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Rubber Price Effect on Exchange Rate: A Bayesian Mixture Model Approach

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  • Seuk Yen Phoong

Abstract

Mixture model is a probabilistic model that denotes the presence of subpopulations within an overall population meanwhile finite mixture model is a mixture model with finite-dimensional. In this paper, finite mixture model is applied and the application of Bayesian method to fit finite mixture model is popular and these application is adopt in the present study in order to explore the relationship between rubber price and exchange rate for Malaysia, Thailand, Philippines and Indonesia. Exchange rate plays leading role for a country because it represents the development for that country. The changes of exchange rate influence the flows of investment either the import or export prices for a nation’s. While another data set that adopt is rubber price. Rubber is an economic commodity that prospers in tropical climate. It is an important raw material because the latex that extracted is the primary source of natural rubber that enables to produce many useful products such as tires, surgical gloves, industrial hoses, rubber sheeting, industrial form parts and others household rubber products. Results found that rubber price effect on the change of exchange rate for Malaysia, Thailand, Philippines and Indonesia.

Suggested Citation

  • Seuk Yen Phoong, 2013. "Rubber Price Effect on Exchange Rate: A Bayesian Mixture Model Approach," Information Management and Business Review, AMH International, vol. 5(6), pages 263-269.
    • Handle: RePEc:rnd:arimbr:v:5:y:2013:i:6:p:263-269
    DOI: 10.22610/imbr.v5i6.1051
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    References listed on IDEAS

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    1. C. Armero & G. García‐Donato & A. López‐Quílez, 2010. "Bayesian methods in cost–effectiveness studies: objectivity, computation and other relevant aspects," Health Economics, John Wiley & Sons, Ltd., vol. 19(6), pages 629-643, June.
    2. Marco Cipriani & Riccardo Costantini & Antonio Guarino, 2012. "A Bayesian approach to experimental analysis: trading in a laboratory financial market," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 175-191, September.
    3. Liu, Lon-Mu & Tiao, George C., 1980. "Random coefficient first-order autoregressive models," Journal of Econometrics, Elsevier, vol. 13(3), pages 305-325, August.
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    1. Sirikul Tulasombat & Somchai Ratanakomut, 2015. "The Effect of Exchange Rates on Agricultural Goods for Export: A Case of Thailand," Information Management and Business Review, AMH International, vol. 7(1), pages 1-11.

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