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Co-movement analysis of Asian stock markets against FTSE100 and S&P 500: Wavelet-based approach

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  • Adil Yilmaz

    (Financial Economics Graduate Program, Yeditepe University, Istanbul 34755, Turkey)

  • Gazanfer Unal

    (Financial Economics Graduate Program, Yeditepe University, Istanbul 34755, Turkey)

Abstract

Wavelet coherence of time series provide valuable information about dynamic correlation and its impact on time scales. Here we analyze the wavelet coherence of FTSE100 and S&P 500 with selected Asian markets of S&P/ASX 200 (Australia), S&P/ASX200 A-REIT (Australia), BIST (Turkey), HIS (Hong Kong), IDX (Indonesia), KLSE (Malaysia), KOSPI (Korea), N225 (Japan), RTS (Russia), Shenzhen (China), 0050.TW (Taiwan). Wavelet coherence results revealed interconnected relationships between stock markets and how these relationships vary in the time–frequency space. We conclude that developed economy stock markets have strong influences over Asian stock markets, although market dependencies vary by country and change over time. We also suggested that because co-movements shift over time, short term and middle term diversification could be more beneficial taking into account the degree of interrelations. From investors point of view, these relationships provides beneficial information, especially for portfolio diversification and risk elimination.

Suggested Citation

  • Adil Yilmaz & Gazanfer Unal, 2016. "Co-movement analysis of Asian stock markets against FTSE100 and S&P 500: Wavelet-based approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-19, December.
    • Handle: RePEc:wsi:ijfexx:v:03:y:2016:i:04:n:s242478631650033x
    DOI: 10.1142/S242478631650033X
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    References listed on IDEAS

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    Cited by:

    1. Mustafa Gülerce & Gazanfer Ünal, 2017. "Forecasting Of Oil And Agricultural Commodity Prices: Varma Versus Arma," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-30, September.
    2. Mustafa Gülerce & Gazanfer Ünal, 2018. "Electricity price forecasting using multiple wavelet coherence method: Comparison of ARMA versus VARMA," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-20, March.
    3. Emrah Oral & Gazanfer Unal, 2017. "Co-movement of precious metals and forecasting using scale by scale wavelet transform," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-21, March.
    4. Sarat Chandra Nayak & Bijan Bihari Misra, 2018. "Estimating stock closing indices using a GA-weighted condensed polynomial neural network," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-22, December.
    5. Emrah Oral & Gazanfer Unal, 2019. "Modeling and forecasting time series of precious metals: a new approach to multifractal data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-28, December.

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