Guaranteed minimum income benefit valuation via a numéraire transformation 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">MAP20260013398</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20260603180819.0</controlfield>
<controlfield tag="008">260428e20260420bel|||p |0|||b|eng 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=" " ind2=" ">
<subfield code="0">MAPA20260008073</subfield>
<subfield code="a">Huang, Yiming</subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="0">
<subfield code="a">Guaranteed minimum income benefit valuation via a numéraire transformation approach</subfield>
<subfield code="c">Yiming Huang, Rogemar Mamon and Heng Xiong</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">The article develops an advanced actuarial framework for valuing guaranteed minimum income benefits (GMIB) in variable annuities, jointly incorporating financial risk, mortality risk, and interest rate risk. It introduces a change-of-numéraire technique that enables efficient analytical solutions compared with traditional Monte Carlo simulation methods. The model accounts for stochastic mortality correlated with interest rates and examines different benefit base designs. Numerical results show significant improvements in both accuracy and computational efficiency. The study provides relevant implications for pricing, risk management, and the design of life annuity insurance products</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080579258</subfield>
<subfield code="a">Cálculo actuarial</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080555306</subfield>
<subfield code="a">Mortalidad</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080578527</subfield>
<subfield code="a">Tipos de interés</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080557799</subfield>
<subfield code="a">Dependencia</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080591182</subfield>
<subfield code="a">Gerencia de riesgos</subfield>
</datafield>
<datafield tag="700" ind1="1" ind2=" ">
<subfield code="0">MAPA20080653484</subfield>
<subfield code="a">Mamon, Rogemar S.</subfield>
</datafield>
<datafield tag="700" ind1="1" ind2=" ">
<subfield code="0">MAPA20210032578</subfield>
<subfield code="a">Xiong, Heng</subfield>
</datafield>
<datafield tag="710" ind1="2" ind2=" ">
<subfield code="0">MAPA20100017661</subfield>
<subfield code="a">International Actuarial Association</subfield>
</datafield>
<datafield tag="773" ind1="0" ind2=" ">
<subfield code="w">MAP20077000420</subfield>
<subfield code="g">20/04/2026 Volumen 56 Número 2 - abril 2026 , 36 p.</subfield>
<subfield code="x">0515-0361</subfield>
<subfield code="t">Astin bulletin</subfield>
<subfield code="d">Belgium : ASTIN and AFIR Sections of the International Actuarial Association</subfield>
</datafield>
</record>
</collection>