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Author(s):

Niklas Humann | University of Münster
Dimitrios Kanelis | Deutsche Bundesbank
Lars H. Kranzmann | University of Münster
Pierre L. Siklos | Wilfrid Laurier University

Keywords:

Artificial intelligence , central bank communication , high-frequency event study , FOMC minutes , textual novelty

JEL Codes:

E44 , E52 , E58 , G14

This policy brief is based on Humann, Kanelis, Kranzmann, and Siklos (2026) published in Finance Research Letters. The views expressed here are those of the authors and do not necessarily reflect the opinions of the Deutsche Bundesbank or the Eurosystem.

Abstract

Federal Open Market Committee (FOMC) minutes remain a relevant source of information even though they are released roughly three weeks after the policy decision. We use text embeddings to identify what they add to decision-day communication and whether that content comes from staff analysis or committee deliberation. Greater semantic novelty in the minutes is associated with larger market reactions, while staff versus decision-makers’ views contained in the minutes are informative about the direction of market reactions. Methodologically, we develop an easy-to-implement method to identify the market-moving content in central bank documents.

Introduction

Since 2005, the minutes of Federal Open Market Committee (FOMC) meetings have been published roughly three weeks after each policy decision. They provide a detailed account of the FOMC meeting, summarizing the economic and financial information considered, the participants’ views and policy deliberations, as well as the decisions taken, including their rationale and individual votes. Like the FOMC statement and the Chair’s post-meeting press conference, their release elicits immediate movements in asset prices and trading activity.  This continued market repricing, despite the publication lag, suggests that the minutes convey information not yet reflected in prevailing market expectations.  Unlike decision-day communication, which present the policy decision and its rationale, however, the minutes provide a more structured account of two institutionally distinct sources of information:  the staff section, presenting a detailed assessment of economic and financial conditions, including the staff’s outlook, and the committee section, recording how participants interpret these conditions, assess the outlook and its risks, and deliberate over the appropriate course of monetary policy.

In Humann et al. (2026), we leverage this publication sequence and the separation between staff assessment and committee discussion to examine how novel information – and its placement within the minutes – elicits market reactions. We develop a framework that measures both how much of the minutes’ content is novel relative to decision-day communication and whether that novelty is concentrated in the staff assessment or the committee discussion. Linking these novelty indicators to high-frequency financial market data around the release of the minutes, we find that the overall degree of novelty is positively associated with the magnitude of market reactions, whereas the location of novelty within the minutes is associated with the direction (i.e., sign) of market reactions.

Measuring Semantic Novelty with Text Embeddings

To identify what the minutes add relative to decision-day communication, we compare their content with the information already disclosed for the same meeting. Our benchmark combines the FOMC statement with the Chair’s prepared opening remarks at the post-meeting press conference. We divide these documents, along with the staff and committee sections of the minutes, into individual paragraphs. This paragraph-level segmentation preserves the context necessary to interpret them while still isolating a reasonably coherent subtopic (Kanelis et al., 2025).  We then use Google’s Gemini pretrained embedding model to convert each paragraph into a text embedding. Such an embedding represents each paragraph as a vector (i.e., a point in a high-dimensional semantic space), so that passages conveying similar ideas are located close together even when their wording differs. Such paragraph-level embeddings thus allow us to compare substantive meaning rather than mere word overlap.

Using these embeddings, we compare each paragraph in the minutes with all paragraphs in the corresponding decision-day benchmark to identify its closest semantic counterpart using cosine similarity. The intuition here is that if similar content appeared anywhere in the FOMC statement or the Chair’s prepared remarks, the minutes paragraph receives a low novelty score. Any paragraph in the minutes that is identical to one in the FOMC statement or the Chair’s remarks will receive a score of zero because it contains no novel information. By contrast, the more distant its closest match is, the greater its semantic novelty.  This allows us to compute a novelty score for each paragraph in the minutes. We aggregate these scores separately for the staff and committee sections to construct two measures: overall novelty, capturing how much novel content the minutes contain, and novelty tilt, capturing whether that content is concentrated relatively more in the committee discussion section or the staff assessment section.

Figure 1 reveals a clear asymmetry in the resulting novelty indices. The staff section contains consistently more semantic novelty than the committee discussion section, with the gap widening over time. Negative values of novelty tilt in the lower panel show that the information balance shifts toward staff material during several periods of macro-financial stress and particularly during the increase in inflation since 2021. One interpretation is that decision-day communication during these times focuses on conveying the committee’s narrative, while the minutes remain the main vehicle for the staff’s more detailed assessment.

Figure 1. Dynamics of Novelty in FOMC Minutes

Linking Novelty to High-Frequency Market Reactions

Having measured the semantic novelty of the minutes relative to decision-day communication, we test whether and to what extent novelty explains market reactions. Following the literature, we relate our novelty measures to high-frequency changes in short-term interest rates, Treasury yields, and exchange rates around each release. Such high-frequency event studies are widely used to examine central bank communication, because asset price changes within narrow windows around scheduled announcements allow researchers to measure how investors revise their expectations while minimizing confounding influences from other events (e.g., Kuttner, 2001; Gürkaynak et al., 2005; Nakamura and Steinsson, 2018).

Figure 2 illustrates such market reactions to the minutes using the 17 August 2022 release as an example. Although this release reaffirmed the need for restrictive policy, it provided novel information relative to the statement and press conference, which markets interpreted as less hawkish. In particular, the staff had revised its growth forecast noticeably lower, much of the effect of earlier tightening had yet to reach the economy, and many committee members explicitly recognized the risk of tightening more than necessary. Over the 30-minute event window, the two-year and ten-year Treasury yields fell by approximately 5 and 4 basis points (bp), respectively, while the S&P 500 rose by 40 bp and the euro appreciated by 20 bp against the dollar.

Figure 2. High-Frequency Market Responses to the 17 August 2022 FOMC Minutes Release

We use the U.S. Monetary Policy Event-Study Database by Acosta et al. (2025), which provides changes in median prices and yields of financial assets around the release of the minutes, measured within a 30-minute window around each release.  Figure 3 summarizes our central findings. Greater overall novelty is associated with larger absolute market movements, particularly in short-term interest rates and the two-year Treasury yield (Panel A). However, overall novelty is not associated with whether interest rates rise or fall. This result highlights that our measure of semantic novelty is deliberately agnostic as to whether novel information updates expectations about monetary easing or tightening. Instead, our results show that a greater degree of novelty is associated with larger market reactions.

The composition of novelty in the minutes, by contrast, is informative about the direction of market reactions (Panel B). Holding overall novelty constant, committee-tilted novelty is associated, on average, with lower expected policy rates and Treasury yields, whereas staff-tilted novelty is associated with movements in the opposite direction. These directional relationships are strongest at short and intermediate maturities. Taken together, the results suggest that markets respond not only to how much new information the minutes contain, but also to their institutional source. In particular, novel information originating in the committee discussion is associated with revisions in market expectations toward a less restrictive policy path, whereas novel information originating in the staff assessment is associated with revisions in the opposite direction. In sum, the amount of novelty helps explain how far prices move, while its location helps explain which way they move.

Figure 3. Interest Rate Reactions to Novel Information in FOMC Minutes

Conclusions

The release of the FOMC minutes moves financial markets, but the specific information underlying these reactions has remained less well understood. Our analysis shows that the minutes matter not only because they add information beyond the decision-day communication, but also because markets appear to distinguish information in the staff assessment from information in the committee discussion. The institutional context of novel information therefore provides a relevant dimension for understanding how investors interpret central bank communication.

Our framework offers a content-based perspective on market repricing around the publication of the minutes. Rather than treating these movements as an undifferentiated response to the document as a whole, it helps identify which parts of the document are associated with market reactions and how their institutional source shapes those reactions. For monetary policymakers, this approach provides a practical tool for understanding what moves markets and how the sequencing and placement of information across the communication cycle may affect monetary policy transmission.

References

Acosta, M., Ajello, A., Bauer, M. D., Loria, F., and Miranda-Agrippino, S. (2025), “Financial market effects of FOMC communication: Evidence from a new event-study database,” Federal Reserve Bank of San Francisco Working Paper No. 2025-30. https://doi.org/10.24148/wp2025-30

Gürkaynak, R. S., Sack, B., and Swanson, E. T. (2005), “Do actions speak louder than words? The response of asset prices to monetary policy actions and statements,” International Journal of Central Banking, 1(1), 55–93. https://www.ijcb.org/journal/v1n1/do-actions-speak-louder-words-response-asset-prices-monetary-policy-actions-and

Humann, N., Kanelis, D., Kranzmann, L. H., and Siklos, P. L. (2026), “Financial market reactions to the novelty of information in FOMC minutes,” Finance Research Letters, 108, Article 110475. https://doi.org/10.1016/j.frl.2026.110475

Kanelis, D., Kranzmann, L. H., and Siklos, P. L. (2025), “The financial instability–monetary policy nexus: Evidence from the FOMC minutes,” Deutsche Bundesbank Discussion Paper No. 13/2025. https://www.bundesbank.de/en/publications/research/discussion-papers/the-financial-instability-monetary-policy-nexus-evidence-from-the-fomc-minutes-925466

Kuttner, K. N. (2001), “Monetary policy surprises and interest rates: Evidence from the Fed funds futures market,” Journal of Monetary Economics, 47(3), 523–544. https://doi.org/10.1016/S0304-3932(01)00055-1

Nakamura, E., and Steinsson, J. (2018), “High-frequency identification of monetary non-neutrality: The information effect,” The Quarterly Journal of Economics, 133(3), 1283–1330. https://doi.org/10.1093/qje/qjy004

About the authors

Niklas Humann

Niklas Humann is a PhD student in economics and teaching assistant at the University of Münster. His research focuses on central bank communication, financial market responses to monetary policy, and the interaction between monetary policy and commodity markets. He holds an MSc in Economics from the University of Münster, where he graduated first in his cohort. He was a visiting scholar at the Balsillie School of International Affairs.

Dimitrios Kanelis

Dimitrios Kanelis is an economist and researcher in the Capital Markets Division of the Directorate General Economics (DG Economics) at Deutsche Bundesbank. He also serves as co-lead of the DG Economics Working Group on Artificial Intelligence. His research focuses on monetary policy communication and capital markets, utilizing unstructured and high-frequency data. Dimitrios earned his PhD from the University of Münster and a Master’s degree from the University of Bonn. During his doctoral studies, he was a visiting researcher at the Balsillie School of International Affairs.

Lars H. Kranzmann

Lars Kranzmann is a PhD student in economics at the University of Münster. His research focuses on monetary economics, with particular emphasis on central bank communication and deliberation. During his doctoral studies, he was a visiting researcher at the Balsillie School of International Affairs.

Pierre L. Siklos

Pierre Siklos specializes in macroeconomics, with an emphasis on the study of inflation, central banks, and financial markets. He also conducts research in applied time series analysis. His research has been published in several international journals, and he has been a consultant to a variety of institutions and central banks. His work has been widely cited in several macroeconomics and econometrics textbooks. Pierre has also been a visiting lecturer at several universities in Europe, North America, Asia, Australia, and New Zealand. His research has been funded by domestic and international agencies. In 1999, he was an Erskine Fellow at the University of Canterbury in New Zealand, and in 2009, he was a William Evans Fellow at the University of Otago in New Zealand. Pierre was Wilfrid Laurier University’s (WLU’s) University Research Professor for the academic year 2000–2001, the director of its Viessmann European Research Centre at WLU from 2005 to 2014, and a member of the C.D. Howe Monetary Policy Council from 2008 to 2023, where he is a Research Fellow. He was a member of the Czech National Bank’s Research Advisory Committee between 2012 and 2018. In 2008, he was chair of the Bundesbank Foundation of International Monetary Economics at the Freie Universität Berlin in Germany. He is a guest professor at the University of Münster, Germany, a research fellow of the South African Reserve Bank and Stellenbosch University in South Africa, and was the Fondation France-Japon/ Banque de France Fellow for 2021–2022. He is also a Fellow of the Balsillie School of International Affairs.

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