World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

Chapter 101: Indices Herding Behavior and Its Impact on Listed Real Estate and Two Other Asset Classes: A Case of Developed versus Emerging Markets

    https://doi.org/10.1142/9789811269943_0101Cited by:0 (Source: Crossref)
    Abstract:

    The literature on indices herding behavior among bonds, equities, and real estate is very scant. When one compares developed and emerging markets, specifically the United States, the United Kingdom, Taiwan, and South Africa, such studies are hard to find. This study uses principal component analysis to extract and illustrate parameters driving herding investment behavior for the indices of the mentioned countries. Thereafter, the vector autoregressive model is used for robustness tests. The results reveal the following: First, governmental relationships and similarities among countries influenced herding behavior in the selected capital markets indices. Second, most of the herding occurs in the bond indices for the four countries. Finally, the robustness results reveal spillover opportunities in between and across countries irrespective of the index analyzed. The results are generalizable as they are consistent with prior studies such as Zaremba et al. (2021).