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Information Journal Paper

Title

The application of Dynamic Time Wrapping Algorithm and correlation coefficients in Time Sires Clustering for Index Tracking

Pages

  189-205

Abstract

Index tracking-one of the most popular methods of passive portfolio management-tries to construct a portfolio with same return as a financial market index. This research investigates the application of a binary programming model in time series clustering for Index tracking. Various similarity measurements – Pearson, Kendall, Spearman, Erdem and Dynamic Time Wrapping based distance-have been applied in this research. Out of Sample test on Market Ratio and Tracking Error of portfolios based on 50 more active companies index of Tehran Stock Exchange in second, third and fourth season of 1396 and first season of 1397 shows that all portfolios successfully replicate the performance of index and the Tracking Error of Pearson correlation based portfolio in lower than Others. Paired comparison test on Tracking Error of portfolios shows that Tracking Error of Pearson Correlation based portfolio is significantly (99% confidence level) lower than other portfolios.

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  • Cite

    APA: Copy

    TONDNEVIS, FARID, & HAKIMIAN, HASAN. (2020). The application of Dynamic Time Wrapping Algorithm and correlation coefficients in Time Sires Clustering for Index Tracking. INVESTMENT KNOWLEDGE, 9(35 ), 189-205. SID. https://sid.ir/paper/386341/en

    Vancouver: Copy

    TONDNEVIS FARID, HAKIMIAN HASAN. The application of Dynamic Time Wrapping Algorithm and correlation coefficients in Time Sires Clustering for Index Tracking. INVESTMENT KNOWLEDGE[Internet]. 2020;9(35 ):189-205. Available from: https://sid.ir/paper/386341/en

    IEEE: Copy

    FARID TONDNEVIS, and HASAN HAKIMIAN, “The application of Dynamic Time Wrapping Algorithm and correlation coefficients in Time Sires Clustering for Index Tracking,” INVESTMENT KNOWLEDGE, vol. 9, no. 35 , pp. 189–205, 2020, [Online]. Available: https://sid.ir/paper/386341/en

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