Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula

Hidayat, Agus Sofian Eka

doi:10.30812/varian.v3i1.485

Cited by 2 publications

(2 citation statements)

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“…In statistics, a dependency of multivariate variable can be seen by using Copula technique (Hidayat, 2019). Copula is one of the statistical methods used to determine the relationship of two or more variables, in which case the distribution can be normal or not.…”

Section: A Introductionmentioning

confidence: 99%

Impact of SST Anomalies on Coral Reefs Damage Based on Copula Analysis

Oktaviana

Fithriasari

2023

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The condition of coral reefs in Indonesia is alarming. One of the influenting factors of coral reefs damage is extreme climate change. The aim of this study is to determine the relationship of climate change, that is Sea Surface Temperature (SST) anomaly index, and coral reefs damage in West, Central and East Region of Indonesia. The method used in this study is Copula analysis. Copula is one of the statistical methods used to determine the relationship of two or more variables, in which case the distribution can be normal or not. First, data is transformed into Uniform [0,1] domain. Then, Copula parameter is estimated to get significance parameter. Lastly, the best Copula that has the highest log likelihood value is selected to represent the relationship of data. The result indicates that percentage of coral reefs damage in West and Central Region has relationship with SST Nino 4, while coral reefs damage in East Region does not have relationship with any of SST Nino anomalies. In West Region, the best Copula represents the relationship is Gaussian Copula (parameter = -0.32); it concludes that the higher the value of SST Nino 4, the lower the percentage of coral reefs damage and otherwise. While in Central Indonesia, Frank Copula (parameter = -4.89) is selected; it does not have tail dependency so that the SST Nino 4 and the percentage of coral reefs in damage condition in Central Region has low correlation.

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Section: A Introductionmentioning

confidence: 99%

Impact of SST Anomalies on Coral Reefs Damage Based on Copula Analysis

Oktaviana

Fithriasari

2023

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“…Yield-based agricultural insurance is seen as conventional agricultural insurance because it is based on losses suffered by the insured [5], [13]. The loss is obtained based on the probability of crop loss in the area under the density function curve when the yield is less than the maximum guaranteed yield [14].…”

Section: Introductionmentioning

confidence: 99%

The Covid-19 Pandemic Effect on the Determining Chilli Crop Agricultural Insurance Premium

Manjaruni

Purnaba

Budiarti

2022

BAREKENG: J. Math. & App.

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Parametric insurance is a type of insurance that contains an agreement related to triggering events between the insurer and the insured determined at the beginning of the contract. The provision that applies if the triggering event occurs is that the insurer (insurance company) is obliged to pay a sum of money (compensation) to the insured. Insurance based on area yield insurance is parametric insurance. Ozaki formulated an agricultural insurance model based on yields in an area called the parametric method. The loss of this method is a probability for crop loss that is in the area under the density function curve when the yield is smaller than the maximum guaranteed yield, but the losses calculated in this method only include losses due to crop failure and do not include losses due to the COVID-19 pandemic. Meanwhile, Susilowati and Gunawan, in their journals, explained that the production level of agricultural products, especially chili crops, during the COVID-19 pandemic, tended to be stable but not with the demand and purchasing power of the people, which significantly decreased. The significant decline in sales made farmers experience huge losses. Considering the COVID-19 pandemic impact, we were interested in formulating yield-based agricultural insurance models of chili crop that calculates the COVID-19 pandemic risk. So, the premiums rates and premiums obtained are more realistic and can reduce the risk of losses due to the COVID-19 pandemic for farmers, private companies, and the government.

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Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula

Cited by 2 publications

References 0 publications

Impact of SST Anomalies on Coral Reefs Damage Based on Copula Analysis

Impact of SST Anomalies on Coral Reefs Damage Based on Copula Analysis

The Covid-19 Pandemic Effect on the Determining Chilli Crop Agricultural Insurance Premium

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