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

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 estim...

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Main Authors: Nattiya Chaiyapo, Nattakorn Phewchean
Format: Article
Language:English
Published: SpringerOpen 2017-06-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-017-1234-y
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author Nattiya Chaiyapo
Nattakorn Phewchean
author_facet Nattiya Chaiyapo
Nattakorn Phewchean
author_sort Nattiya Chaiyapo
collection DOAJ
description 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.
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spelling doaj.art-356fec5a82aa4364bad1b593f5f55dce2022-12-21T18:38:21ZengSpringerOpenAdvances in Difference Equations1687-18472017-06-012017111010.1186/s13662-017-1234-yAn application of Ornstein-Uhlenbeck process to commodity pricing in ThailandNattiya Chaiyapo0Nattakorn Phewchean1Department of Mathematics, Faculty of Science, Mahidol UniversityDepartment of Mathematics, Faculty of Science, Mahidol UniversityAbstract 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.http://link.springer.com/article/10.1186/s13662-017-1234-yOrnstein-Uhlenbeck processstochastic processparameter estimationcommodity pricing
spellingShingle Nattiya Chaiyapo
Nattakorn Phewchean
An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
Advances in Difference Equations
Ornstein-Uhlenbeck process
stochastic process
parameter estimation
commodity pricing
title An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
title_full An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
title_fullStr An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
title_full_unstemmed An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
title_short An application of Ornstein-Uhlenbeck process to commodity pricing in Thailand
title_sort application of ornstein uhlenbeck process to commodity pricing in thailand
topic Ornstein-Uhlenbeck process
stochastic process
parameter estimation
commodity pricing
url http://link.springer.com/article/10.1186/s13662-017-1234-y
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