Artikel

The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa

In this article the out-of-sample forecasting performance of exchange rate determination is examined without imposing the restriction that coefficients are fixed over time. Both fixed and variable coefficient versions of conventional structural models are considered, with and without a lagged dependent variable. A Variable Parameter Regression (VPR) technique based on recursive application of the Kalman filter is used to improve the predictive performance of a class oi monetary exchange rate models.

Language
Englisch

Bibliographic citation
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 26 ; Year: 1995 ; Issue: 2 ; Pages: 64-71 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Classification
Management

Event
Geistige Schöpfung
(who)
Wesso, Gilbert
Event
Veröffentlichung
(who)
African Online Scientific Information Systems (AOSIS)
(where)
Cape Town
(when)
1995

DOI
doi:10.4102/sajbm.v26i2.825
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Wesso, Gilbert
  • African Online Scientific Information Systems (AOSIS)

Time of origin

  • 1995

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