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Latent semantic analysis of the FOMC statements

Author

Listed:
  • Panagiotis Mazis
  • Andrianos Tsekrekos

Abstract

Purpose - The purpose of this paper is to analyze the content of the statements that are released by the Federal Open Market Committee (FOMC) after its meetings, identify the main textual associative patterns in the statements and examine their impact on the US treasury market. Design/methodology/approach - Latent semantic analysis (LSA), a language processing technique that allows recognition of the textual associative patterns in documents, is applied to all the statements released by the FOMC between 2003 and 2014, so as to identify the main textual “themes” used by the Committee in its communication to the public. The importance of the main identified “themes” is tracked over time, before examining their (collective and individual) effect on treasury market yield volatility via time-series regression analysis. Findings - We find that FOMC statements incorporate multiple, multifaceted and recurring textual themes, with six of them being able to characterize most of the communicated monetary policy in the authors’ sample period. The themes are statistically significant in explaining the variation in three-month, two-year, five-year and ten-year treasury yields, even after controlling for monetary policy uncertainty and the concurrent economic outlook. Research limitations/implications - The main research implication of the authors’ study is that the LSA can successfully identify the most economically significant themes underlying the Fed’s communication, as the latter is expressed in monetary policy statements. The authors feel that the findings of the study would be strengthened if the analysis was repeated using intra-day (tick-by-tick or five-minute) data on treasury yields. Social implications - The authors’ findings are consistent with the notion that the move to “increased transparency” by the Fed is important and meaningful for financial and capital markets, as suggested by the significant effect that the most important identified textual themes have on treasury yield volatility. Originality/value - This paper makes a timely contribution to a fairly recent stream of research that combines specific textual and statistical techniques so as to conduct content analysis. To the best of their knowledge, the authors’ study is the first that applies the LSA to the statements released by the FOMC.

Suggested Citation

  • Panagiotis Mazis & Andrianos Tsekrekos, 2017. "Latent semantic analysis of the FOMC statements," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(2), pages 179-217, May.
  • Handle: RePEc:eme:rafpps:raf-10-2015-0149
    DOI: 10.1108/RAF-10-2015-0149
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    Citations

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    Cited by:

    1. Ioanna Kountouri & Eleftherios Manousakis & Andrianos E. Tsekrekos, 2019. "Latent semantic analysis of corporate social responsibility reports (with an application to Hellenic firms)," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(1), pages 1-19, March.
    2. Ancil Crayton, 2018. "Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization," Papers 1809.08718, arXiv.org.
    3. Ewelina Osowska & Piotr Wójcik, 2020. "The impact of the content of Federal Open Market Committee post-meeting statements on financial markets – text mining approach," Working Papers 2020-33, Faculty of Economic Sciences, University of Warsaw.
    4. Amrendra Pandey & Jagadish Shettigar & Amarnath Bose, 2021. "Evaluation of the Inflation Forecasting Process of the Reserve Bank of India: A Text Analysis Approach," SAGE Open, , vol. 11(3), pages 21582440211, July.

    More about this item

    Keywords

    Content analysis; Monetary policy; Latent semantic analysis; Fed wording; FOMC statements; Treasury market; E5; F3; G1;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General Financial Markets

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