Pricing Hurricane Bonds Using a Physically Based Option Pricing Approach
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
<record>
<leader>00000cab a2200000 4500</leader>
<controlfield tag="001">MAP20220008501</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20220315114620.0</controlfield>
<controlfield tag="008">220315e20220307esp|||p |0|||b|spa d</controlfield>
<datafield tag="040" ind1=" " ind2=" ">
<subfield code="a">MAP</subfield>
<subfield code="b">spa</subfield>
<subfield code="d">MAP</subfield>
</datafield>
<datafield tag="084" ind1=" " ind2=" ">
<subfield code="a">6</subfield>
</datafield>
<datafield tag="100" ind1="1" ind2=" ">
<subfield code="0">MAPA20120018082</subfield>
<subfield code="a">Chang, Carolyn W.</subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="0">
<subfield code="a">Pricing Hurricane Bonds Using a Physically Based Option Pricing Approach</subfield>
<subfield code="c">Carolyn W. Chang, Jack S. K. Chang, Min-Teh Yu</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">Hurricane bonds are unique in that they are structured with a dual exercise condition: a physically based condition that the underlying hurricane makes landfall at a prespecified location, and a standard moneyness condition that they end in the money. As the time of landfall is uncertain, their maturities are also uniquely random. This research thus proposes a modeling methodology to solve this option-pricing problemthat is, to price hurricane bonds at the nexus of atmospheric science and finance by integrating hurricane risk modeling and option pricing modeling. We resolve this dual exercise/random maturity issue by implementing a coupled hurricane generator to simulate hurricane synthetic tracks, intensity, radius, two-dimensional wind fields, and hurricane-index value evolution along the tracks. We price the increasingly popular parametric and parametric-index hurricane bonds by Monte Carlo simulations, as the underlying hurricane indices are untraded and thus replication pricing is not viable.
</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080551254</subfield>
<subfield code="a">Huracanes</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20210022784</subfield>
<subfield code="a">Fijación</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080545062</subfield>
<subfield code="a">Precios</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080579258</subfield>
<subfield code="a">Cálculo actuarial</subfield>
</datafield>
<datafield tag="700" ind1="1" ind2=" ">
<subfield code="0">MAPA20220002714</subfield>
<subfield code="a">Chang, Jack S. K.</subfield>
</datafield>
<datafield tag="700" ind1="1" ind2=" ">
<subfield code="0">MAPA20180012969</subfield>
<subfield code="a">Yu, Min-Teh</subfield>
</datafield>
<datafield tag="773" ind1="0" ind2=" ">
<subfield code="w">MAP20077000239</subfield>
<subfield code="g">07/03/2022 Tomo 26 Número 1 - 2022 , p. 27-42</subfield>
<subfield code="x">1092-0277</subfield>
<subfield code="t">North American actuarial journal</subfield>
<subfield code="d">Schaumburg : Society of Actuaries, 1997-</subfield>
</datafield>
</record>
</collection>