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A wavelet based approach to measure and manage contagion at different time scales

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  • Berger, Theo

Abstract

We decompose financial return series of US stocks into different time scales with respect to different market regimes.

Suggested Citation

  • Berger, Theo, 2015. "A wavelet based approach to measure and manage contagion at different time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 338-350.
  • Handle: RePEc:eee:phsmap:v:436:y:2015:i:c:p:338-350
    DOI: 10.1016/j.physa.2015.05.053
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    References listed on IDEAS

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    3. Sevillano, María Caridad & Jareño, Francisco & López, Raquel & Esparcia, Carlos, 2024. "Connectedness between oil price shocks and US sector returns: Evidence from TVP-VAR and wavelet decomposition," Energy Economics, Elsevier, vol. 131(C).
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    6. Wang, Xinya & Liu, Huifang & Huang, Shupei & Lucey, Brian, 2019. "Identifying the multiscale financial contagion in precious metal markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 209-219.
    7. Li, Xiafei & Wei, Yu, 2018. "The dependence and risk spillover between crude oil market and China stock market: New evidence from a variational mode decomposition-based copula method," Energy Economics, Elsevier, vol. 74(C), pages 565-581.
    8. Zeng, Sheng & Liu, Xinchun & Li, Xiafei & Wei, Qi & Shang, Yue, 2019. "Information dominance among hedging assets: Evidence from return and volatility directional spillovers in time and frequency domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    9. Sewraj, Deeya & Gebka, Bartosz & Anderson, Robert D.J., 2019. "Day-of-the-week effects in financial contagion," Finance Research Letters, Elsevier, vol. 28(C), pages 221-226.
    10. Jammazi, Rania & Reboredo, Juan C., 2016. "Dependence and risk management in oil and stock markets. A wavelet-copula analysis," Energy, Elsevier, vol. 107(C), pages 866-888.
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