An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand

Nattiya Chaiyapo, Nattakorn Phewchean

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

In this paper, we examine an application of Ornstein-Uhlenbeck process to commodity pricing in Thailand. Prices of Tapioca Starch, Ribbed Smoke Sheet no. 3, and Thai Hom Mali Rice are investigated. We use three parameter estimation methods: least squares estimation, maximum likelihood estimation, and jackknife estimation in order to find the best estimation for the model. Jackknife technique is the most appropriate estimation for our commodity pricing model, which provides the least sum-squared error of commodity prices.

Original languageEnglish
Article number179
JournalAdvances in Difference Equations
Volume2017
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Keywords

  • Ornstein-Uhlenbeck process
  • commodity pricing
  • parameter estimation
  • stochastic process

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