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Matthew Naylor (@MatthewNaylor_) profile picture

Matthew Naylor

@MatthewNaylor_

Economist at @bankofengland and PhD candidate at @UniofOxford. Views are my own.

matthewnaylor.org
Joined September 2023
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Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)Photo by Matthew Naylor (@MatthewNaylor_)
Sharing an updated @BoE_Research version of my working paper with Niki Anesti & Vania Esady showing that food prices matter most for household inflation expectations. Many new results including uncovering persistent, non-linear, and asymmetric dynamics. bankofengland.co.uk/working-…
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Really excited to be going to this event on communication of maths to talk about my work with @MatthewNaylor_ on comms of complex economics.
Plus Magazine (@plusmathsorg) profile picturePlus Magazine@plusmathsorg16 Oct 2024
Replying to @plusmathsorg @d_spiegel
@MatthewNaylor_ (Bank of England) and @mcmahonecon (Uni of Oxford) talking about Communicating Complex Information at the Bank of England @UniofOxford @OxfordEconDept @StHughsCollege
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Presenting a paper recently published as a #LSE #CfM DP on household inflation expectations tomorrow at the #EEARotterdam. Come on down if you're around! lse.ac.uk/CFM/assets/pdf/CFM…
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Happy to share my new WP published by the #BaselCommittee at the @BIS, joint with @RenzoCorrias and Peter Welz. Our analysis, causally attributing banks’ window-dressing bhvr to attempts to arbitrage the #GSIB fwk, has underpinned the below consultation. bis.org/bcbs/publ/wp42.htm
Banks' window-dressing of the G-SIB framework: causal evidence from a quantitative impact study

Banks' window-dressing of the G-SIB framework: causal evidence from a quantitative impact study

Exploiting a novel and uniquely extensive bank-level dataset, this study employs a difference-in-differences empirical strategy to test whether the response of banks to the G-SIB framework - a key...

bis.org
Bank for International Settlements (@BIS_org) profile pictureBank for International Settlements
@BIS_org7 Mar 2024
The #BaselCommittee consultation on window-dressing proposes to require banks to report and disclose the indicators used to calculate #GSIB scores based on average values over the reporting year, rather than year-end values #BaselIII bis.org/press/p240307.htm
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This bhvr accounts for half of the observed year-end contractions in notional derivatives, equating to 30 trillion EUR per year – 5% of total global activity.
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Our results identify banks’ responses to the GSIB fwk as a direct contributor to year-end market volatility.
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SWP 1047 by Matthew Naylor (BoE) and Michael McMahon @mcmahonecon (@OxfordEconDept) argues traditional semantic measures of linguistic complexity are less effective for evaluating central bank comms and suggest conceptual complexity measures are better bankofengland.co.uk/working-…
Getting through: communicating complex information

Getting through: communicating complex information

Staff working papers set out research in progress by our staff, with the aim of encouraging comments and debate.

bankofengland.co.uk
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Using my very first tweet to announce a new @BoE_Research and @cepr_org working paper with @mcmahonecon. We investigate how complex information can be communicated effectively to a broad range of audiences. 1/7 bankofengland.co.uk/working-…
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Applying the CCI to quarterly BoE publications, we show that efforts to simplify language have focused on the Flesch-Kincaid score. Yet, the conceptual complexity (which matters more for ‘getting through’) has not followed the same trend-decline. 6/7
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Image from Matthew Naylor (@MatthewNaylor_)
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Our results suggest that policy institutions could benefit from paying particular attention to ‘conceptual’ complexity for effective policy communication design. 7/7
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