IDEAS home Printed from https://ideas.repec.org/a/eee/intfin/v87y2023ics1042443123000902.html
   My bibliography  Save this article

A Comparative Textual Study of FOMC Transcripts Through Inflation Peaks

Author

Listed:
  • Ruman, Asif M.

Abstract

This paper examines how natural language processing algorithms, utilizing textual analysis, can aid in comprehending the decision-making process of the Federal Open Market Committee (FOMC) and the factors influencing its monetary policy decisions in periods of high inflation, specifically, Feb 1979–Dec 1986 and Feb 2018–Feb 2023. The analysis uncovers common themes such as the economy and growth, along with remarkable differences in the language used. Volcker's focus was on combating high inflation through interest rates, economic growth, and money supply, whereas Powell's focus centered on discussing inflation more than relevant policy responses such as interest rates or asset purchases. These findings suggest that unlike Powell, Volcker took high inflation as a given and concentrated on policy actions to fight inflation, which he successfully managed.

Suggested Citation

  • Ruman, Asif M., 2023. "A Comparative Textual Study of FOMC Transcripts Through Inflation Peaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:intfin:v:87:y:2023:i:c:s1042443123000902
    DOI: 10.1016/j.intfin.2023.101822
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042443123000902
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intfin.2023.101822?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2023. "The Voice of Monetary Policy," American Economic Review, American Economic Association, vol. 113(2), pages 548-584, February.
    2. John Y. Campbell, 1995. "Some Lessons from the Yield Curve," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 129-152, Summer.
    3. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    4. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    5. Allan H. Meltzer, 2006. "From Inflation to More Inflation, Disinflation, and Low Inflation," American Economic Review, American Economic Association, vol. 96(2), pages 185-188, May.
    6. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    7. Arina Wischnewsky & David‐Jan Jansen & Matthias Neuenkirch, 2021. "Financial stability and the Fed: Evidence from congressional hearings," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1192-1214, July.
    8. Gjerde, Oystein & Saettem, Frode, 1999. "Causal relations among stock returns and macroeconomic variables in a small, open economy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(1), pages 61-74, January.
    9. Daniel L. Thornton, 2011. "What does the change in the FOMC's statement of objectives mean?," Economic Synopses, Federal Reserve Bank of St. Louis.
    10. Jegadeesh, Narasimhan & Wu, Di, 2013. "Word power: A new approach for content analysis," Journal of Financial Economics, Elsevier, vol. 110(3), pages 712-729.
    11. Michiel De Pooter, 2021. "Questions and Answers: The Information Content of the Post-FOMC Meeting Press Conference," FEDS Notes 2021-10-12, Board of Governors of the Federal Reserve System (U.S.).
    12. Joe Peek & Eric Rosengren & Geoffrey M. B. Tootell, 2016. "Does Fed policy reveal a ternary mandate?," Working Papers 16-11, Federal Reserve Bank of Boston.
    13. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    14. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    15. repec:pri:cepsud:161blinder is not listed on IDEAS
    16. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    17. Ericsson, Neil R., 2016. "Eliciting GDP forecasts from the FOMC’s minutes around the financial crisis," International Journal of Forecasting, Elsevier, vol. 32(2), pages 571-583.
    18. Łyziak, Tomasz & Paloviita, Maritta, 2017. "Anchoring of inflation expectations in the euro area: Recent evidence based on survey data," European Journal of Political Economy, Elsevier, vol. 46(C), pages 52-73.
    19. Bailey, Andrew & Schonhardt-Bailey, Cheryl, 2008. "Does Deliberation Matter in FOMC Monetary Policymaking? The Volcker Revolution of 1979," Political Analysis, Cambridge University Press, vol. 16(4), pages 404-427.
    20. Tim Loughran & Bill McDonald, 2015. "The Use of Word Lists in Textual Analysis," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 1-11, January.
    21. Kearney, Colm & Liu, Sha, 2014. "Textual sentiment in finance: A survey of methods and models," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 171-185.
    22. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    23. Hali Edison & Hector Carcel, 2021. "Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts," Applied Economics Letters, Taylor & Francis Journals, vol. 28(1), pages 38-42, January.
    24. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    25. Adam Hale Shapiro & Daniel J Wilson, 2022. "Taking the Fed at its Word: A New Approach to Estimating Central Bank Objectives using Text Analysis [Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2768-2805.
    26. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    27. Alan S. Blinder, 2023. "Landings, Soft and Hard: The Federal Reserve, 1965–2022," Journal of Economic Perspectives, American Economic Association, vol. 37(1), pages 101-120, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Istrefi, Klodiana & Odendahl, Florens & Sestieri, Giulia, 2023. "Fed communication on financial stability concerns and monetary policy decisions: Revelations from speeches," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy and financial markets: evidence from Twitter traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Ricardo Correa & Keshav Garud & Juan M Londono & Nathan Mislang, 2021. "Sentiment in Central Banks’ Financial Stability Reports," Review of Finance, European Finance Association, vol. 25(1), pages 85-120.
    4. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy, Twitter and financial markets: evidence from social media traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Ahmed, Yousry & Elshandidy, Tamer, 2016. "The effect of bidder conservatism on M&A decisions: Text-based evidence from US 10-K filings," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 176-190.
    6. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    8. Huang, Yu-Lieh & Kuan, Chung-Ming, 2021. "Economic prediction with the FOMC minutes: An application of text mining," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 751-761.
    9. Anand, Abhinav & Basu, Sankarshan & Pathak, Jalaj & Thampy, Ashok, 2021. "The impact of sentiment on emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 161-177.
    10. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2020. "Tweeting on Monetary Policy and Market Sentiments: The Central Bank Surprise Index," BAFFI CAREFIN Working Papers 20134, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    11. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
    12. Stijn Claessens & Ricardo Correa & Juan M. Londono, 2021. "Financial Stability Governance and Central Bank Communications," International Finance Discussion Papers 1328, Board of Governors of the Federal Reserve System (U.S.).
    13. Hüpper, Florian & Kempa, Bernd, 2023. "Inflation targeting and inflation communication of the Federal Reserve: Words and deeds," Journal of Macroeconomics, Elsevier, vol. 75(C).
    14. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    15. Dimitris Anastasiou & Apostolos Katsafados, 2023. "Bank deposits and textual sentiment: When an European Central Bank president's speech is not just a speech," Manchester School, University of Manchester, vol. 91(1), pages 55-87, January.
    16. Tadle, Raul Cruz, 2022. "FOMC minutes sentiments and their impact on financial markets," Journal of Economics and Business, Elsevier, vol. 118(C).
    17. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
    18. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    19. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," SciencePo Working papers Main hal-03459227, HAL.
    20. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfin:v:87:y:2023:i:c:s1042443123000902. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/intfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.