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Fed Implied Market Prices and Risk Premia / Charles W. Calomiris, Joanna Harris, Harry Mamaysky, Cristina Tessari.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w30210.Publication details: Cambridge, Mass. National Bureau of Economic Research 2022.Description: 1 online resource: illustrations (black and white)Subject(s): Other classification:
  • E32
  • E44
  • E52
  • G1
  • G12
Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We introduce FDIF, a measure of Fed communication surprise based on the text of FOMC statements. FDIF measures the difference between text-implied and actual values of key market variables. Positive FDIF of countercyclical variables (e.g., credit spreads) is associated with negative macroeconomic forecast revisions; the opposite holds for procyclical variables. Industries that hedge bad FDIF news earn low returns on FOMC announcement days, but high returns on non-FOMC days. The opposite holds for FDIF-exposed industries, and the return differences are large. Controlling for FDIF exposure, rate-based policy surprise measures are not priced in the cross-section of industry returns.
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July 2022.

We introduce FDIF, a measure of Fed communication surprise based on the text of FOMC statements. FDIF measures the difference between text-implied and actual values of key market variables. Positive FDIF of countercyclical variables (e.g., credit spreads) is associated with negative macroeconomic forecast revisions; the opposite holds for procyclical variables. Industries that hedge bad FDIF news earn low returns on FOMC announcement days, but high returns on non-FOMC days. The opposite holds for FDIF-exposed industries, and the return differences are large. Controlling for FDIF exposure, rate-based policy surprise measures are not priced in the cross-section of industry returns.

Hardcopy version available to institutional subscribers

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