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How Puzzling Is the Forward Premium Puzzle? A Meta-Analysis

Tomas Havranek, Diana Zigraiova, Zuzana Irsova and Jiri Novak

No 15817, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: A key theoretical prediction in financial economics is that under risk neutrality and rational expectations a currency's forward rates should form unbiased predictors of future spot rates. Yet scores of empirical studies report negative slope coefficients from regressions of spot rates on forward rates. We collect 3,643 estimates from 91 research articles and using recently developed techniques investigate the effect of publication and misspecification biases on the reported results. Correcting for these biases yields slope coefficients in the intervals (0.23,0.45) and (0.95,1.16) for the currencies of developed and emerging countries respectively, which implies that empirical evidence is in line with the theoretical prediction for emerging economies and less puzzling than commonly thought for developed economies. Our results also suggest that the coefficients are systematically influenced by the choice of data, numeraire currency, and estimation method.

Keywords: Forward rate bias; Uncovered interest parity; Meta-analysis; Publication bias; Model uncertainty (search for similar items in EconPapers)
JEL-codes: C83 F31 G14 (search for similar items in EconPapers)
Date: 2021-02
New Economics Papers: this item is included in nep-cwa and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (57)

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Related works:
Journal Article: How puzzling is the forward premium puzzle? A meta-analysis (2021) Downloads
Working Paper: How Puzzling Is the Forward Premium Puzzle? A Meta-Analysis (2020) Downloads
Working Paper: How puzzling is the forward premium puzzle? A meta-analysis (2020) Downloads
Working Paper: How puzzling is the forward premium puzzle? A meta-analysis (2020) Downloads
Working Paper: How Puzzling Is the Forward Premium Puzzle? A Meta-Analysis (2020) Downloads
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