Abstract
Time-reversibility (TR) amounts to temporal symmetry in the probabilistic structure of a strictly stationary time series process. In other words, a stochastic process is said to be TR if its probabilistic structure is unaffected by reversing (“mirroring”) the direction of time. Otherwise, the process is said to be time-irreversible, or non-reversible. Confirmation of time-irreversibility is important because, according to Cox (1981), it is a symptom of nonlinearity and/or non-Gaussianity. In the analysis of business cycles, for instance, the peaks and troughs of a business time series differ in magnitude, not just in sign, as the dynamics of contractions in an economy are more violent but also more short-lived than the expansions, indicating asymmetric cycles. Time irreversible behavior may also naturally arise in stochastic processes considered in, for instance, quantum mechanics, biomedicine, queuing theory, system engineering, and financial economics. Time-irreversibility automatically excludes Gaussian linear processes, or static nonlinear transformations of such processes, as possible DGPs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
De Gooijer, J.G. (2017). Time-Reversibility. In: Elements of Nonlinear Time Series Analysis and Forecasting. Springer Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-43252-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-43252-6_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43251-9
Online ISBN: 978-3-319-43252-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)