Front Matter
Author:
Marijn A. Bolhuis https://isni.org/isni/0000000404811396 International Monetary Fund

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Sonali Das https://isni.org/isni/0000000404811396 International Monetary Fund

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Bella Yao
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Copyright Page

© 2024 International Monetary Fund

WP/24/224

IMF Working Paper

Strategy, Policy, and Review Department

A New Dataset of High-Frequency Monetary Policy Shocks1

Prepared by Marijn A. Bolhuis, Sonali Das, and Bella Yao

Authorized for distribution by Anna Ilyina

October 2024

IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

ABSTRACT:

This paper presents a new dataset of monetary policy shocks for 21 advanced economies and 8 emerging markets from 2000–2022. We use daily changes in interest rate swap rates around central bank announcements to identify unexpected shocks to the path of monetary policy. The resulting series can be used to examine cross-country heterogeneity in the impact of monetary policy shocks. We establish a new empirical fact on monetary policy spillovers across countries: the monetary policy decisions of small open economy central banks, and not just major central banks, have substantial spillover effects on swap rates and bond yields in other countries.

RECOMMENDED CITATION: Bolhuis A. Marijn, Sonali Das and Bella Yao (2024): A New Dataset of High-Frequency Monetary Policy Shocks. IMF Working Paper, No. WP 24/224.

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Title Page

WORKING PAPERS

A New Dataset of High-Frequency Monetary Policy Shocks

Prepared by Marijn A. Bolhuis, Sonali Das, and Bella Yao1

Contents

  • Introduction

  • II. Data and methodology

    • A. Data

    • B. Identification of shocks

    • C. Implementation

    • D. Summary statistics

  • III. The High-Frequency Impact of Monetary Policy Shocks

    • A. Same-day responses

    • B. Dynamic impact

    • C. High-frequency spillovers

  • V. Conclusions

  • References

  • Annex I. Data

    • A. Sample and variables

    • B. Surprise series

  • Annex II. Framework

  • Annex III. Additional results

*

The authors are grateful to Anna Ilyina for guidance and would like to thank Mehdi Benatiya Andaloussi, Luisa Charry, Ruo Chen, Yigyuan Chen, Ece Özge Emeksiz, Stephan Danninger, Salvatore Dell’Erba, Purva Khera, Estelle Xue Liu, Rui Mano, Papa N’Diaye, Julia Otten, Josef Platzer, Zexi Sun, Cindy Xu, and seminar participants at the International Monetary Fund for helpful comments and suggestions.

1

The authors are grateful to Anna Ilyina for guidance and would like to thank Mehdi Benatiya Andaloussi, Luisa Charry, Ruo Chen, Yigyuan Chen, Ece Özge Emeksiz, Stephan Danninger, Salvatore Dell’Erba, Purva Khera, Estelle Xue Liu, Rui Mano, Papa N’Diaye, Julia Otten, Josef Platzer, Zexi Sun, Cindy Xu, and seminar participants at the International Monetary Fund for helpful comments and suggestions.

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A New Dataset of High-Frequency Monetary Policy Shocks
Author:
Marijn A. Bolhuis
,
Sonali Das
, and
Bella Yao