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The Optimal write-down coefficients in a percentage for a catastrophe bond

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<title>Optimal write-down coefficients in a percentage for a catastrophe bond</title>
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<name type="personal" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20150010858">
<namePart>Chi-Liang Tsai, Cary</namePart>
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<dateIssued encoding="marc">2018</dateIssued>
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<abstract displayLabel="Summary">Catastrophe bonds, also known as CAT bonds, are insurance-linked securities that help to transfer catastrophe risks from insurance industry to bond holders. When the aggregate catastrophe loss exceeds a specified amount by the maturity, the CAT bond is triggered and the future bond payments are reduced. This article first presents a general pricing formula for a CAT bond with coupon payments, which can be adapted to various assumptions for a catastrophe loss process. Next, it gives formulas for the optimal write-down coefficients in a percentage, implemented by Monte Carlo simulations, which maximize two measurements of risk reduction, hedge effectiveness rate (HER) and hedge effectiveness (HE), respectively, and examines how the optimal write-down coefficients in a percentage help reinsurance or insurance companies to mitigate extreme catastrophe losses. Last, it demonstrates how the number of coupon payments, loss share, retention level, strike price, maturity, frequency, and severity parameters of the catastrophe loss process and different interest rate models affect the optimal write-down coefficients in a percentage with numerical examples for illustrations</abstract>
<note type="statement of responsibility">Xiaoli Zhang, Cary Chi-Liang Tsai</note>
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<topic>Bonos</topic>
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<topic>Matemática del seguro</topic>
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<topic>Impacto económico</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080600204">
<topic>Catástrofes naturales</topic>
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<topic>Simulación Monte Carlo</topic>
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<topic>Modelo estocástico</topic>
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<title>North American actuarial journal</title>
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<publisher>Schaumburg : Society of Actuaries, 1997-</publisher>
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<identifier type="issn">1092-0277</identifier>
<identifier type="local">MAP20077000239</identifier>
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<text>05/03/2018 Tomo 22 Número 1 - 2018 , p. 1-21</text>
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