Herding behaviour in beta-based portfolios. (2nd April 2020)
- Record Type:
- Journal Article
- Title:
- Herding behaviour in beta-based portfolios. (2nd April 2020)
- Main Title:
- Herding behaviour in beta-based portfolios
- Authors:
- Devi, N. Chitra
Punniyamoorthy, M. - Abstract:
- Understanding the herding behaviour will be effective when investors have diversified portfolio but may not hold good if the portfolio consists of similar stocks (Ganesh et al., 2016). Considering the importance of studying the herding behaviour across the different portfolio, this research analyse the herding behaviour of the different set of portfolios such as high beta portfolio, medium beta portfolio and low beta portfolio formed on the basis of the magnitude of the beta values of capital asset pricing model. The presence of herding behaviour is analysed using the daily data of the companies listed in the Bombay Stock Exchange from April 2006 to March 2017. This paper illustrates that high beta portfolio exhibits no herding behaviour but medium and low beta portfolio shows significant herding behaviour. Consistent with the previous studies, the asymmetric response of herding behaviour also varies with the volatility of stocks.
- Is Part Of:
- International journal of management practice. Volume 13:Number 3(2020)
- Journal:
- International journal of management practice
- Issue:
- Volume 13:Number 3(2020)
- Issue Display:
- Volume 13, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 13
- Issue:
- 3
- Issue Sort Value:
- 2020-0013-0003-0000
- Page Start:
- 338
- Page End:
- 351
- Publication Date:
- 2020-04-02
- Subjects:
- herding behaviour -- beta-based portfolios -- asymmetric effects
Management -- Periodicals
658.005 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/browse/index.php?journalID=91 ↗ - Languages:
- English
- ISSNs:
- 1477-9064
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12828.xml