Measuring exchange rate flexibility by regression methods

A new and easily implemented regression method is proposed for generating an index of exchange rate flexibility, whilst simultaneously identifying anchors of pegged currencies. The method can distinguish floats from pegs, including those with occasional devaluations. An annual index is calculated th...

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Main Authors: Bleaney, Michael, Tian, Mo
Format: Article
Published: Oxford University Press 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/34558/
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author Bleaney, Michael
Tian, Mo
author_facet Bleaney, Michael
Tian, Mo
author_sort Bleaney, Michael
building Nottingham Research Data Repository
collection Online Access
description A new and easily implemented regression method is proposed for generating an index of exchange rate flexibility, whilst simultaneously identifying anchors of pegged currencies. The method can distinguish floats from pegs, including those with occasional devaluations. An annual index is calculated that can be compared with other regime classification schemes, or used directly in empirical research as a measure of exchange rate flexibility. Different categories in the IMF’s de facto classification, and also in the Reinhart-Rogoff classification, are associated with significantly different average values of the index. Further analysis of managed floats shows that they have a strong tendency to track the US dollar.
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spelling nottingham-345582020-05-04T18:22:46Z https://eprints.nottingham.ac.uk/34558/ Measuring exchange rate flexibility by regression methods Bleaney, Michael Tian, Mo A new and easily implemented regression method is proposed for generating an index of exchange rate flexibility, whilst simultaneously identifying anchors of pegged currencies. The method can distinguish floats from pegs, including those with occasional devaluations. An annual index is calculated that can be compared with other regime classification schemes, or used directly in empirical research as a measure of exchange rate flexibility. Different categories in the IMF’s de facto classification, and also in the Reinhart-Rogoff classification, are associated with significantly different average values of the index. Further analysis of managed floats shows that they have a strong tendency to track the US dollar. Oxford University Press 2017-01-01 Article PeerReviewed Bleaney, Michael and Tian, Mo (2017) Measuring exchange rate flexibility by regression methods. Oxford Economic Papers, 69 (1). pp. 301-319. ISSN 1464-3812 exchange rates currency pegs trade http://oep.oxfordjournals.org/content/early/2016/06/01/oep.gpw029 doi:10.1093/oep/gpw029 doi:10.1093/oep/gpw029
spellingShingle exchange rates
currency pegs
trade
Bleaney, Michael
Tian, Mo
Measuring exchange rate flexibility by regression methods
title Measuring exchange rate flexibility by regression methods
title_full Measuring exchange rate flexibility by regression methods
title_fullStr Measuring exchange rate flexibility by regression methods
title_full_unstemmed Measuring exchange rate flexibility by regression methods
title_short Measuring exchange rate flexibility by regression methods
title_sort measuring exchange rate flexibility by regression methods
topic exchange rates
currency pegs
trade
url https://eprints.nottingham.ac.uk/34558/
https://eprints.nottingham.ac.uk/34558/
https://eprints.nottingham.ac.uk/34558/