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Single Earthquake Bond Pricing Framework with Double Trigger Parameters Based on Multi Regional Seismic Information
by
Anggraeni, Wulan
, Sukono
, Halim, Nurfadhlina Abdul
, Supian, Sudradjat
in
Algorithms
/ Analysis
/ Capital markets
/ catastrophe bond
/ Clustering
/ copula
/ Disasters
/ earthquake
/ Earthquake damage
/ Earthquakes
/ Economic aspects
/ Forecasts and trends
/ Indonesia
/ Interest rates
/ k-means
/ k-medoids
/ Methods
/ Parameter estimation
/ Parameters
/ Prediction theory
/ Prices
/ Random variables
/ Risk
/ Tsunamis
2023
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Single Earthquake Bond Pricing Framework with Double Trigger Parameters Based on Multi Regional Seismic Information
by
Anggraeni, Wulan
, Sukono
, Halim, Nurfadhlina Abdul
, Supian, Sudradjat
in
Algorithms
/ Analysis
/ Capital markets
/ catastrophe bond
/ Clustering
/ copula
/ Disasters
/ earthquake
/ Earthquake damage
/ Earthquakes
/ Economic aspects
/ Forecasts and trends
/ Indonesia
/ Interest rates
/ k-means
/ k-medoids
/ Methods
/ Parameter estimation
/ Parameters
/ Prediction theory
/ Prices
/ Random variables
/ Risk
/ Tsunamis
2023
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Do you wish to request the book?
Single Earthquake Bond Pricing Framework with Double Trigger Parameters Based on Multi Regional Seismic Information
by
Anggraeni, Wulan
, Sukono
, Halim, Nurfadhlina Abdul
, Supian, Sudradjat
in
Algorithms
/ Analysis
/ Capital markets
/ catastrophe bond
/ Clustering
/ copula
/ Disasters
/ earthquake
/ Earthquake damage
/ Earthquakes
/ Economic aspects
/ Forecasts and trends
/ Indonesia
/ Interest rates
/ k-means
/ k-medoids
/ Methods
/ Parameter estimation
/ Parameters
/ Prediction theory
/ Prices
/ Random variables
/ Risk
/ Tsunamis
2023
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Single Earthquake Bond Pricing Framework with Double Trigger Parameters Based on Multi Regional Seismic Information
Journal Article
Single Earthquake Bond Pricing Framework with Double Trigger Parameters Based on Multi Regional Seismic Information
2023
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Overview
The investor interest in multi-regional earthquake bonds may drop because high-risk locations are less appealing to investors than low-risk ones. Furthermore, a single parameter (earthquake magnitude) cannot accurately express the severity due to an earthquake. Therefore, the aim of this research is to propose valuing a framework for single earthquake bonds (SEB) using a double parameter trigger type, namely magnitude and depth of earthquakes, based on zone division according to seismic information. The zone division stage is divided into two stages. The first stage is to divide the covered area based on regional administrative boundaries and clustering based on the earthquake disaster risk index (EDRI), and the second stage involves clustering based on magnitude and depth of earthquakes and distance between earthquake events using the K-Means and K-Medoids algorithms. The distribution of double parameter triggers is modeled using the Archimedean copula. The result obtained is that the price of SEB based on the clustering result of EDRI categories and K-Means is higher than the price obtained by clustering EDRI categories and K-Medoids with maturities of less than 5 years. The result of this research is expected to assist the Special Purpose Vehicle in determining the price of SEB.
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