Do Divisia monetary aggregates help forecast exchange rates in a negative interest rate environment?

Luis Molinas, Jane Binner*, Meng Tong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This paper contributes to the literature as the first work of its kind to examine the role and importance of Divisia monetary aggregates and concomitant User Cost Price indices as superior monetary policy forecasting tools in a negative interest rate environment. We compare the performance of Divisia monetary aggregates with traditional simple-sum aggregates in several theoretical models and in a Bayesian VAR to forecast the exchange rates between the euro, the dollar and yuan at various horizons using quarterly data. We evaluate their performance against that of a random walk using two criteria:
Root Mean Square Error ratios and the Clark-West statistic. We find that, under a free- floating exchange regime, superior Divisia monetary aggregates outperform their simple sum counterparts and the benchmark random walk in a negative interest rate environment, consistently.
Original languageEnglish
JournalEuropean Journal of Finance
Early online date12 Oct 2022
DOIs
Publication statusE-pub ahead of print - 12 Oct 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Uncovered Interest Rate
  • Forecasting
  • Exchange rates
  • Bayesian Vector Autoregression
  • Sticky Price
  • Bayesian vector autoregression
  • exchange rates
  • uncovered interest rate
  • sticky price

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Economics, Econometrics and Finance (miscellaneous)

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