Pesquisa de referências

Risk-taking-neutral background risks

<?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">MAP20180020032</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20180828145558.0</controlfield>
    <controlfield tag="008">180702e20180601usa|||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">7</subfield>
    </datafield>
    <datafield tag="100" ind1=" " ind2=" ">
      <subfield code="0">MAPA20180009341</subfield>
      <subfield code="a">Franke, Guenter</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Risk-taking-neutral background risks</subfield>
      <subfield code="c">Guenter Franke, Harris Schlesinger, Richard C. Stapleton</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">This article examines how decision making under uncertainty is affected by the presence of a linearly dependent background risk, for individuals with HARA utility. A linearly dependent background risk is a background risk that increases linearly in the chosen tradable outcome. In order to do this, we construct a parametric class of background risks that we label as risk-taking-neutral (RTN). These background risks have the property that they will not alter the decision made with respect to the market risk. As such, these RTN background risks provide a benchmark. In many situations, a background risk that is faced by an investor can be compared to one from the RTN class in order to predict qualitative changes in the investor's choice decision. As this benchmark is easily available, it is convenient to use to predict these changes</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080591182</subfield>
      <subfield code="a">Gerencia de riesgos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080588434</subfield>
      <subfield code="a">Toma de decisiones</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080602871</subfield>
      <subfield code="a">Percepción del riesgo</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080582418</subfield>
      <subfield code="a">Riesgo financiero</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080602444</subfield>
      <subfield code="a">Matemática financiera</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080648664</subfield>
      <subfield code="a">Schlesinger, Harris</subfield>
    </datafield>
    <datafield tag="700" ind1=" " ind2=" ">
      <subfield code="0">MAPA20180009365</subfield>
      <subfield code="a">Stapleton, Richard C.</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">01/06/2018 Volumen 85 Número 2 - junio 2018 , p. 335-353</subfield>
    </datafield>
  </record>
</collection>