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A closed solution to the Fokker–Planck equation applied to forecasting

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  • Montagnon, Chris

Abstract

Closed solutions to the Fokker–Planck equation with linear and quadratic diffusion terms have been generated. These are applied to forecasting time series to generate a probability distribution for the next point, rather than a single point estimate as in autoregression. The parameters in these models are dynamically estimated from past data. The resulting solutions are compared to a conventional autoregressive approach with encouraging results.

Suggested Citation

  • Montagnon, Chris, 2015. "A closed solution to the Fokker–Planck equation applied to forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 14-22.
  • Handle: RePEc:eee:phsmap:v:420:y:2015:i:c:p:14-22
    DOI: 10.1016/j.physa.2014.10.079
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    References listed on IDEAS

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    1. Czechowski, Zbigniew & Telesca, Luciano, 2013. "Construction of a Langevin model from time series with a periodical correlation function: Application to wind speed data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5592-5603.
    2. Medino, Ary V. & Lopes, Sílvia R.C. & Morgado, Rafael & Dorea, Chang C.Y., 2012. "Generalized Langevin equation driven by Lévy processes: A probabilistic, numerical and time series based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 572-581.
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    Cited by:

    1. Polotto, Franciele & Drigo Filho, Elso & Chahine, Jorge & Oliveira, Ronaldo Junio de, 2018. "Supersymmetric quantum mechanics method for the Fokker–Planck equation with applications to protein folding dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 286-300.
    2. Habibi, Noora & Lashkarian, Elham & Dastranj, Elham & Hejazi, S. Reza, 2019. "Lie symmetry analysis, conservation laws and numerical approximations of time-fractional Fokker–Planck equations for special stochastic process in foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 750-766.

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