The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand
Goodness Aye (),
Rangan Gupta and
Francois Stofberg ()
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Goodness Aye: Department of Economics, University of Pretoria
Francois Stofberg: Department of Economics, University of Pretoria
No 201304, Working Papers from University of Pretoria, Department of Economics
This paper analyses the out-of-sample forecasting performance of non-linear vs. linear models for the South African Rand against the United States dollar and the British Pound, in real terms. We compare the forecasting performance of point, interval and density forecasts for non-linear Band- TAR and ESTAR models to linear autoregressive models. Our data spans from 1970:01 to 2012:07, and we found that there are no significant gains from using either the Band-TAR or ESTAR non-linear models, compared to the linear AR model in terms of out-of-sample forecasting performance, especially at short horizons. We draw similar conclusions to other literature, and find that for the South African rand against the United States dollar and British pound, non-linearities are too weak for Band-TAR and ESTAR models to estimate.
Keywords: Real exchange rate; Transaction costs; Band-threshold autoregressive model; Exponential smooth transition autoregressive model; Point forecast; Interval forecast; Density forecast; South Africa (search for similar items in EconPapers)
JEL-codes: C22 C52 C53 F31 F47 (search for similar items in EconPapers)
Pages: 26 pages
New Economics Papers: this item is included in nep-afr, nep-for and nep-mon
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Journal Article: The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:pre:wpaper:201304
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