Arbeitspapier

Know your customer: Informed trading by banks

This study analyzes information production and trading behavior of banks with lending relationships. We combine trade-by-trade supervisory data and credit-registry data to examine banks' proprietary trading in borrower stocks around a large number of corporate events. We find that relationship banks build up positive (negative) trading positions in the two weeks before events with positive (negative) news, even when these events are unscheduled, and unwind positions shortly after the event. This trading pattern is more pronounced in situations when banks are likely to possess private information about their borrowers, and cannot be explained by specialized expertise in certain industries or certain firms. The results suggest that banks' lending relationships inform their trading and underscore the potential for conflicts of interest in universal banking, which have been a prominent concern in the regulatory debate for a long time. Our analysis illustrates how combining large data sets can uncover unusual trading patterns and enhance the supervision of financial institutions.

Sprache
Englisch

Erschienen in
Series: CFS Working Paper Series ; No. 705

Klassifikation
Wirtschaft
Thema
Universal banks
bank regulation
big data
proprietary trading
Volcker Rule
insider trading
market supervision

Ereignis
Geistige Schöpfung
(wer)
Haselmann, Rainer
Leuz, Christian
Schreiber, Sebastian
Ereignis
Veröffentlichung
(wer)
Goethe University Frankfurt, Center for Financial Studies (CFS)
(wo)
Frankfurt a. M.
(wann)
2022

DOI
doi:10.2139/ssrn.4365175
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Haselmann, Rainer
  • Leuz, Christian
  • Schreiber, Sebastian
  • Goethe University Frankfurt, Center for Financial Studies (CFS)

Entstanden

  • 2022

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