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Measuring transitory inflation: Implications for monetary policy and stock market volatility

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  • Bonaparte, Yosef
  • Fabozzi, Frank J.
  • Peron, Matt

Abstract

We present a methodology for developing a transitory inflation (TI) measure that captures persistent deviations from mean inflation, distinguishing it from underlying inflation. First, we analyze the decay rate of TI as it reverts to stationary inflation, finding that convergence typically ranges between two to four years. We then examine the impact of TI on monetary policy, demonstrating that a surge in TI increases monetary policy uncertainty and is followed by interest rate hikes by the Federal Reserve. Furthermore, we investigate how TI influences key stock market outcomes and find its impact varies across sectors and by market capitalization; overall, higher TI is associated with lower asset prices, especially for small-cap stocks, and higher stock market volatility. We also identify rising oil prices as a significant driver of TI.

Suggested Citation

  • Bonaparte, Yosef & Fabozzi, Frank J. & Peron, Matt, 2025. "Measuring transitory inflation: Implications for monetary policy and stock market volatility," Journal of International Money and Finance, Elsevier, vol. 153(C).
    • Handle: RePEc:eee:jimfin:v:153:y:2025:i:c:s0261560625000191
    DOI: 10.1016/j.jimonfin.2025.103284
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    1. Marijn A Bolhuis & Judd N L Cramer & Lawrence H Summers, 2022. "Comparing Past and Present Inflation [Supply and demand in disaggregated Keynesian economies with an application to the covid-19 crisis]," Review of Finance, European Finance Association, vol. 26(5), pages 1073-1100.
    2. Jens H. E. Christensen, 2022. "The Increase in Inflation Compensation: What’s Up?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(18), pages 1-06, July.
    3. repec:bla:jfinan:v:43:y:1988:i:3:p:661-76 is not listed on IDEAS
    4. Campbell, John & Shiller, Robert, 1988. "Stock Prices, Earnings, and Expected Dividends," Scholarly Articles 3224293, Harvard University Department of Economics.
    5. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2023. "One-stop source: A global database of inflation," Journal of International Money and Finance, Elsevier, vol. 137(C).
    6. Ball, Laurence & Carvalho, Carlos & Evans, Christopher & Antonio Ricci, Luca, 2024. "Weighted Median Inflation Around the World: A Measure of Core Inflation," Journal of International Money and Finance, Elsevier, vol. 142(C).
    7. Kevin J. Lansing, 2022. "Untangling Persistent versus Transitory Shocks to Inflation," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(13), pages 1-05, May.
    8. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
    9. Lucas, Robert E, Jr, 1996. "Nobel Lecture: Monetary Neutrality," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 661-682, August.
    10. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    11. Fama, Eugene F. & French, Kenneth R., 1989. "Business conditions and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 25(1), pages 23-49, November.
    12. Kamber, Güneş & Wong, Benjamin, 2020. "Global factors and trend inflation," Journal of International Economics, Elsevier, vol. 122(C).
    13. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. Witness Nyasha Bandura & Temitope L. A. Leshoro, 2022. "Inflation And Financial Development In Sub-Saharan Africa," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 67(233), pages 85-112, April – J.
    16. Xinyu Li & Zihan Tang, 2022. "Sentiment Analysis on Inflation after Covid-19," Papers 2209.14737, arXiv.org, revised Dec 2022.
    17. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    18. Pedro Santa‐Clara & Rossen Valkanov, 2003. "The Presidential Puzzle: Political Cycles and the Stock Market," Journal of Finance, American Finance Association, vol. 58(5), pages 1841-1872, October.
    19. Oecd, 2022. "Competition and Inflation," OECD Roundtables on Competition Policy Papers 286, OECD Publishing.
    20. Marijn A Bolhuis & Judd N L Cramer & Lawrence H Summers, 2022. "The Coming Rise in Residential Inflation [The repeat rent index]," Review of Finance, European Finance Association, vol. 26(5), pages 1051-1072.
    21. James H. Stock & Mark W. Watson, 2007. "Erratum to “Why Has U.S. Inflation Become Harder to Forecast?”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    22. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    23. Yunqing Wang & Linsen Yin & Xinyu Sui & Wenjie Pan, 2022. "Oil Price Shocks and Inflation Targeting in China," Global Economic Review, Taylor & Francis Journals, vol. 51(2), pages 114-141, April.
    24. Laurence M. Ball & Daniel Leigh & Prachi Mishra & Antonio Spilimbergo, 2021. "Measuring U.S. Core Inflation: The Stress Test of COVID-19," NBER Working Papers 29609, National Bureau of Economic Research, Inc.
    25. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    26. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
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    More about this item

    Keywords

    Transitory Inflation; Stock Market Performance; Monetary Policy Uncertainty; Economic policy uncertainty; Oil prices;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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