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Journal of Time Series Econometrics

Editor-in-Chief: Hidalgo, Javier

2 Issues per year


Mathematical Citation Quotient (MCQ) 2016: 0.10

Online
ISSN
1941-1928
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On the Exact Discretization of a Continuous Time AR(1) Model driven by either Long Memory or Antipersistent Innovations: A Fractional Algebra Approach

Theodore Simos
Published Online: 2012-11-14 | DOI: https://doi.org/10.1515/1941-1928.1145

Abstract

Exact discretization formulae are established for a first-order stochastic differential equation driven by a fractional noise of either long memory or antipersistent type. We assume that the underlying process is sampled at non-unit equispaced observational intervals. Using fractional algebra techniques the exact discretization formulae are derived in terms of confluent hypergeometric and incomplete gamma functions which admit infinite order series expansions.

Keywords: stochastic differential equations; fractional noise; exact discretization formulae; special functions

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Published Online: 2012-11-14


Citation Information: Journal of Time Series Econometrics, ISSN (Online) 1941-1928, DOI: https://doi.org/10.1515/1941-1928.1145.

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©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston. Copyright Clearance Center

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