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Ambit Processes, Their Volatility Determination and Their Applications

In: Modern Stochastics and Applications

Author

Listed:
  • José Manuel Corcuera

    (Gran Via Corts Catalanes 585)

  • Gergely Farkas

    (Gran Via Corts Catalanes 585)

  • Arturo Valdivia

    (Gran Via Corts Catalanes 585)

Abstract

In this chapter we try to review the research done so far about ambit processes and their applications. The notion of ambit process was introduced by Barndorff-Nielsen and Schmiegel in 2007. Since then, many papers have been written studying their properties and applying them to model different natural or economic phenomena. As it is shown in the paper, these processes share their mathematical structure with the solutions of random evolution equations allowing them great flexibility for modelling. The goal of this paper is fourfold: to show the main characteristics of these processes; how to determine their main structural component: their volatility; how they can be used for modelling different random phenomena like turbulence or financial prices; and last but not least the mathematics behind.

Suggested Citation

  • José Manuel Corcuera & Gergely Farkas & Arturo Valdivia, 2014. "Ambit Processes, Their Volatility Determination and Their Applications," Springer Optimization and Its Applications, in: Volodymyr Korolyuk & Nikolaos Limnios & Yuliya Mishura & Lyudmyla Sakhno & Georgiy Shevchenko (ed.), Modern Stochastics and Applications, edition 127, pages 245-265, Springer.
  • Handle: RePEc:spr:spochp:978-3-319-03512-3_14
    DOI: 10.1007/978-3-319-03512-3_14
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