De facto exchange rate regime classifications: an evaluation

There exist several statistically-based exchange rate regime classifications that disagree with one another to a disappointing degree. To what extent is this a matter of the quality of the design of these schemes, and to what extent does it reflect the need to supplement statistics with other inform...

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Main Authors: Bleaney, Michael, Tian, Mo, Yin, Lin
Format: Article
Published: Springer 2017
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Online Access:https://eprints.nottingham.ac.uk/39754/
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author Bleaney, Michael
Tian, Mo
Yin, Lin
author_facet Bleaney, Michael
Tian, Mo
Yin, Lin
author_sort Bleaney, Michael
building Nottingham Research Data Repository
collection Online Access
description There exist several statistically-based exchange rate regime classifications that disagree with one another to a disappointing degree. To what extent is this a matter of the quality of the design of these schemes, and to what extent does it reflect the need to supplement statistics with other information (as is done in the IMF’s de facto classification)? It is shown that statistical methods are good at the basics (distinguishing some type of peg from some type of float), but less helpful in other respects, such as determining whether a float is managed, particularly for countries that are not very remote from their main trading partners. Different measures of exchange rate volatility have been used but are not primarily responsible for differences between classifications. The theoretical underpinning of particular classification schemes needs to be more explicit.
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spelling nottingham-397542020-05-04T19:57:53Z https://eprints.nottingham.ac.uk/39754/ De facto exchange rate regime classifications: an evaluation Bleaney, Michael Tian, Mo Yin, Lin There exist several statistically-based exchange rate regime classifications that disagree with one another to a disappointing degree. To what extent is this a matter of the quality of the design of these schemes, and to what extent does it reflect the need to supplement statistics with other information (as is done in the IMF’s de facto classification)? It is shown that statistical methods are good at the basics (distinguishing some type of peg from some type of float), but less helpful in other respects, such as determining whether a float is managed, particularly for countries that are not very remote from their main trading partners. Different measures of exchange rate volatility have been used but are not primarily responsible for differences between classifications. The theoretical underpinning of particular classification schemes needs to be more explicit. Springer 2017-04 Article PeerReviewed Bleaney, Michael, Tian, Mo and Yin, Lin (2017) De facto exchange rate regime classifications: an evaluation. Open Economies Review, 28 (2). pp. 369-382. ISSN 1573-708X Exchange rate regimes; Trade; Volatility http://link.springer.com/article/10.1007%2Fs11079-016-9427-7 doi:10.1007/s11079-016-9427-7 doi:10.1007/s11079-016-9427-7
spellingShingle Exchange rate regimes; Trade; Volatility
Bleaney, Michael
Tian, Mo
Yin, Lin
De facto exchange rate regime classifications: an evaluation
title De facto exchange rate regime classifications: an evaluation
title_full De facto exchange rate regime classifications: an evaluation
title_fullStr De facto exchange rate regime classifications: an evaluation
title_full_unstemmed De facto exchange rate regime classifications: an evaluation
title_short De facto exchange rate regime classifications: an evaluation
title_sort de facto exchange rate regime classifications: an evaluation
topic Exchange rate regimes; Trade; Volatility
url https://eprints.nottingham.ac.uk/39754/
https://eprints.nottingham.ac.uk/39754/
https://eprints.nottingham.ac.uk/39754/