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Financial Time Series: Methods and Models

Author

Listed:
  • Massimiliano Caporin

    (Dipartimento di Scienze Statistiche, Università di Padova, 35121 Padova, Italy)

  • Giuseppe Storti

    (Dipartimento di Scienze Economiche e Statistiche, Università di Salerno, 84084 Fisciano (SA), Italy)

Abstract

The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of Risk and Financial Management on “Financial Time Series: Methods & Models” contributes to the evolution of research on the analysis of financial time series by presenting a diversified collection of scientific contributions exploring different lines of research within this field.

Suggested Citation

  • Massimiliano Caporin & Giuseppe Storti, 2020. "Financial Time Series: Methods and Models," JRFM, MDPI, vol. 13(5), pages 1-3, April.
    • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:5:p:86-:d:351267
    as

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    References listed on IDEAS

    as
    1. Maria-Eleni K. Agoraki & Dimitris A. Georgoutsos & Georgios P. Kouretas, 2019. "Capital Markets Integration and Cointegration: Testing for the Correct Specification of Stock Market Indices," JRFM, MDPI, vol. 12(4), pages 1-20, December.
    2. Pietro Coretto & Michele La Rocca & Giuseppe Storti, 2020. "Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters," JRFM, MDPI, vol. 13(4), pages 1-23, March.
    3. Massimiliano Caporin & Riccardo (Jack) Lucchetti & Giulio Palomba, 2020. "Analytical Gradients of Dynamic Conditional Correlation Models," JRFM, MDPI, vol. 13(3), pages 1-21, March.
    4. Davide De Gaetano, 2018. "Forecast Combinations for Structural Breaks in Volatility: Evidence from BRICS Countries," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    5. Nathaniel Gbenro & Richard Kouamé Moussa, 2019. "Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM," Post-Print hal-02059799, HAL.
    6. Nianyong Wang & Muhammad Haroon Shah & Kishwar Ali & Shah Abbas & Sami Ullah, 2019. "Financial Structure, Misery Index, and Economic Growth: Time Series Empirics from Pakistan," JRFM, MDPI, vol. 12(2), pages 1-15, June.
    7. Nathaniel Gbenro & Richard Kouamé Moussa, 2019. "Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM," JRFM, MDPI, vol. 12(1), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

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