Full Description
| Cataloguing Source | LibUI ind rda |
| Content Type | text (rdacontent) |
| Media Type | computer (rdamedia) |
| Carrier Type | online resource (rdacarrier) |
| Physical Description | xii, 83 pages : illustration ; 28 cm + appendix |
| Concise Text | |
| Holding Institution | Universitas Indonesia |
| Location | Perpustakaan UI, Lantai 3 |
- Availability
- Digital Files: 1
- Review
- Cover
- Abstract
| Call Number | Barcode Number | Availability |
|---|---|---|
| T-Pdf | 15-18-608252892 | TERSEDIA |
| No review available for this collection: 20434116 |
Abstract
Penelitian ini membahas pengukuran risiko operasional kerugian klaim asuransi kebakaran di Indonesia. Data untuk analisis diperoleh dari Badan Pengelola Pusat Data Asuransi Nasional (BPPDAN) periode 2009-2014. Hasil penelitian menunjukkan bahwa distribusi frekuensi kerugian klaim asuransi kebakaran mengikuti pola distribusi Poisson dengan perhitungan uji statistik Kolmogorov Smirnov pada tingkat keyakinan 95%, sedangkan distribusi severity menunjukkan pola distribusi Lognormal dengan uji statistik Kolmogorov Smirnov. Pengukuran Value at Risk (VaR) risiko operasional di dalam tesis ini dihitung menggunakan pendekatan metode Loss Distribution Approach ? Aggregation Model dan simulasi Monte Carlo. Hasil pengukuran pada tingkat keyakinan 95% adalah sebesar 2.448.278.550 dan pengujian validitas atau back testing menggunakan Kupiec test dengan jumlah dua kesalahan dan model dapat diterima.
This applied research is intended to measure the Operational Value at Risk (VaR) for claim Property Insurance using data from statistical cession (BPPDAN) for the year 2009 - 2014. It was shown that the frequency distribution followed the Poisson distribution based on Kolmogorov Smirnov statistical test with 95% confidence level. While the severity distribution followed the Lognormal distribution based on Kolmogorov Smirnov statistical test. This Operational VaR is measured by the Loss Distribution Approach ? Aggregation (LDA Aggregation) Model and Monte Carlo simulation. Using 95% confidence level, the Value at Risk is Rp 2.448.278.550. The model is back tested using Kupiec test and the result shows there are two violations but the model is accepted.
This applied research is intended to measure the Operational Value at Risk (VaR) for claim Property Insurance using data from statistical cession (BPPDAN) for the year 2009 - 2014. It was shown that the frequency distribution followed the Poisson distribution based on Kolmogorov Smirnov statistical test with 95% confidence level. While the severity distribution followed the Lognormal distribution based on Kolmogorov Smirnov statistical test. This Operational VaR is measured by the Loss Distribution Approach ? Aggregation (LDA Aggregation) Model and Monte Carlo simulation. Using 95% confidence level, the Value at Risk is Rp 2.448.278.550. The model is back tested using Kupiec test and the result shows there are two violations but the model is accepted.