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Bicorrelations and cross-bicorrelations as non-linearity tests and tools for exchange rate forecasting

✍ Scribed by Chris Brooks; Melvin J. Hinich


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
242 KB
Volume
20
Category
Article
ISSN
0277-6693

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✦ Synopsis


This paper proposes and implements a new methodology for forecasting time series, based on bicorrelations and cross-bicorrelations. It is shown that the forecasting technique arises as a natural extension of, and as a complement to, existing univariate and multivariate non-linearity tests. The formulations are essentially modi®ed autoregressive or vector autoregressive models respectively, which can be estimated using ordinary least squares. The techniques are applied to a set of high-frequency exchange rate returns, and their out-of-sample forecasting performance is compared to that of other time series models.