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Portmanteau tests for linearity of stationary time series

Psaradakis, Zacharias and Vavra, Marian (2019) Portmanteau tests for linearity of stationary time series. Econometric Reviews 38 (2), pp. 248-262. ISSN 0747-4938.

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Abstract

This paper considers the problem of testing for linearity of stationary time series. Portmanteau tests are discussed which are based on generalized correlations of residuals from a linear model (that is, autocorrelations and cross-correlations of different powers of the residuals). The finite-sample properties of the tests are assessed by means of Monte Carlo experiments. The tests are applied to 100 time series of stock returns.

Metadata

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis, available online at the link above.
Keyword(s) / Subject(s): Autocorrelation, cross-correlation, nonlinearity, portmanteau test, stock returns
School: Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School
Depositing User: Professor Zacharias Psaradakis
Date Deposited: 17 Jan 2017 14:57
Last Modified: 16 Jun 2025 04:26
URI: https://eprints.bbk.ac.uk/id/eprint/16620

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