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Quantifying Forward Guidance and Yield Curve Control

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Abstract

This study evaluates the effectiveness of Japan's unconventional monetary policies over the past quarter century within a unified term structure framework. It specifically examines the impact of the Bank of Japan's (BOJ) outcome-based forward guidance and yield curve control (YCC) and incorporates other policy types into the framework. The findings show that the BOJ’s forward guidance and YCC have both had a significant impact on the shadow rate. Forward guidance accounted for most of the policy impact in the early stages of unconventional monetary policies and remained influential throughout. YCC, since its introduction in 2016 until March 2022, contributed to more than a third of the policy impact. Furthermore, these policies have been effective in raising output and inflation.

Suggested Citation

  • Junko Koeda & Bin Wei, 2024. "Quantifying Forward Guidance and Yield Curve Control," FRB Atlanta Working Paper 2024-8, Federal Reserve Bank of Atlanta.
    • Handle: RePEc:fip:fedawp:99037
    DOI: 10.29338/wp2024-08
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    References listed on IDEAS

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    1. Shintani, Mototsugu, 2005. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 517-538, June.
    2. Koeda, Junko, 2013. "Endogenous monetary policy shifts and the term structure: Evidence from Japanese government bond yields," Journal of the Japanese and International Economies, Elsevier, vol. 29(C), pages 170-188.
    3. Fujiki, Hiroshi & Okina, Kunio & Shiratsuka, Shigenori, 2001. "Monetary Policy under Zero Interest Rate: Viewpoints of Central Bank Economists," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(1), pages 89-130, February.
    4. Scott Joslin & Kenneth J. Singleton & Haoxiang Zhu, 2011. "A New Perspective on Gaussian Dynamic Term Structure Models," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 926-970.
    5. Hiroyuki Kubota & Mototsugu Shintani, 2023. "Macroeconomic Effects of Monetary Policy in Japan: An Analysis Using Interest Rate Futures Surprises," CARF F-Series CARF-F-555, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    6. Jonathan H. Wright, 2011. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset," American Economic Review, American Economic Association, vol. 101(4), pages 1514-1534, June.
    7. Ko Adachi & Kazuhiro Hiraki, 2021. "Recent Developments in Measuring Inflation Expectations: With a Focus on Market-based Inflation Expectations and the Term Structure of Inflation Expectations," Bank of Japan Research Laboratory Series 21-E-1, Bank of Japan.
    8. Kei Imakubo & Jouchi Nakajima, 2015. "Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model," Bank of Japan Working Paper Series 15-E-1, Bank of Japan.
    9. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    10. Leo Krippner, 2013. "A tractable framework for zero lower bound Gaussian term structure models," Reserve Bank of New Zealand Discussion Paper Series DP2013/02, Reserve Bank of New Zealand.
    11. Hiroshi Ugai, 2006. "Effects of the Quantitative Easing Policy: A Survey of Empirical Analyses," Bank of Japan Working Paper Series 06-E-10, Bank of Japan.
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    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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