Abstract
The purpose of this paper is to investigate the effects from natural rubber supply in seven ASEAN countries (i.e. Cambodia, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam) over the period of 2006–2017 collected by CEIC data. Methodologically, data classifications were processed by entropy analyses, and the structural dependent estimation is provided by copula models. The empirical results of econometric analyses represent countries which are a market leader and market followers. Additionally, the results would be useful for policies development regarding to the natural rubber productions, developments, and promotions.
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References
Bartiromo, R.: Maximum entropy distribution of stock price fluctuations. Stat. Financ. Cornell Univ. 4, 1106–1134 (2013)
Bollerslev, T.: Generalized autoregressive conditional heteroskedasticity. J. Econ. 31, 307–327 (1986)
Brechmann, E., Schepsmeier, U.: Modeling dependence with C- and D-Vine copulas: the R package CDVine. J. Stat. Softw. 52(3), 1–27 (2013)
Chaitip, P., Chaiboonsri, C.: AEC’s demand for ICT: maximum entropy bootstrap approach in panel data. Procedia Econ. Financ. 5, 125–132 (2013)
Chaiboonsri, C., Chaitip, P.: A boundary analysis of ICT firms on Thailand stock market: a maximum entropy bootstrap approach and Highest Density Regions (HDR) approach. Int. J. Comput. Econ. Econ. 3, 14–26 (2013)
Ferenstein, E., Gasowski, M.: Modelling stock returns with AR-GARCH processes. SORT 28, 55–68 (2004)
Gruber, F., Czado, C.: Bayesian model selection of regular vine copulas. Springer (2015)
Kullback, S., Leibler, R.A.: On information and sufficiency. Ann. Math. Stat. 22, 79–86 (1951)
O’Neil, P.K., Erill, I.: Parametric bootstrapping for biological sequence motifs BMC. Bioinformatics 17, 406 (2016)
Shore, J., Johnson, R.W.: Axiomatic Derivation of the principle of maximum entropy and the principle of minimum cross-entropy. IEEE Trans. Inf. Theory 26(1), 26–37 (1980)
Sklar, A.: Fonctions de répartition à n dimensions et leurs marges. Publi- cations de l’Institut de Statistique de l’Universit ́e de Paris 8, 229–231 (1959)
Sriboonchitta, S., Chaiboonsri, C.: The dynamic co-movement Toward among capital markets in ASEAN exchanges: C-D Vine copula approach. Procedia Econ. Financ. 5, 696–702 (2013). International Conference on Applied Economics
Vinod, H., Lopez-de-Lacalle, J.: Maximum entropy bootstrap for time series: the meboot R package. J. Stat. Softw. 29, 1–19 (2009)
Vinod, H.D.: Maximum entropy bootstrap simulations for variance estimation (2013). Available at SSRN https://ssrn.com/abstract=2295723 or http://dx.doi.org/10.2139/ssrn.2295723
Zhou, R.X., Wang, X.G., Dong, X.F., Zong, Z.: Portfolio selection model with the measures of information entropy-incremental entropy-skewness. Adv. Inf. Sci. Serv. Sci. 5, 853–864 (2013)
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Somboon, K., Chaiboonsri, C., Wannapan, S., Sriboonchitta, S. (2019). Investigating Structural Dependence in Natural Rubber Supplys Based on Entropy Analyses and Copulas. In: Kreinovich, V., Sriboonchitta, S. (eds) Structural Changes and their Econometric Modeling. TES 2019. Studies in Computational Intelligence, vol 808. Springer, Cham. https://doi.org/10.1007/978-3-030-04263-9_50
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DOI: https://doi.org/10.1007/978-3-030-04263-9_50
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