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Dynamic Time Warping as a Similarity Measure: Applications in Finance

Tsinaslanidis, Prodromos, Alexandridis, Antonis, Zapranis, Achilleas, Livanis, E. (2014) Dynamic Time Warping as a Similarity Measure: Applications in Finance. In: Hellenic Finance and Accounting Association, 12-13 December, 2014, Volos, Greece. (KAR id:43498)

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Abstract

This paper presents the basic DTW-algorithm and the manner it can be used as a similarity measure for two different series that might differ in length. Through a simulation process it is being showed the relation of DTW-based similarity measure, dubbed ?_DTW, with two other celebrated measures, that of the Pearson’s and Spearman’s correlation coefficients. In particular, it is shown that ?_DTW takes lower (greater) values when other two measures are great (low) in absolute terms. In addition a dataset composed by 8 financial indices was used, and two applications of the aforementioned measure are presented. First, through a rolling basis, the evolution of ?_DTW has been examined along with the Pearson’s correlation and the volatility. Results showed that in periods of high (low) volatility similarities within the examined series increase (decrease). Second, a comparison of the mean similarities across different classes of months is being carried. Results vary, however a statistical significant greater similarity within Aprils is being reported compared to other months, especially for the CAC 40, IBEX 35 and FTSE MIB indices.

Item Type: Conference or workshop item (Paper)
Subjects: H Social Sciences > HG Finance
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Antonis Alexandridis
Date Deposited: 20 Nov 2014 11:09 UTC
Last Modified: 16 Feb 2021 12:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/43498 (The current URI for this page, for reference purposes)
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