Arbeitspapier

Nonlinearities and Asymmetric Adjustment to PPP in an Exchange Rate Model with Inflation Expectations

This paper estimates a model of the real exchange rate including standard fundamentals as well as two alternative measures of inflation expectations for five inflation targeting countries (UK, Canada, Australia, New Zealand, Sweden) over the period January 1993-July 2019. Both a benchmark linear ARDL model and a nonlinear ARDL (NARDL) specification are considered. The results suggest that the nonlinear framework is more appropriate to capture the behaviour of real exchange rates given the presence of asymmetries both in the long- and short-run. In particular, the speed of adjustment towards the PPP-implied long-run equilibrium is three times faster in a nonlinear framework, which provides much stronger evidence in support of PPP. Moreover, inflation expectations play an important role, with survey-based ones having a more sizable effect than market-based ones. Monetary authorities should aim to achieve a high degree of credibility to manage them and thus currency fluctuations effectively. The inflation targeting framework might be especially appropriate for this purpose.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 8921

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Foreign Exchange
International Financial Markets
Subject
nonlinearities
asymmetric adjustment
PPP
real exchange rate
inflation expectations

Event
Geistige Schöpfung
(who)
Anderl, Christina
Caporale, Guglielmo Maria
Event
Veröffentlichung
(who)
Center for Economic Studies and Ifo Institute (CESifo)
(where)
Munich
(when)
2021

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Anderl, Christina
  • Caporale, Guglielmo Maria
  • Center for Economic Studies and Ifo Institute (CESifo)

Time of origin

  • 2021

Other Objects (12)