Boom-bust cycles and herding behaviour in the Tunisian stock market

Haifa Hammami and Younes Boujelbene

International Journal of Data Science, 2016, vol. 1, issue 3, 259-275

Abstract: In this paper, we investigate herding behaviour in the Tunisian stock market. Moreover, we intend to analyse whether the herding behaviour and the economic and financial fundamentals increase the occurrence probability of stock market booms and busts. On the one hand, our results indicate that herding behaviour is more pronounced during periods of stock market boom and bust. On the other hand, our findings suggest that herding behaviour contributes to an increase in the occurrence probability of stock market booms. Furthermore, the economic and financial fundamentals play a key role in the emergence of Tunisian stock market boom-bust cycles.

Keywords: stock markets; boom and bust; boom-bust cycles; herding behaviour; economic fundamentals; financial fundamentals; ordered logit model; Tunisia; stock market booms; stock market busts; occurrence probability. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=75935 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsci:v:1:y:2016:i:3:p:259-275

Access Statistics for this article

More articles in International Journal of Data Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().