Pesquisa de referências

Six risks that could threaten credit in 2026

<?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>00000cam a22000004  4500</leader>
    <controlfield tag="001">MAP20260002224</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20260208211857.0</controlfield>
    <controlfield tag="008">260203s2026    usa||||       ||| ||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">921</subfield>
    </datafield>
    <datafield tag="110" ind1="2" ind2=" ">
      <subfield code="0">MAPA20220006231</subfield>
      <subfield code="a">Moody's Analytics</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Six risks that could threaten credit in 2026</subfield>
      <subfield code="c">Moody's Rating</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">New York</subfield>
      <subfield code="b">Moody´s Analitycs</subfield>
      <subfield code="c">2026</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">10 p.</subfield>
    </datafield>
    <datafield tag="505" ind1="0" ind2=" ">
      <subfield code="a">Summary -- Geopolitical fractures -- Inflation fears reignite -- Ai equity price correction -- Ai productivity gains drive job losses -- Stress in private credit generates contagion -- Spike in sovereign yields strains fiscal positions and slows economic activity</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">This report examines six scenarios that could significantly disrupt the credit landscape this year</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080566296</subfield>
      <subfield code="a">Macroeconomía</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20150011473</subfield>
      <subfield code="a">Riesgos geopolíticos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080551346</subfield>
      <subfield code="a">Inflación</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080611200</subfield>
      <subfield code="a">Inteligencia artificial</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080619008</subfield>
      <subfield code="a">Calificaciones crediticias</subfield>
    </datafield>
    <datafield tag="856" ind1=" " ind2=" ">
      <subfield code="u">https://www.moodys.com/web/en/us/insights/credit-risk/outlooks/credit-risks-2026.html</subfield>
    </datafield>
  </record>
</collection>