Search

Modeling and management of nonlinear dependencies-copulas in dynamic financial analysis

<?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">MAP20090089082</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20091202165359.0</controlfield>
    <controlfield tag="008">091005e20090901usa|| 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">MAPA20080644529</subfield>
      <subfield code="a">Eling, Martin</subfield>
    </datafield>
    <datafield tag="245" ind1="0" ind2="0">
      <subfield code="a">Modeling and management of nonlinear dependencies-copulas in dynamic financial analysis</subfield>
      <subfield code="c">Martin Eling, Denis Toplek</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Dynamic financial analysis (DFA) is a financial modeling approach that projects financial results under a variety of possible scenarios, showing how outcomes might be affected by changing internal and external conditions. DFA has become an important tool for decision making and an essential part of enterprise risk management (ERM), particularly within the field of non-life insurance. In this context, the correct mapping of nonlinear dependencies is of central concern. In this article, the authors evaluate the influence of such extreme events  (the September 11, 2001 or the subprime credit crisis for example) on a nonlife insurer's risk and return profile. They integrate nonlinear dependencies in a DFA framework using the copulas concept and evaluate theirs effects on the insurer's risk and return distribution within a simulation study</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080632151</subfield>
      <subfield code="a">Técnicas estadísticas multivariantes</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20090035034</subfield>
      <subfield code="a">Modelización mediante cópulas</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080582418</subfield>
      <subfield code="a">Riesgo financiero</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080602437</subfield>
      <subfield code="a">Matemática del seguro</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080573935</subfield>
      <subfield code="a">Seguros no vida</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080536534</subfield>
      <subfield code="a">ERM</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20090041707</subfield>
      <subfield code="a">Toplek, Denis</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000727</subfield>
      <subfield code="t">The Journal of risk and insurance</subfield>
      <subfield code="d">Nueva York : The American Risk and Insurance Association, 1964-</subfield>
      <subfield code="x">0022-4367</subfield>
      <subfield code="g">01/09/2009 Tomo 76 Número 3  - 2009, p. 651-681</subfield>
    </datafield>
  </record>
</collection>