IAD Index of Academic Documents
  • Home Page
  • About
    • About Izmir Academy Association
    • About IAD Index
    • IAD Team
    • IAD Logos and Links
    • Policies
    • Contact
  • Submit A Journal
  • Submit A Conference
  • Submit Paper/Book
    • Submit a Preprint
    • Submit a Book
  • Contact
  • Industrial Policy
  • Volume:1 Issue:2
  • Foreign Investment and Evidence of Market-Wide Herding in the Turkish Capital Markets

Foreign Investment and Evidence of Market-Wide Herding in the Turkish Capital Markets

Authors : Seyid MAHMUD, Murat TİNİÇ
Pages : 69-75
View : 36 | Download : 15
Publication Date : 2022-01-31
Article Type : Research Paper
Abstract :This study examines market-wide herding in Borsa Istanbul insert ignore into journalissuearticles values(BIST); during 2005-2014 using a state-space model employing cross-section standard deviations of systematic risk insert ignore into journalissuearticles values(Beta);. It has been found that sentimental herding towards the market in BIST-100 is statistically significant. More importantly the results reveal that increase in Foreign Investment Flows into the Turkish Capital Market also cause increase in market-wide herding, which may not only lead to mispricing of stock prices but may also contribute to inefficiencies in the market. Herding trends over the sample period indicate that the financial crises, Lehman Brothers of 2008-09 and Euro Debt Crisis of 2011-2012 appeared to reduce sentimental herding in Borsa Istanbul. During the crisis period investors do seem to revert back to market fundamentals.
Keywords : Beta herding, Market fundamentals, BIST 100, Cross section volatility

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.


Index of Academic Documents
İzmir Academy Association
CopyRight © 2023-2026