Dragos Gorduza, Livia Silva Paranhos and Ivan Yotzov
Financial coverage choices replicate incoming knowledge, forecasts, and policymaker preferences. On this publish, we use massive 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 offers a brand new perspective on UK financial coverage makers’ reasoning, utilizing lately 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 larger charges, however solely development measures clarify votes to chop Financial institution Fee.
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 just isn’t all the time totally captured by voting data alone. The identical vote can replicate very completely different issues about inflation, development, dangers, and their stability. Our method 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 surroundings in 2015, elevated financial uncertainty following the Brexit vote, and the beginning of a shift in direction of coverage normalisation throughout 2017 as inflation rose and the economic system proved extra resilient than initially predicted.
Newly launched Financial institution of England inside coverage transcripts and extracted views from MPC members
Our foremost knowledge set contains 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 yr at present. We use generative AI instruments to extract a number of dimensions of policymakers’ views from the textual content. To the perfect of our data, we’re the primary to use frontier pure language processing to those lately printed transcripts.
First, we extract statement-level data for all audio system within the transcripts. The MPC consists of 9 members and as a result of a number of tenures expiring throughout our pattern, we’ve got 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 take a look at 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 yr forward: -5 means inflation is judged very far under goal, 0 shut to focus on, and +5 very far above goal. ‘Development 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 1 specific 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, categorised 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, trade charges, and political occasions. The matters are drawn from current 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 varied points policymakers could elevate throughout their discussions; we focus the dialogue on six out of the overall 14 matters on this publish for conciseness. Determine 1 under 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
Development 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. Development 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 in regards to the near-term outlook for the UK economic 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 probably extreme recessionary dangers. Because the economic system proved extra resilient than initially anticipated, development sentiment recovered by 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 optimistic 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: Tendencies in text-based inflation and development metrics over 2015–17
Narrative matters and variations throughout members
We subsequent research how the content material of the transcripts modifications over time and throughout MPC members. This evaluation is performed on the assertion stage, with the language mannequin figuring out specific causal statements and assigning them to a number of matters. Throughout 2015–17, probably the most mentioned matters are output, inflation, and financial coverage charge setting, accounting for 19%, 15%, and 14% of statements, respectively. The speed-setting class is intentionally slender: it captures solely phrases referring on to the policy-rate determination, whereas statements about concerns that will bear not directly on that call are categorised by their fast topic. Following the referendum, discussions turned extra targeted on financial coverage charge 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 Fee voting behaviour. We deal with Financial institution Fee voting particularly, and never on the asset buy choices taken over this era. We regress binary outcomes for the choice to vote for a charge enhance, charge maintain, and charge minimize on the member-specific views concerning 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. Subsequently, we take a look at whether or not these new metrics seize any variation in voting behaviour over and above the combination knowledge and official forecasts.
Chart 3: Voting behaviour and views on inflation and development
Chart 3 summarises the outcomes over the total pattern and all MPC members. The left panel reveals that perceptions of above-target inflation and above-potential development each push members in 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 precise panel, the sample reverses: views about above-potential development considerably scale back the chance of voting for a charge minimize, whereas the inflation coefficient is small and insignificant. General, the qualitative assessments members specific translate systematically into their coverage decisions.
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 minimize). For the chance of voting to extend Financial institution Fee, the coefficients on inflation versus goal and development versus potential are optimistic for basically each member, and for quite a lot of them the connection is robust 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 enhance the chance of a minimize, whereas the inflation coefficients are smaller and extra dispersed round zero. Reassuringly, then, the combination outcome just isn’t pushed by a handful of members: the hyperlink between expressed views and votes is a standard characteristic throughout the committee, whilst its energy varies from member to member.
Conclusions
Historic MPC transcripts include 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 Fee votes as a result of policymakers explicitly describe the coverage charge 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 completely 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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