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Das Potenzial von Bankkreditspreads für die Konjunkturprognose

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  • Streitz, Daniel

Abstract

Prognosemodelle für die zukünftige wirtschaftliche Entwicklung verwenden häufig marktbasierte Indikatoren wie Spreads von Unternehmensanleihen, die den Risikoaufschlag gegenüber einem Referenzzins angeben. Anleihespreads bilden jedoch nur die Entwicklung von Risiken für Unternehmen ab, die regelmäßig Anleihen emittieren - im Durchschnitt größere, sichere Firmen. Neuartige Daten zu Bankkrediten, die im Sekundärmarkt gehandelt werden, erlauben auch die Konstruktion von Kreditspreads. Kreditmarktdaten umfassen ein breiteres Spektrum an Firmen, inklusive kleinerer Firmen, die stärker von Finanzmarktfriktionen betroffen sind. Tests zeigen, dass Kreditspreads tatsächlich mehr Informationen über wirtschaftliche Entwicklungen beinhalten als Anleihespreads und daher das Potenzial haben, Prognosemodelle zu verbessern.

Suggested Citation

  • Streitz, Daniel, 2022. "Das Potenzial von Bankkreditspreads für die Konjunkturprognose," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 28(2), pages 27-31.
  • Handle: RePEc:zbw:iwhwiw:260609
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    Keywords

    Bankkreditspreads; Konjunkturprognose; sekundäre Kreditmärkte;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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