MODEL DEPENDENSI HARGA-HARGA KOMODITAS EKSPOR UNGGULAN INDONESIA MENGGUNAKAN PENDEKATAN COPULA

Riri Sesiati - Universitas Bengkulu
Jose Rizal - Universitas Bengkulu
Yulian Fauzi - Universitas Bengkulu

Abstract


 

 

The export of non-oil and gas leading commodities (palm oil, rubber and cocoa) contributes the largest state revenue. Copula is used to model the dependency between two variables that have different marginal distributions. The data to be used is secondary data from the Commodity Futures Trading Supervisory Agency (BAPPEBTI) starting from January 1, 2018 - February 28, 2020 for the period before the Covid-19 pandemic and March 1, 2020 - November 26, 2021 for the period after the Covid-19 pandemic. The dependency of the two variables to be measured is the price of palm oil, rubber and cocoa before and after the start of the Covid-19 pandemic in Indonesia. The Copula that will be used are Joe, Gumbel, Frank, Gaussian, Clayton, and Student's t. The best Copula model obtained for palm oil and rubber dependencies is the Joe Copula, while palm oil and cocoa and cocoa rubber dependencies are the Clayton Copula.

 

 

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References


Alana, M.V. 2021. Komunikasi Bisnis dalam Menjaga Hubungan Baik di PT. Richtex Garmindo Selama Pandemi Covid-19. SKRIPSI. Universitas Katolik Soegiprajanata. Semarang.

Ariyanto, S. 2020. Asal Mula dan Penyebaran Virus Corona dari Wuhan ke Seluruh Dunia. https://bappeda.ntbprov.go.id/asal-mula-dan-penyebaran-virus-corona-dari-wuhan-ke-seluruh-dunia/. BAPPEDA NTB.

Badan Pusat Statistik (BPS). 2018. Ekspor dan Impor. https://bps.go.id/subject/8/ekspor-impor.html.

Badan Pengawas Perdagangan Berjangka Komoditi (BAPPEBTI). 2021. Buku Analisa Perkembangan Harga Komoditi.

https://bappebti.go.id/Bulletin_statistik_perdagangan_berjangka/download/bulletin_statistik_perdagangan_berjangka_1970_01_01_me10vzgy_id.pdf.

Benny, J. 2013. Ekspor dan Impor: Pengaruhnya Terhadap Posisi Cadangan Devisa di Indonesia. Jurnal EMBA. ISSN:2303-1174. Vol.1 No.4 Desember 2013. Hal 1406-1415.

Beasley, T., Erickson, S. 2009. Rank-Based Inverse Normal Transformations are Increasingly Used.

Chvosta, J. 2011. Modelling Financial Risk Factor Correlation with the Copula Procedure. Cary: SAS Institute Inc, NC.

Conover, W.J. 1971. Practical Nonparametric Statistics. New York: Printed in the United Stated of America.

Grasa, M. 1989. Econometric Model Selection: A New Approach. Kluwer. Springer Science and Business Media.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921808.

Rizal, J., Gunawan, A. Y., Indratno, S. W., & Meilano, I. (2021). The Application of Copula Continuous Extension Technique for Bivariate Discrete Data: A Case Study on Dependence Modeling of Seismicity Data. Mathematical Modelling of Engineering Problems, 8(5).

Nelsen, B. Roger. 1999. An Introduction to Copulas. New York: Springer-Verlag.

Nelsen, B. Roger. 2006. An Introduction to Copulas. Second Edition. Springer Series in Statistics. New York.

Qothrunnada, K. 2021. Komoditas Ekspor Unggulan Indonesia, Sawit hingga Batu Bara.https://cnnindonesia.com/ekonomi/20211223135555-97-737817/komoditas-ekspor-unggulan-indonesia-sawit-hingga-batu-bara.

Rahman, I. 2017. Analisis Daya Saing Komoditas Kopi Indonesia dan Faktor-Faktor yang Mempengaruhi Daya Saing Komoditas Kopi Indonesia Tahun 2001-2015. UII. https://dspace.uii.ac.id/handle/123456789/7216.

Yuda, W.A. 2022. Potensi Ekspor Cokelat Indonesia. https://ukmindonesia.id/baca-deskripsi-posts/potensi-ekspor-cokelat-indonesia/.




DOI: http://dx.doi.org/10.24036/unpjomath.v8i2.14860