Perancangan asuransi berbasis indeks enso berdasarkan hasil produksi di Jepang dengan metode principal component analysis = Index-based insurance design based on enso index and commodities production in Japan using principal component analysis

Tjia, Noviana (2020) Perancangan asuransi berbasis indeks enso berdasarkan hasil produksi di Jepang dengan metode principal component analysis = Index-based insurance design based on enso index and commodities production in Japan using principal component analysis. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Kontrak asuransi index-based merupakan sebuah alternatif dari kontrak asuransi indemnity-based yang memiliki kekurangan seperti risiko moral dan diperlukan biaya yang mahal untuk pengecekan. Namun, kontrak asuransi index-based juga mempunyai kelemahan, yaitu basis risk. Basis risk merupakan ketidaktepatan hubungan antara indeks dengan payoff. Ada kemungkinan petani mengalami kerugian, tetapi tidak mendapatkan uang pertanggungan atau ada kemungkinan petani tidak mengalami kerugian, tetapi mendapatkan uang pertanggungan. Kontrak asuransi index-based menggunakan indeks ENSO di Jepang sebagai tolak ukur untuk menghitung payoff dari 10 hasil produksi komoditas di Jepang, yaitu padi, susu sapi, bit, nes, telur ayam, kentang, daging ayam, kol, daging babi, dan tebu. Karena data dari indeks ENSO memiliki banyak variabel, digunakan metode Principal Component Analysis (PCA) untuk mereduksi dimensi tanpa menghilangkan informasi penting dari data tersebut. Dari 48 variabel indeks ENSO, terbentuk enam atau tujuh komponen utama yang merupakan kombinasi linier dari 48 variabel asli. Komponen utama digunakan untuk menentukan nilai payoff dari kontrak asuransi index-based. Hasil payoff dari kontrak asuransi index-based dibandingkan dengan payoff dari kontrak asuransi indemnity-based yang dihitung berdasarkan hasil produksi. Dengan mempertimbangkan basis risk, dapat disimpulkan hasil produksi apa yang menguntungkan perusahaan asuransi jika kontrak asuransi index-based digunakan. / Index-based insurance can be used as an alternative to replace indemnity-based insurance that has many disadvantages, such as moral hazard and expensive cost for assessments. Unfortunately, index-based insurance also has its own disadvantage, which is basis risk. Basis risk is a mismatch that happens when either farmers do not receive a benefit despite experiencing a loss on the farm or farmers receive a benefit despite no loss on the farm. Index-based insurance policy uses ENSO index as the benchmark for calculating the payoff of 10 commodities production in Japan, which are rice paddy, cow milk, beet, fresh nes, eggs, potatoes, chicken meat, cabbages, pig meat, and sugar cane. Since ENSO index has many variables, Principal Component Analysis method will be used to reduce dimension of the variables without removing important information from the data. From 48 variables of ENSO index, obtained either six or seven principal components that are the linear combination of the original 48 variables. These principal components are used to calculate the payoff of index-based insurance policy. The payoff of index-based insurance policy is compared to the payoff of indemnity-based insurance policy. By also measuring the effect of basis risk, it can be concluded which commodity production will benefit insurance company that uses index-based insurance policy.

Item Type: Thesis (Bachelor)
Creators:
CreatorsNIMEmail
Tjia, NovianaNIM00000020296novianatjia08@gmail.com
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorMargaretha, HelenaNIDN0312057504helena.margaretha@uph.edu
Thesis advisorSembiring, Ukur AriantoNIDN0311056901ukur.sembiring@uph.edu
Uncontrolled Keywords: kontrak asuransi index-based; basis risk; principal component analysis
Subjects: Q Science > QA Mathematics
Divisions: University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Mathematics
Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Mathematics
Depositing User: Users 5924 not found.
Date Deposited: 17 Jul 2020 02:48
Last Modified: 17 Jul 2020 02:48
URI: http://repository.uph.edu/id/eprint/9302

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