Shock, Communication, and Yield Curve Repricing: A Two-Step Empirical Framework for Copom Events in Brazil
TLDR
This paper proposes a two-step framework to analyze how shocks and Copom communication reprice the Brazilian DI yield curve.
Key contributions
- Proposes a two-step empirical framework to analyze Brazilian DI curve repricing around Copom events.
- Separates initial market shock reactions from subsequent repricing before the first Copom statement.
- Utilizes a rich dataset including market data, expectations, and structured textual features from Copom statements.
- Finds the framework is most informative for the front and intermediate sections of the yield curve.
Why it matters
This paper offers a novel, implementable methodology for understanding how monetary policy shocks and communication jointly influence Brazil's yield curve dynamics. It provides a robust tool for assessing market reactions to central bank events.
Original Abstract
This paper proposes a two-step empirical framework to study the repricing of the Brazilian DI curve around Copom-related events. The empirical strategy separates the initial market reaction associated with the underlying shock from the subsequent repricing observed between the shock and the first Copom statement that follows it. The dataset combines a hand-built event calendar, daily market data, Focus expectations, and structured textual features extracted from Copom statements, including tone, forward-guidance direction and explicitness, and uncertainty indicators. In the updated sample, 59 events retain both analytical windows, allowing the second stage to include the full set of same-day Copom events. Baseline results suggest that the framework is most informative at the front and intermediate sections of the curve, especially for the DI 252d maturity, for which the baseline OLS specification reaches an in-sample R2 of about 0.43. By contrast, explanatory power is materially weaker for the DI 504d maturity and for slope adjustments, and out-of-sample performance remains limited. The textual variables display economically plausible signs, but their statistical contribution is not uniformly robust across specifications. The main contribution of the paper is therefore methodological and applied: it offers an implementable event-based decomposition for assessing how shocks and Copom communication jointly shape curve dynamics in Brazil.
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