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Forecasting Temperature Indices Density with Time‐Varying Long‐Memory Models

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  • Massimiliano Caporin
  • Juliusz Preś

Abstract

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Suggested Citation

  • Massimiliano Caporin & Juliusz Preś, 2013. "Forecasting Temperature Indices Density with Time‐Varying Long‐Memory Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 339-352, July.
  • Handle: RePEc:wly:jforec:v:32:y:2013:i:4:p:339-352
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    Cited by:

    1. Luisa Bisaglia & Matteo Grigoletto, 2018. "A new time-varying model for forecasting long-memory series," Papers 1812.07295, arXiv.org.
    2. Massimiliano Caporin & Angelo Ranaldo & Gabriel G. Velo, 2015. "Precious metals under the microscope: a high-frequency analysis," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 743-759, May.
    3. Luisa Bisaglia & Matteo Grigoletto, 2021. "A new time-varying model for forecasting long-memory series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 139-155, March.
    4. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    5. Caporin, Massimiliano & Fontini, Fulvio, 2014. "The Value of Protecting Venice from the Acqua Alta Phenomenon under Different Local Sea Level Rises," MPRA Paper 53779, University Library of Munich, Germany.
    6. Cui, Hairong & Zhou, Ying & Dzandu, Michael D. & Tang, Yinshan & Lu, Xunfa, 2019. "Is temperature-index derivative suitable for China?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    7. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2013. "Stylized Facts and Dynamic Modeling of High-frequency Data on Precious Metals," Working Papers on Finance 1318, University of St. Gallen, School of Finance.
    8. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2016. "Analyzing South Africa’s inflation persistence using an ARFIMA model with Markov-switching fractional differencing parameter," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(1), pages 47-57, January-M.

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