Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method
Time irreversibility of a time series, which can be defined as the variance of properties under the time-reversal transformation, is a cardinal property of non-equilibrium systems and is associated with predictability in the study of financial time series. Recent pieces of literature have proposed t...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:58bfc738c58b4abb952ebeaee66e1dc22021-11-12T06:26:16ZMeasuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method2296-424X10.3389/fphy.2021.777958https://doaj.org/article/58bfc738c58b4abb952ebeaee66e1dc22021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphy.2021.777958/fullhttps://doaj.org/toc/2296-424XTime irreversibility of a time series, which can be defined as the variance of properties under the time-reversal transformation, is a cardinal property of non-equilibrium systems and is associated with predictability in the study of financial time series. Recent pieces of literature have proposed the visibility-graph-based approaches that specifically refer to topological properties of the network mapped from a time series, with which one can quantify different degrees of time irreversibility within the sets of statistically time-asymmetric series. However, all these studies have inadequacies in capturing the time irreversibility of some important classes of time series. Here, we extend the visibility-graph-based method by introducing a degree vector associated with network nodes to represent the characteristic patterns of the index motion. The newly proposed method is parameter-free and temporally local. The validation to canonical synthetic time series, in the aspect of time (ir)reversibility, illustrates that our method can differentiate a non-Markovian additive random walk from an unbiased Markovian walk, as well as a GARCH time series from an unbiased multiplicative random walk. We further apply the method to the real-world financial time series and find that the price motions occasionally equip much higher time irreversibility than the calibrated GARCH model does.Ryutaro MoriRuiyun LiuYu ChenFrontiers Media S.A.articletime series analysistime-reversibilityvisibility graphtime series motifstime series similarityPhysicsQC1-999ENFrontiers in Physics, Vol 9 (2021) |
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time series analysis time-reversibility visibility graph time series motifs time series similarity Physics QC1-999 |
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time series analysis time-reversibility visibility graph time series motifs time series similarity Physics QC1-999 Ryutaro Mori Ruiyun Liu Yu Chen Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
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Time irreversibility of a time series, which can be defined as the variance of properties under the time-reversal transformation, is a cardinal property of non-equilibrium systems and is associated with predictability in the study of financial time series. Recent pieces of literature have proposed the visibility-graph-based approaches that specifically refer to topological properties of the network mapped from a time series, with which one can quantify different degrees of time irreversibility within the sets of statistically time-asymmetric series. However, all these studies have inadequacies in capturing the time irreversibility of some important classes of time series. Here, we extend the visibility-graph-based method by introducing a degree vector associated with network nodes to represent the characteristic patterns of the index motion. The newly proposed method is parameter-free and temporally local. The validation to canonical synthetic time series, in the aspect of time (ir)reversibility, illustrates that our method can differentiate a non-Markovian additive random walk from an unbiased Markovian walk, as well as a GARCH time series from an unbiased multiplicative random walk. We further apply the method to the real-world financial time series and find that the price motions occasionally equip much higher time irreversibility than the calibrated GARCH model does. |
format |
article |
author |
Ryutaro Mori Ruiyun Liu Yu Chen |
author_facet |
Ryutaro Mori Ruiyun Liu Yu Chen |
author_sort |
Ryutaro Mori |
title |
Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
title_short |
Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
title_full |
Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
title_fullStr |
Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
title_full_unstemmed |
Measuring the Topological Time Irreversibility of Time Series With the Degree-Vector-Based Visibility Graph Method |
title_sort |
measuring the topological time irreversibility of time series with the degree-vector-based visibility graph method |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/58bfc738c58b4abb952ebeaee66e1dc2 |
work_keys_str_mv |
AT ryutaromori measuringthetopologicaltimeirreversibilityoftimeserieswiththedegreevectorbasedvisibilitygraphmethod AT ruiyunliu measuringthetopologicaltimeirreversibilityoftimeserieswiththedegreevectorbasedvisibilitygraphmethod AT yuchen measuringthetopologicaltimeirreversibilityoftimeserieswiththedegreevectorbasedvisibilitygraphmethod |
_version_ |
1718431169806073856 |