Název: Financial Crime and Punishment: A Meta-Analysis
Autoři: de Batz, L. ; Kočenda, Evžen
Typ dokumentu: Výzkumné zprávy
Rok: 2020
Jazyk: eng
Edice: IES Working Paper Series, svazek: 2020/40
Abstrakt: We examine how the publication of intentional financial crimes committed by listed firms is interpreted by financial markets, using a systematic and quantitative review of existing empirical studies. Specifically, we conduct a meta-regression analysis and investigate the extent and nature of the impact that the publication of financial misconducts exerts on stock returns. We survey 111 studies, published between 1978 and 2020, with a total of 439 estimates from event studies. Our key finding is that the average abnormal returns calculated from this empirical literature are affected by a negative publication selection bias. Still, after controlling for this bias, our meta-analysis indicates that publications of financial crimes are followed by statistically significant negative abnormal returns, which suggests the existence of an informational effect. Finally, the MRA results demonstrate that crimes committed in common law countries, alleged crimes, and accounting crimes carry particularly weighty information for market participants. The results call for more transparency on side of enforcers along enforcement procedures, to foster timely and proportionate market reactions and support efficient markets.
Klíčová slova: Event study; Financial Markets; Financial Misconduct; Fraud; Information and Market Efficiency; Listed Companies; Meta-Analysis; Returns
Číslo projektu: GA20-17044S (CEP)
Poskytovatel projektu: GA ČR

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: http://library.utia.cas.cz/separaty/2020/E/kocenda-0533386.pdf
Původní záznam: http://hdl.handle.net/11104/0311791

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-432273


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav teorie informace a automatizace
Zprávy > Výzkumné zprávy
 Záznam vytvořen dne 2020-12-03, naposledy upraven 2021-03-28.


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