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Determinants of Mortgage Loan Fraud: Empirical Evidence from Germany

Author

Listed:
  • Gregor Dorfleitner

    (Lehrstuhl für Finanzierung an der Universität Regensburg)

  • Hilger Jahnes

    (Unternehmensberatung Jahnes GmbH)

Abstract

Zusammenfassung Dieser Beitrag beschäftigt sich mit den aktuellen erscheinungsformen des Kreditbetrugs bei hypothekendarlehen. auf Basis von antragsdaten zu 170.789 realen hypothekenkrediten, in denen eine beachtliche anzahl von nachgewiesenen Betrugsfällen enthalten ist, identifizieren wir determinierende Faktoren für Betrug. mit hilfe logistischer regression werden die einzelnen Determinanten zu einem Betrugsidentifikationsmodell aggregiert. unter einbezug der relevanten ertrags-und Kostentreiber wird abschließend ein Betrugs-management-system entwickelt.

Suggested Citation

  • Gregor Dorfleitner & Hilger Jahnes, 2014. "Determinants of Mortgage Loan Fraud: Empirical Evidence from Germany," Schmalenbach Journal of Business Research, Springer, vol. 66(4), pages 351-382, June.
    • Handle: RePEc:spr:sjobre:v:66:y:2014:i:4:d:10.1007_bf03373721
    DOI: 10.1007/BF03373721
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    References listed on IDEAS

    as
    1. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
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    More about this item

    Keywords

    D14; g21; K14;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law

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