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Asymmetric Monetary Effects on Interest Rates across Monetary Policy Stances

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  • Choi, Woon Gyu

Abstract

This paper provides new evidence that the interest rates response to a money supply shock varies across the state of the monetary policy stance. The state is assigned to one of the tight, neutral, and loose regimes based on an estimated policy stance index. The results of threshold vector autoregression analysis imply that pure liquidity and expected inflation effects vary across regimes with agents' reactions to policy. The results exhibit a persistent, dominating liquidity effect under the neutral and loose regimes but a reversed liquidity effect after a short lag under the tight regime.

Suggested Citation

  • Choi, Woon Gyu, 1999. "Asymmetric Monetary Effects on Interest Rates across Monetary Policy Stances," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 386-416, August.
    • Handle: RePEc:mcb:jmoncb:v:31:y:1999:i:3:p:386-416
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    Cited by:

    1. Ahn, Eun S. & Lee, Jin Man, 2012. "The Performance Of Nonlinearity Tests On Asymmetric Nonlinear Time Series," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 11-44.
    2. Davide Furceri, 2004. "Does the EMU Need a Fiscal Transfer Mechanism?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 73(3), pages 418-428.
    3. Hannah L. Paul & Andrew Q. Philips, 2022. "What goes up must come down: Theory and model specification of threshold dynamics," Social Science Quarterly, Southwestern Social Science Association, vol. 103(5), pages 1273-1289, September.
    4. Michael S. Hanson & Erik Hurst & Ki Young Park, 2006. "Does Monetary Policy Help Least Those Who Need It Most?," Wesleyan Economics Working Papers 2006-006, Wesleyan University, Department of Economics.
    5. Fabio ALESSANDRINI, 2003. "Some Additional Evidence from the Credit Channel on the Response to Monetary Shocks: Looking for Asymmetries," Cahiers de Recherches Economiques du Département d'économie 03.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    6. George Athanasopoulos & Heather M. Anderson & Farshid Vahid, 2007. "Nonlinear autoregressive leading indicator models of output in G-7 countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 63-87.
    7. Marianne Sensier & Denise R. Osborn & Nadir Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 315-339, September.
    8. Tkacz, Greg, 2001. "Endogenous thresholds and tests for asymmetry in US prime rate movements," Economics Letters, Elsevier, vol. 73(2), pages 207-211, November.
    9. Nesmith Travis D & Jones Barry E, 2008. "Linear Cointegration of Nonlinear Time Series with an Application to Interest Rate Dynamics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(1), pages 1-18, March.
    10. Nikolaus A. Siegfried, 2002. "An information-theoretic extension to structural VAR modelling," Quantitative Macroeconomics Working Papers 20203, Hamburg University, Department of Economics.
    11. Davide Furceri, 2002. "Risk-sharing e architettura istituzionale delle politiche di stabilizzazione nell'UME: aspetti metodologici e verifica empirica," Rivista di Politica Economica, SIPI Spa, vol. 92(6), pages 175-210, November-.
    12. Brian Du, 2020. "Securitized banking and interest rate sensitivity," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 851-876, April.
    13. Shin-Ichi Nishiyama, 2011. "The Cross-Euler Equation Approach to testing for the Liquidity Constraint: Evidence from Macro and Micro Data," TERG Discussion Papers 273, Graduate School of Economics and Management, Tohoku University.
    14. Atems, Bebonchu & Yimga, Jules, 2021. "Quantifying the impact of the COVID-19 pandemic on US airline stock prices," Journal of Air Transport Management, Elsevier, vol. 97(C).

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