google Scholar

Hansen, H., and S. Johansen. 1999. “Some Tests for Parameter Constancy in Cointegrated VAR-models.” The Econometrics Journal 2: 306–333.10.1111/1368-423X.00035Search in Google Scholar

Hristov, N., O. Hülsewig, and T. Wollmershäuser. 2014. “The Interest Rate Pass-Through in the Euro Area During the Global Financial Crisis.” Journal of Banking & Finance 48: 104–119.10.1016/j.jbankfin.2014.08.004Search in Google Scholar

Hülsewig, O., E. Mayer, and T. Wollmershäuser. 2009. “Bank Behavior, Incomplete Interest Rate Pass-Through, and the Cost Channel of Monetary Policy Transmission.” Economic Modelling 26: 1310–1327.10.1016/j.econmod.2009.06.007Search in Google Scholar

Illes, A., and M. J. Lombardi. 2013. “Interest Rate Pass-Through Since the Financial Crisis.” BIS Quarterly Review, September 57–66.Search in Google Scholar

Jansson, M., and M. O. Nielsen. 2012. “Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis.” Econometrica 80: 2321–2332.10.3982/ECTA10306Search in Google Scholar

Johansen, S.. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models New York, NY: Oxford University Press.10.1093/0198774508.001.0001Search in Google Scholar

Karagiannis, S., Y. Panagopoulos, and P. Vlamis. 2010. “Interest Rate Pass-Through in Europe and the US: Monetary Policy After the Financial Crisis.” Journal of Policy Modeling 32: 323–338.10.1016/j.jpolmod.2010.02.006Search in Google Scholar

Karagiannis, S., Y. Panagopoulos, and P. Vlamis. 2014. “The Response of Bank Retail Rates to Money Market Rates in the BRIC Economies: An Application of the Disaggregated GETS Model.” Emerging Markets Finance and Trade 50: 153–168.10.2753/REE1540-496X500209Search in Google Scholar

Kleimeier, S., and H. Sander. 2006. “Expected Versus Unexpected Monetary Policy Impulses and Interest Rate Pass-Through in Euro-Zone Retail Banking Markets.” Journal of Banking & Finance 30: 1839–1870.10.1016/j.jbankfin.2005.07.006Search in Google Scholar

Klein, M. A.. 1971. “A Theory of the Banking Firm.” Journal of Money, Credit and Banking 3: 205–218.10.2307/1991279Search in Google Scholar

Kristensen, D., and A. Rahbek. 2013. “Testing and Inference in Nonlinear Cointegrating Vector Error Correction Models.” Econometric Theory 29: 1238–1288.10.1017/S0266466613000054Search in Google Scholar

Lundrigan, E., and S. Toll. 1998. “The Overnight Market in Canada” Bank of Canada Review, Winter 27–42.Search in Google Scholar

Marotta, G.. 2009. “Structural Breaks in the Lending Interest Rate Pass-Through and the Euro.” Economic Modelling 26: 191–205.10.1016/j.econmod.2008.06.011Search in Google Scholar

Monti, M.. 1972. “Deposit, Credit, and Interest Rate Determination Under Alternative Bank Objectives.” Mathematical Methods in Investment and Finance 431–454.Search in Google Scholar

Mora, N.. 2014. “The Weakened Transmission of Monetary Policy to Consumer Loan Rates.” Federal Reserve Bank of Kansas City, Economic Review 99: 93–117.Search in Google Scholar

Neumark, D., and S. A. Sharpe. 1992. “Market Structure and the Nature of Price Rigidity: Evidence from the Market for Consumer Deposits.” Quarterly Journal of Economics 107: 657–680.10.2307/2118485Search in Google Scholar

Nielsen, M. Ø., and M. K. Popiel. 2014.. “A Matlab Program and User’s Guide for the Fractionally Cointegrated VAR Model.”QED Working Paper 1330Queen’s University.Search in Google Scholar

Ritz, R. A., and A. Walther. 2015. “How do Banks Respond to Increased Funding Uncertainty?” Journal of Financial Intermediation 24: 386–410.10.1016/j.jfi.2014.12.001Search in Google Scholar

Sander, H., and S. Kleimeier. 2004. “Convergence in Euro-Zone Retail Banking? What Interest Rate Pass-Through Tells us About Monetary Policy Transmission, Competition and Integration.” Journal of International Money and Finance 23: 461–492.10.1016/j.jimonfin.2004.02.001Search in Google Scholar

Scholnick, B.. 1999. “Interest Rate Asymmetries in Long-Term Loan and Deposit Markets.” Journal of Financial Services Research 16: 5–26.10.1023/A:1008107030893Search in Google Scholar

Sharpe, S. A.. 1997. “The Effect of Consumer Switching Costs on Prices: A Theory and Its Application to the Bank Deposit Market.” Review of Industrial Organization 12: 79–94.10.1023/A:1007748623012Search in Google Scholar

Stiglitz, J. E., and A. Weiss. 1981. “Credit Rationing in Markets with Imperfect Information.” American Economic Review 71: 393–410.Search in Google Scholar

Traclet, V.. 2005.. “Structure of the Canadian Housing Market and Finance System.”BIS Working Paper.Search in Google Scholar

Traclet, V.. 2010. “An Overview of the Canadian Housing Finance System.” Housing Finance International 25: 6–13.Search in Google Scholar

Urbain, J.-P.. 1992. “On Weak Exogeneity in Error Correction Models.” Oxford Bulletin of Economics and Statistics 54: 187–207.10.1007/978-3-642-95706-2_3Search in Google Scholar

Zorn, L., C. Wilkins, and W. Engert. 2009. “Bank of Canada Liquidity Actions in Response to the Financial Market Turmoil.” Bank of Canada Review 2009: 7–26.Search in Google Scholar


Supplemental Material

The online version of this article offers supplementary material (DOI: https://doi.org/10.1515/snde-2016-0063).


Published Online: 2017-8-8

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