Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Institutional Ownership and Stock Price Crash Risk

Institutional Ownership and Stock Price Crash Risk

Anonymous

Paperback

Business General

ISBN10: 3389050434
ISBN13: 9783389050439
Publisher: Grin Verlag
Published: May 20 2024
Pages: 52
Weight: 0.18
Height: 0.12 Width: 5.83 Depth: 8.27
Language: English
Master's Thesis from the year 2024 in the subject Business economics - Investment and Finance, grade: 1,7, University of Hamburg, language: English, abstract: This study uses OLS regressions to analyze the impact of institutional ownership (IO) investment horizons on stock price synchronicity and crash risk for a sample of U.S. companies. Two main hypotheses are tested: (1) long-term (short-term) IO (LTIO) (STIO) are negatively (positively) related to stock price synchronicity, and (2) long-term (short-term) IO are negatively (positively) related stock price crash risk. Stock price synchronicity (SYNCH) measures how much firm-specific returns align with overall market returns, while crash risk (NCSKEW, DUVOL, COUNT) indicates the likelihood of a sudden, significant price drop. The theory posits that short-term investors, more prone to sell shares, provide weaker oversight, giving managers more freedom to influence cash flows and increasing synchronicity. In contrast, long-term investors establish stronger management relationships, reducing synchronicity through enhanced oversight. The findings reveal that both long-term and short-term IO positively impact synchronicity, contradicting the hypothesis for long-term IO. This aligns with literature suggesting institutional investors use superior information mainly for trading rather than management engagement. For crash risk, results support the agency theory: long-term IO is associated with reduced crash risk due to better monitoring, while short-term IO correlates with higher crash risk due to frequent trading and weaker oversight. These findings align with prior research, indicating that bad news is disclosed under long-term monitoring, causing abrupt price drops. During the 2008 financial crisis, average crash risk was significantly higher, especially for financial firms. The interaction between IO horizons and the crisis suggests complex dynamics needing further study, particularly the negative interaction of

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