A New Method for Identifying the Effects of Foreign Exchange Interventions

Chih Nan Chen, Tsutomu Watanabe, Tomoyoshi Yabu

研究成果: Article査読

6 被引用数 (Scopus)


Central banks react even to intraday changes in the exchange rate; however, in most cases, intervention data are available only at a daily frequency. This temporal aggregation makes it difficult to identify the effects of interventions on the exchange rate. We apply the Bayesian Markov-chain Monte Carlo (MCMC) approach to this endogeneity problem. We use "data augmentation" to obtain intraday intervention amounts and estimate the efficacy of interventions using the augmented data. Applying this new method to Japanese data, we find that an intervention of 1 trillion yen moves the yen/dollar rate by 1.8%, which is more than twice as much as the magnitude reported in previous studies applying ordinary least squares to daily observations. This shows the quantitative importance of the endogeneity problem due to temporal aggregation.

ジャーナルJournal of Money, Credit and Banking
出版ステータスPublished - 2012 12

ASJC Scopus subject areas

  • 会計
  • 財務
  • 経済学、計量経済学


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