Live - ECB Conference on Monetary Policy 2026 (Day 2)

Live - ECB Conference on Monetary Policy 2026 (Day 2)

Humanities, Social Sciences & Thought Economics & Finance KCBMacroeconomicsKCBMMonetary economics
🎙 European Central Bank 👥 108K 📅 October 6, 2026 ⏱ 258 min 👁 2K 📄 original study 🧭 2026-10-07
Available in: English (current) Français

Keywords

interest rate surprisesinformation frictionsmonetary policy shocksfinancial marketsempirical macroeconomics

Summary

The video is the second day of the ECB Conference on Monetary Policy 2026, featuring academic sessions on monetary policy and financial markets. The provided transcript focuses on the first paper, ‘Interest Rate Surprises When the Fed Doesn’t Speak’ by Silvia Miranda-Agrippino (Oxford University) and John C. Williams (New York Fed). The presentation introduces a new empirical approach comparing interest rate surprises around Fed announcements and around macroeconomic data releases (CPI and non-farm payrolls). The authors find that surprises around both types of events exhibit similar predictability patterns, suggesting that information frictions, rather than purely learning about the Fed’s reaction function, drive the observed predictability. The discussion by Peter Karadi (ECB) praises the clean identification strategy and raises questions about interpretation. The conference program also includes a second paper on Kalshi and macro markets, a session of young economists with three presentations, and a keynote by Mariassunta Giannetti on Generative AI and entrepreneurship. As only the first paper and discussion are transcribed, this analysis largely focuses on that segment.

169 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value lies in the innovative use of non-Fed events to isolate information frictions in monetary policy surprise predictability. The argumentation is rigorous: the authors build a simple model with imperfect information, derive testable predictions, and compare empirical results from Fed and non-Fed events. The separation of channels (learning about the economy vs. learning about the reaction function) is well articulated, and robustness checks, including placebo surprises, strengthen the findings. The discussion adds constructive scrutiny, ensuring that the interpretation remains measured.

Scientific Rigor, Source Quality, Title Accuracy

The presentation maintains rigorous scientific standards: it relies on public data (USMPD), replicates existing methods, and includes robustness tests. The source cited in the description is the ECB conference page, which is authoritative. The discussant’s comments are academically grounded. The title accurately describes the event, though the live format means some technical issues may occur; the content itself is carefully structured and well-documented.

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Title / Content Match

Title correctly identifies the live nature and the specific conference day; it accurately reflects the content as a scheduled ECB event.

Quality & Reliability

9/10

The content is an academic conference presentation by established researchers, with rigorous empirical methodology, transparent discussion, and institutional backing. The transcript is highly technical and precise, with no evident bias.

Key Moments

Cited Sources

Contribution & Novelties

The paper contributes to monetary economics by proposing a novel way to disentangle two competing explanations for the predictability of monetary policy surprises—information about the Fed’s economic outlook versus information about its reaction function. By comparing surprises from Fed and non-Fed events, it shows that similar predictability arises from pure macroeconomic data releases, implying a common information friction.

Pour aller plus loin :

106 words

Radar Profile

The radar profile shows high scores across all four dimensions, with particular strength in information quality and reliability, reflecting the academic nature of the presentation. Technical level is also high, while information quantity is slightly lower due to the limited transcript coverage.

Reliability 9/10