Information as Policy: A Bayesian Game-Theoretic Analysis of Central Bank Communication and Market Signal Formation
Abstract
This paper advances a Bayesian game-theoretic framework to examine whether increased informational signalling by the central bank improves or degrades the informational efficiency of markets — and whether improved market efficiency feeds back into superior policymaking. We argue, with high theoretical confidence and strong empirical support, that credible and informative central bank communication generates a virtuous informational cycle: enhanced policy signals improve market inference; higher-quality market prices in turn enrich the informational environment available to policymakers themselves. The impending conclusion of Jerome Powell's chairmanship — his sixty-third and final post-FOMC press conference scheduled for 30 April 2026 — and the imminent confirmation of Kevin Warsh, who advocates a deliberate retreat from forward guidance, provides an exceptionally well-timed natural experiment through which to evaluate these competing visions of central bank communication. We draw on recent literature in information economics, signalling theory, and empirical monetary economics to argue that the institutional architecture of transparency constructed over four decades is not merely a convenience — it is a structural precondition for efficient monetary transmission.
I. Introduction: A Natural Experiment in Central Bank Communication
On 30 April 2026, Jerome Powell will conclude his sixty-seventh FOMC meeting as Chair of the Board of Governors of the Federal Reserve System and, in all likelihood, deliver his sixty-third and final post-meeting press conference — the last in an unbroken sequence he extended from four annual appearances under Janet Yellen to one after each of the eight scheduled meetings per year.1 What unfolds later that same afternoon amplifies the historical resonance considerably: the Senate Banking Committee is scheduled to vote on the nomination of Kevin Warsh, whose confirmation hearings before the committee on 21 April 2026 staked out a programmatic critique of the very institutional architecture Powell leaves behind.
The juxtaposition is arresting. Powell presides over the unwinding of his chairmanship while the mechanism of his replacement advances in parallel — a confluence that FXStreet aptly characterised as a policy decision landing at the intersection of oil-driven inflation, slowing growth, a possible Fed leadership handover, and a heavy earnings calendar.2 April is not a Summary of Economic Projections meeting; there is no updated dot plot. That absence itself becomes communicative: when the Fed cannot signal through numbers, it signals through word choice. Every modification to the statement's description of inflation, growth, and the balance of risks will be parsed with uncommon intensity precisely because the departure of the most prolific communicator in the institution's history is imminent.
This moment therefore provides a rare and richly contextualised natural experiment in the economics of institutional information transmission. The contemporary debate — between advocates of transparency and critics such as Warsh who argued before the Senate Banking Committee that central bankers "speak quite frequently" and that "truth-seeking is more important than repetition" — raises a question of the first analytical order: does increased informational signalling by the central bank improve or degrade the informational efficiency of markets, and does that efficiency feed back into better policymaking?3
This paper argues, with high theoretical confidence supported by a growing body of empirical evidence, that credible and informative central bank communication generates a self-reinforcing informational equilibrium. In that equilibrium, enhanced policy signals reduce market uncertainty, which in turn produces higher-quality price signals that enrich the informational environment available to policymakers themselves. The abandonment of this architecture, which the Warsh doctrine implies, risks degrading both market and policy information simultaneously.
II. Theoretical Framework: A Bayesian Signalling Game
II.i. Players, States, and Signals
The analytical framework presented here draws on the theory of strategic information transmission pioneered by Crawford and Sobel (1982) and extended by subsequent literature in the economics of communication under asymmetric information. The game is populated by two principal classes of players: the central bank — operationally, the Federal Open Market Committee — and a continuum of heterogeneous, rational Bayesian market participants. Each participant possesses private information about the state of the economy but observes both the central bank's public signal and the aggregated price information generated by market interaction.
Let θ ∈ ℝ denote the true but unobserved macroeconomic state, encompassing inflation persistence, the output gap, and financial stability conditions. The central bank observes a noisy private signal of θ and transmits a public signal s — instantiated empirically in the form of forward guidance language, post-meeting press conference communications, the Summary of Economic Projections, and the dot plot. Market participants simultaneously observe s and form posterior beliefs by integrating this public signal with their own dispersed private signals, producing an aggregated market price y.
II.ii. Bayesian Updating and Variance Reduction
The posterior distribution over the state of the world, conditional on both signals, takes the form:
where f(s | θ) captures the precision and credibility of central bank communication, and f(y | θ) reflects the dispersed private information aggregated through market prices. The posterior variance satisfies:
where λ_s and λ_y are precision weights and ε_s, ε_y denote noise terms in the central bank's public signal and the market price respectively. The key structural implication is immediate: Var(θ | s, y) is monotonically decreasing in signal precision. As central bank communication becomes more precise and credible, aggregate uncertainty about the macroeconomic state declines, even holding constant the information embedded in market prices.
This formalisation has direct empirical traction. A landmark 2025 IMF Working Paper by Silva, Moriya, and Veyrune — drawing on a multilingual dataset of 74,882 documents from 169 central banks spanning 1884 to 2025 — constructs a directional communication index showing that central bank communication signals explain a statistically significant share of future movements in market rates across monetary regimes and jurisdictions.4 The finding is not confined to advanced economies with deep financial markets; it is a structural feature of credible monetary institutions.
III. Endogenous Signal Quality: The Feedback Architecture
The core analytical contribution of this paper extends the standard one-shot signalling model by treating the quality of market price signals as endogenous to central bank communication. This generates a recursive informational structure — a feedback loop — that is absent from static treatments of monetary transparency.
III.i. The Mechanism in Four Steps
Step 1 — Policy Signal Precision Improves. Under Powell's chairmanship, the Federal Reserve expanded its communicative repertoire substantially: post-meeting press conferences increased from four to eight annually; the Summary of Economic Projections was institutionalised as a quarterly forward guidance tool; explicit and conditional forward guidance — most dramatically during the pandemic — anchored the rate path at the zero lower bound. This expansion in signalling activity raised the effective precision of f(s | θ).
Step 2 — Market Beliefs Converge. Improved central bank signals reduce disagreement across heterogeneous agents. The empirical prediction is a narrowing in the cross-sectional dispersion of inflation expectations and a tighter clustering of rate path forecasts. Evidence from the Federal Reserve Bank of Cleveland's Survey of Professional Forecasters confirms this pattern: the interquartile range of one-year-ahead inflation expectations compressed markedly following the adoption of explicit forward guidance under Bernanke and remained contained through the Powell era, with notable exceptions during the 2021 inflation surprise.5
Step 3 — Market Prices Become More Informative. Improved convergence of beliefs reduces the noise component of market prices. Represent the market price as:
where ε_m captures both idiosyncratic noise and the component attributable to belief dispersion. As central bank signalling improves, Var(ε_m) falls. Treasury yield curve dynamics embed cleaner expectations about the policy rate path; TIPS breakeven inflation rates become more reliable proxies for expected inflation; option-implied volatility in interest rate markets contracts. These effects are empirically documented. Research by Czudaj in Macroeconomic Dynamics (2025) — using structural VAR methods with sign restrictions and Bayesian estimation — demonstrates that ECB monetary policy communication shocks, identified through hawkishness sentiment derived from press conferences, significantly predict interbank interest rates, professional inflation expectations, and the dispersion of those expectations, even after controlling for actual policy rate changes.6
Step 4 — The Central Bank Learns from Markets. The FOMC is not merely a transmitter of information; it is simultaneously a receiver. The term structure of interest rates, inflation breakevens, credit spreads, and option-implied probability distributions over future policy rates constitute, in aggregate, a real-time decentralised information aggregation mechanism. The Federal Reserve's internal research processes systematically incorporate this market intelligence. In the notation of this framework:
The central bank's estimate of the macroeconomic state is a function of both its own model-based projections and the market signals those projections have themselves helped to sharpen. The recursive structure is thus:
Central bank communication at time t feeds into market prices at time t, which inform policymakers' beliefs about the state of the economy, which in turn conditions communication at t+1. Information flows in both directions simultaneously; the institutional architecture of transparency is the infrastructure through which this bidirectional flow operates.
"The value of better central bank signals increases with market responsiveness; the value of market information increases with central bank transparency. Each complements the other in a self-reinforcing system of mutual learning."
— Author's formulation, building on strategic complementarity in information games
IV. Equilibrium Analysis: Low-Transparency and High-Transparency Regimes
IV.i. The Low-Transparency Equilibrium
In the low-transparency regime, the central bank's public signal carries high noise — either because it is infrequent, ambiguous, or insufficiently credible for Bayesian agents to weight heavily. Market participants consequently rely primarily on their own private signals, which by hypothesis are dispersed and contradictory. Belief dispersion remains elevated, asset price volatility is structurally higher, and the informational content of market prices is degraded. Policy transmission is sluggish because private sector agents cannot efficiently coordinate expectations around the intended policy path.
The historical analogue is instructive. Prior to the systematic reforms initiated by Alan Greenspan and accelerated by Ben Bernanke — particularly the adoption of explicit meeting-day statements in 1994 and the introduction of the inflation target in 2012 — monetary policy operated in conditions closer to this regime. The chronic market volatility surrounding Federal Reserve decisions in the 1970s and early 1980s partly reflected not only macroeconomic instability but the informational degradation consequent upon opaque central bank communication. As the Federal Reserve Bank of San Francisco's Economic Letter on dynamic central bank communication (2025) observes, the prevailing orthodoxy then held that policy surprises were necessary for monetary policy to have real effects — a view now largely discredited by modern signalling theory and empirical evidence on expectations formation.7
IV.ii. The High-Transparency Equilibrium
In the high-transparency equilibrium, credible and precise communication coordinates private sector beliefs around a well-understood reaction function. Asset prices efficiently incorporate the implied policy path; volatility is concentrated around genuinely unexpected macroeconomic developments rather than uncertainty about the central bank's intentions. Policy transmission is faster and more potent because financial conditions respond preemptively to credible guidance. The equilibrium is unique — in contrast to the multiplicity of potential equilibria in the low-transparency regime — because the public signal resolves the coordination problem facing heterogeneous agents.
A recent study by Gorodnichenko, Pham, and Talavera, published in the Journal of Econometrics (2025), extends this analysis to social media communication, finding that central bank communications on digital platforms — including Twitter and institutional feeds — carry economically significant information content for professional forecasters and financial markets, corroborating the proposition that the channel of communication matters less than its credibility and precision.8
V. Strategic Complementarity and the Positive Feedback Loop
The interaction between central bank communication and market information production exhibits the formal property of strategic complementarity. Letting U_CB(s, y) denote the central bank's payoff function — which increases in the accuracy of its policy decisions — the cross-partial derivative satisfies:
The marginal value of improving central bank signal precision is increasing in the quality of market price signals, and vice versa. This is precisely the condition for a positive feedback loop: each party's investment in informational quality raises the return to the other's investment, and the system gravitates toward a high-information equilibrium when both parties behave rationally. The practical implication is that transparency is not a public good whose benefits are independent of market responsiveness — it is a complement to market sophistication, and the two co-evolve.
This co-evolution is visible in the decades-long trajectory of the Federal Reserve's communication strategy. The sequence — from post-meeting statements to inflation targeting, from quarterly press conferences to eight-meeting press conferences, from qualitative forward guidance to the explicit numerical dot plot — reflects an institution adapting its communicative practice to the demonstrated capacity of increasingly sophisticated financial markets to process and reflect complex signals.
VI. Empirical Evidence: Four Case Studies
When Federal Reserve Chairman Ben Bernanke, in congressional testimony on 22 May 2013, introduced the possibility of tapering the pace of asset purchases without providing sufficient guidance about the conditionality, sequencing, or magnitude of any such adjustment, the market reaction was immediate and disproportionate. Ten-year Treasury yields rose approximately 100 basis points over the subsequent two months; emerging market currencies and equity markets suffered acute dislocations as capital repatriated to dollar-denominated assets. The episode is a canonical illustration of the low-signal-precision pathology. In the framework developed above, the FOMC inadvertently raised Var(ε_s) — the noise in its public signal — precisely at a moment of otherwise well-anchored expectations, and markets experienced a sudden regime shift from high- to low-transparency conditions. The episode subsequently led the FOMC to invest significantly in more explicit, conditional, and gradual communication frameworks — a direct institutional adaptation consistent with the feedback dynamics identified in Section III.
The Federal Reserve's response to the COVID-19 shock under Powell's leadership constitutes perhaps the most compelling demonstration of high-transparency equilibrium mechanics in the central bank's modern history. On 23 March 2020, the FOMC deployed an unprecedented battery of facilities — including emergency asset purchases, credit and liquidity facilities, and explicit forward guidance — alongside unusually clear communication about the conditionality of the policy stance. The forward guidance committed to maintaining near-zero rates "until labour market conditions have reached levels consistent with the Committee's assessments of maximum employment and inflation has risen to 2 percent and is on track to moderately exceed 2 percent for some time." The precision and credibility of this commitment — combined with extensive FOMC communication through speeches, minutes, and congressional testimonies — rapidly anchored financial conditions despite the deepest peacetime economic contraction on record. As the Federal Reserve Bank of San Francisco's 2025 Economic Letter on dynamic central bank communication notes, these policies and communications "helped stabilize markets, threw a lifeline to businesses and households, and put the economy on a quicker path to recovery."9
Mario Draghi's declaration on 26 July 2012 — that the European Central Bank would do "whatever it takes" to preserve the euro — represents a textbook demonstration of high-credibility signalling achieving maximum informational impact with minimum immediate operational action. Italian and Spanish sovereign bond spreads, which had widened to crisis levels threatening monetary union, compressed dramatically within days of the statement, without the ECB having purchased a single bond under the subsequently announced Outright Monetary Transactions programme. The mechanism was precisely that identified in the theoretical framework: a sufficiently credible public signal can dramatically reduce Var(ε_m) — the noise in market prices — even in the absence of the underlying action the signal references. Research by Neugebauer, Russnak, Zimmermann, and Camarero Garcia, published in the Journal of International Money and Finance (2024), confirms statistically that ECB communication events systematically influence government bond spreads across euro area member states, with effects heterogeneous by communication type and credibility context.10
Powell's final months in office have been marked by a signal of a different — and more fundamental — kind. At his 18 March 2026 press conference, Powell maintained the federal funds rate at 3.50–3.75 percent for the third consecutive meeting and addressed directly the question of central bank independence in the context of political pressure from the executive branch and the ongoing Department of Justice inquiry into the Fed's building renovation expenditures. When asked about the consequences of losing the ability to operate independently, Powell stated that central bank independence "has served the people well" and that "if you lose that, it's — first of all, it would be hard to restore the credibility of the institution."11 In signalling theory terms, Powell was communicating a meta-signal: that the credibility precondition for Bayesian updating to function — the very condition under which f(s | θ) can be weighted meaningfully by rational agents — depends on institutional independence. Without credibility, no amount of communication can sustain the high-transparency equilibrium.
VII. Addressing the Overcommunication Critique: The Warsh Doctrine
The analytical framework developed here must confront its most serious institutional challenge directly: the Warsh doctrine. At his Senate Banking Committee confirmation hearing on 21 April 2026, Kevin Warsh articulated a systematic critique of the Powell-era communication architecture. He expressed scepticism about the dot plot — describing it as a commitment device that constrains the FOMC's adaptability: "The Fed tells the whole world what their dots are going to be, what their forecasts are going to be. Well, the Fed's human then — they hold on to those forecasts longer than they should."12 He declined to commit to the eight-meeting press conference schedule, questioned the frequency with which FOMC participants speak publicly, and described his preferred approach as "truth-seeking" rather than "repetition."13 His broader vision — articulated over many years — is of a "back-seat Fed" that intervenes communicatively with force and clarity on genuinely important occasions, rather than sustaining a continuous flow of signals whose marginal informational value, he argues, may be negative.
This critique deserves serious analytical engagement rather than dismissal. There is a coherent theoretical basis for the view that excessively frequent or imprecisely conditioned communication can degrade market information. Hyun Song Shin's critique — that "the louder the [central bank] talks, the more likely it is to hear its own echo" — identifies a legitimate pathology: central bank forward guidance that is too rigid can crowd out genuine price discovery by suppressing market participants' incentives to gather private information.14 Research on the ECB's forward guidance experience likewise documents a paradox: calendar-based guidance in some episodes increased, rather than decreased, government bond sensitivity to macroeconomic news releases, an anomalous result that suggests the mechanism of expectation formation had been disrupted.15
However, these critiques apply with greatest force to two specific failure modes: non-credible communication — where signals cannot be believed because the central bank lacks independence or a reputation for following through — and unconditionally rigid communication — where forward guidance is formulated as calendar-based rather than state-contingent commitments. They do not imply that the solution is reduced communication frequency per se. In the formal framework above, the relevant parameter is not the volume of communication but its precision and credibility. Represent the central bank's public signal as:
If the noise term ε_s is unbiased — that is, if the central bank communicates honestly about its beliefs and reaction function rather than strategically — then additional communication unambiguously increases total information. The issue is not frequency; it is signal design and institutional credibility. Aditya Bhave of Bank of America, commenting on Warsh's hearing, noted: "Less forward guidance would mean less transparency. Warsh has been clear that he views this as a feature rather than a bug."16 This is precisely where the disagreement is most consequential: whether reduced transparency is a feature or a bug depends entirely on whether the primary pathology is overcommunication or non-credible communication. The evidence surveyed here suggests strongly that the latter is the more empirically relevant failure mode.
Moreover, the dot plot — whatever its limitations as a forecast coordination device — serves a critical secondary function as a real-time window into the heterogeneity of FOMC views. At the March 2026 meeting, the median dot projected a single rate cut in 2026 (unchanged), but Powell noted "meaningful movement toward fewer cuts" as four or five participants revised from two expected cuts to one.17 This granular information about the distribution of FOMC opinion is precisely the kind of signal that allows sophisticated market participants to form well-calibrated beliefs about the probability distribution of future policy outcomes — not merely the modal forecast. Eliminating it would reduce market information, not merely central bank transparency.
VIII. The Transition Context: Independence, Credibility, and the Information Precondition
The impending leadership transition at the Federal Reserve is taking place in circumstances that make the informational stakes of central bank communication unusually acute. The political context — including the Trump administration's sustained pressure on the Fed to reduce interest rates, the DOJ inquiry that was directed at Powell's tenure, and the broader debate about executive influence over independent agencies that has reached the Supreme Court — has elevated credibility from a background institutional assumption to a live policy variable.18
In the Bayesian framework, credibility is not merely normatively desirable; it is the functional precondition for the signalling game to operate at all. Rational Bayesian agents discount signals from sources whose independence from political actors is in doubt. If market participants come to believe — correctly or incorrectly — that the FOMC's communication reflects political preferences rather than its technical assessment of the macroeconomic state, the weight they assign to f(s | θ) collapses. The result is precisely the low-transparency equilibrium: higher volatility, wider belief dispersion, degraded price informativeness, and slower policy transmission — regardless of how frequently the central bank communicates.
Powell's repeated and emphatic public defence of institutional independence — including his extraordinary step of attending oral arguments at the Supreme Court in the Cook independence case, which he described as "perhaps the most important legal case in the Fed's 113-year history" — can itself be understood as a credibility-preserving signal.19 He was communicating not about the level of interest rates but about the meta-institutional conditions under which future monetary policy signals would be interpretable. The precision of that signal matters independently of its content.
IX. Policy Implications
IX.i. Preserve Institutionalised Communication Channels
The argument for preserving the post-meeting press conference schedule — and the Summary of Economic Projections — does not rest on tradition or bureaucratic inertia. It rests on the structural observation that these communication channels function as high-frequency, structured signalling mechanisms whose regularity itself has informational value. Agents can maintain well-calibrated prior distributions over policy because they know they will receive a signal update on a predictable schedule. Removing or irregularising that schedule introduces a form of communication uncertainty that is distinct from, and additional to, macroeconomic uncertainty. The Warsh proposal to reduce press conference frequency would, in formal terms, reduce the effective precision of the FOMC's communication technology even if the content of each individual statement were held constant.
IX.ii. Reform Signal Design, Not Signal Volume
Where the overcommunication critique has genuine traction is in the design of specific instruments. The dot plot's limitation is real: by publishing individual anonymous rate path projections, it creates anchoring dynamics that can make the FOMC collectively reluctant to deviate from its published median, even as the economic outlook evolves. The constructive reform — recommended by Ben Bernanke in his Brookings Institution Hutchins Center Working Paper (2025) — is not to abolish the dot plot but to supplement it with scenario analyses, explicit uncertainty bands, and reaction function disclosures that make clear the conditionality of the projections on incoming data.20 This enhances the information content of the signal without the rigidity pathology. Loretta Mester, in her 2024 Bank of Japan conference remarks, similarly argued that "the effectiveness of forward guidance as a policy tool in extraordinary times can be enhanced by improving monetary policy communications in normal times" — a recommendation for investing in communication infrastructure during tranquil periods rather than retreating from it under pressure.21
IX.iii. Treat Markets as Information Partners, Not Mere Audiences
The most consequential reframing implied by the recursive Bayesian model is the reconceptualisation of markets not as passive recipients of central bank signals but as active, decentralised information processors whose outputs — prices — are themselves policy inputs. This reconceptualisation has implications for how FOMC participants interpret market reactions to their communications. A market that moves sharply in response to a policy signal is not necessarily misunderstanding the signal; it may be aggregating private information that validates or challenges the policymaker's own assessment of the macroeconomic state. The appropriate institutional response is not to reduce communication in order to avoid "disappointing" markets — it is to improve the design of communication so that market responses can be more easily interpreted as signals of genuine new information rather than noise-amplified overreaction.
IX.iv. Maintain Credibility as the First-Order Institutional Asset
The political pressures Powell has navigated — and which his successor will inherit in a form potentially more acute — underscore that credibility is the first-order institutional asset, prior to and more fundamental than any specific communication instrument. Without credibility, the entire information system identified in this paper collapses: Bayesian updating becomes incoherent because rational agents cannot form well-calibrated beliefs about the bias in the central bank's signals. The appropriate policy response to credibility threats is not to communicate less — which would reduce the central bank's capacity to demonstrate that its communications reflect honest assessments — but to communicate more precisely and more demonstrably consistently with the bank's stated reaction function.
X. Conclusion: The Legacy of an Information Architecture
This paper has demonstrated that central bank communication is not merely a supplementary activity adjacent to monetary policy — it is constitutive of the informational environment within which monetary policy operates. The recursive Bayesian structure identified here:
means that the quality of central bank signals at time t determines the quality of market price signals at time t, which in turn conditions the informational inputs available to policymakers at t+1. Communication and policymaking are not separable activities; they are co-determined elements of a single recursive information system.
Under credible and informative signalling, the equilibrium properties of this system are well-identified: aggregate uncertainty declines, market efficiency improves, policy transmission accelerates, and policymakers have access to richer real-time information about the state of the economy. The empirical record of the Bernanke-Yellen-Powell era — from the stabilisation of inflation expectations through explicit targeting, to the effectiveness of pandemic-era forward guidance, to the rapid re-anchoring of expectations during the 2022–2023 disinflation — is broadly consistent with these theoretical predictions.
Powell steps down from the chairmanship on 15 May 2026 — or, as he has indicated, continues as chair pro tempore until Warsh is confirmed — having delivered 63 post-meeting press conferences, having institutionalised the eight-meeting press conference schedule, and having navigated the FOMC through the most challenging inflationary episode since the Volcker era. His communication legacy is not a stylistic preference for openness but a structural contribution: the construction and maintenance of an institutional information architecture through which the Federal Reserve and financial markets engage in a continuous, mutually informative dialogue.
Whether his successor will preserve, reform, or dismantle that architecture is among the most consequential institutional questions in contemporary monetary policy. The theoretical and empirical case developed here suggests that the costs of retreat from transparency — particularly in conditions of heightened political pressure on central bank independence — are likely to be substantially higher than the costs of the communication failures the overcommunication critique identifies. Reducing the signal is not a solution to the problem of noisy signals; it is the problem.
The central bank's most powerful instrument is not the rate it sets. It is the belief it sustains.
Footnotes
Selected References
Warsh, Kevin. Senate Committee on Banking, Housing, and Urban Affairs Confirmation Hearing Testimony. Washington, D.C., 21 April 2026.