Dragos Gorduza, Livia Silva Paranhos and Ivan Yotzov
Financial coverage choices replicate incoming knowledge, forecasts, and policymaker preferences. On this submit, we use giant language fashions (LLMs) to analyse Financial institution of England Financial Coverage Committee (MPC) transcripts from 2015 to 2017. We extract structured measures of particular person views on inflation and development, and the narratives justifying coverage choices. This provides a brand new perspective on UK financial coverage makers’ reasoning, utilizing not too long ago printed transcripts. We present that issues about financial development relative to its potential weakened and later strengthened over the pattern, whereas issues about above-target inflation elevated. We hyperlink these measures to voting behaviour and present that, over the pattern interval, each development and inflation measures predict votes for greater charges, however solely development measures clarify votes to chop Financial institution Price.
Central financial institution deliberations are nuanced and canopy a variety of matters. Policymakers communicate amid appreciable uncertainty, and proof from Federal Open Market Committee (FOMC) transcripts (Bennani and Romelli (2024); Aruoba and Drechsel (2026)) highlights that their reasoning shouldn’t be at all times absolutely captured by voting data alone. The identical vote can replicate very totally different issues about inflation, development, dangers, and their stability. Our strategy recovers a part of that construction from MPC dialogue transcripts utilizing LLMs. As well as, the transcripts present a chance to check how policymakers’ narratives and issues developed across the EU referendum in June 2016. This era was characterised by a comparatively steady pre-referendum atmosphere in 2015, elevated financial uncertainty following the Brexit vote, and the beginning of a shift in the direction of coverage normalisation throughout 2017 as inflation rose and the financial system proved extra resilient than initially predicted.
Newly launched Financial institution of England inside coverage transcripts and extracted views from MPC members
Our major knowledge set includes 258 publicly out there statements from particular person MPC members masking 29 assembly transcripts between 2015 and 2017. These statements cowl the conferences when members present their indicative coverage choices. They’re launched with an eight-year lag, and 2017 is the final out there 12 months at the moment. We use generative AI instruments to extract a number of dimensions of policymakers’ views from the textual content. To the most effective of our information, we’re the primary to use frontier pure language processing to those not too long ago printed transcripts.
First, we extract statement-level data for all audio system within the transcripts. The MPC consists of 9 members and on account of a number of tenures expiring throughout our pattern, we now have a complete pattern of 14 audio system (seven inside and 7 exterior MPC members). Three conferences in 2017 solely consisted of eight MPC members. We deal with every speaker’s view of UK inflation relative to focus on and output development relative to potential over a one-year horizon. These measures relate intently to the weights policymakers implicitly place on inflation and output stabilisation of their choices (eg Carney (2017)). We check how these text-based measures relate to voting choices, together with variations throughout audio system and over time.
Within the LLM immediate, ‘inflation versus goal’ scores how the textual content portrays the extent of UK inflation relative to the Financial institution of England’s 2% CPI inflation goal over the 12 months forward: -5 means inflation is judged very far beneath goal, 0 shut to focus on, and +5 very far above goal. ‘Progress versus potential’ is the analogous measure for UK output development relative to potential output over the identical one-year forward horizon. Every quantitative measure is produced by a separate name to a LLM (OpenAI gpt-5-mini), so that each variable maps to at least one express instruction. The output is constrained to a single integer on -5 to +5 scale through a structured response format.
Second, we determine the primary arguments underpinning coverage deliberation in every assertion. Utilizing LLMs, we rewrite these arguments as concise causal statements, labeled by subject, sort, and tense. We classify arguments into 14 matters (an argument can cowl a number of matters), reminiscent of inflation, labour market, output, change charges, and political occasions. The matters are drawn from present analyses of financial policymaking transcripts (eg Prat et al (2018)) wanting on the FOMC transcripts) and central banker speeches. These matters are chosen to exhaustively cowl the assorted points policymakers could increase throughout their discussions; we focus the dialogue on six out of the entire 14 matters on this submit for conciseness. Determine 1 beneath reveals an instance passage from Andy Haldane in February 2016, from which we extract the underlying causal argument and matters.
Determine 1: Extracting causal arguments and matters from MPC transcripts
Progress sentiment weakened and later recovered over the pattern, whereas issues about above-target inflation elevated
We first present that these narrative-based indicators seize economically significant variation. In Chart 1, we plot our two text-based metrics of ‘inflation versus goal’ and ‘development versus potential’, alongside annual CPI inflation and GDP development over the interval. Progress sentiment deteriorated within the months previous to the referendum, and sharply following the referendum, earlier than enhancing in 2017. This partly displays lagged actions in GDP development and the distinctive uncertainty concerning the near-term outlook for the UK financial system. Monetary markets reacted sharply following the referendum vote (as highlighted by MPC members themselves within the June and July 2016 conferences), enterprise surveys deteriorated markedly, and a spread of contemporaneous forecasts, together with official assessments, warned of a considerable slowdown and doubtlessly extreme recessionary dangers. Because the financial system proved extra resilient than initially anticipated, development sentiment recovered by way of 2017. This sample partly displays lagged actions in realised GDP development. In the meantime, perceived inflation relative to focus on intently tracks CPI inflation developments over this era (correlation of 0.75). Additional evaluation reveals that the connection between perceived development and inflation turns into extra constructive and extra statistically vital within the interval after the referendum. That is according to a stronger ‘demand-side’ interpretation of the financial developments throughout this a part of the pattern.
Chart 1: Traits in text-based inflation and development metrics over 2015–17
Narrative matters and variations throughout members
We subsequent examine how the content material of the transcripts adjustments over time and throughout MPC members. This evaluation is carried out on the assertion stage, with the language mannequin figuring out express causal statements and assigning them to a number of matters. Throughout 2015–17, probably the most mentioned matters are output, inflation, and financial coverage price setting, accounting for 19%, 15%, and 14% of statements, respectively. The speed-setting class is intentionally slim: it captures solely phrases referring on to the policy-rate resolution, whereas statements about issues that will bear not directly on that call are labeled by their speedy topic. Following the referendum, discussions turned extra targeted on financial coverage price setting, inflation–output trade-offs, and political occasions, whereas references to inflation and monetary markets declined. Chart 2 reveals these shifts.
Chart 2: Distribution of subject shares in MPC transcripts earlier than and after the Brexit referendum
Views on inflation and development assist predict voting behaviour
Lastly, we analyse whether or not these new text-based metrics clarify Financial institution Price voting behaviour. We deal with Financial institution Price voting particularly, and never on the asset buy choices taken over this era. We regress binary outcomes for the choice to vote for a price improve, price maintain, and price lower on the member-specific views relating to inflation relative to focus on and development relative to potential. The regressions moreover management for speaker fastened results, annual CPI inflation, annual GDP development, and year-ahead Financial institution of England forecasts for inflation and development. Due to this fact, we check whether or not these new metrics seize any variation in voting behaviour over and above the mixture knowledge and official forecasts.
Chart 3: Voting behaviour and views on inflation and development
Chart 3 summarises the outcomes over the complete pattern and all MPC members. The left panel reveals that perceptions of above-target inflation and above-potential development each push members in the direction of voting for a hike. These estimates are statistically vital on the 5% stage. The center panel reveals that stronger views about above-target inflation are related to a decrease chance of voting for a maintain, whereas the connection with ‘development versus potential‘ is insignificant. In the appropriate panel, the sample reverses: views about above-potential development considerably cut back the chance of voting for a price lower, whereas the inflation coefficient is small and insignificant. Total, the qualitative assessments members specific translate systematically into their coverage selections.
Whereas Chart 3 swimming pools throughout the entire committee, the identical relationships additionally maintain after we estimate member-specific response capabilities, operating a separate regression for every MPC member (excluding those that voted in fewer than 10 conferences and those that by no means voted for a hike or lower). For the chance of voting to extend Financial institution Price, the coefficients on inflation versus goal and development versus potential are constructive for primarily each member, and for plenty of them the connection is powerful and statistically vital. For the chance of voting to chop, the coefficients on development versus potential are destructive throughout the board, according to the pooled discovering that weaker development perceptions improve the chance of a lower, whereas the inflation coefficients are smaller and extra dispersed round zero. Reassuringly, then, the mixture outcome shouldn’t be pushed by a handful of members: the hyperlink between expressed views and votes is a standard function throughout the committee, at the same time as its energy varies from member to member.
Conclusions
Historic MPC transcripts comprise wealthy data past easy vote tallies. Utilizing frontier LLMs and pure language processing, we convert coverage discussions into structured sentiment and narrative measures. We spotlight how these measures change over time, throughout MPC members, and the way they relate to voting behaviour. We deal with Financial institution Price votes as a result of policymakers explicitly describe the coverage price as the primary coverage instrument over this era. Future work might evaluate narratives in publicly launched historic transcripts with contemporaneous public communications, reminiscent of MPC speeches, to look at how coverage reasoning is expressed throughout totally different types of printed communication.
Dragos Gorduza and Livia Silva Paranhos work within the Financial institution’s Superior Analytics Division and Ivan Yotzov works within the Financial institution’s Structural Economics Division.
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