EconPapers    
Economics at your fingertips  
 

Analyzing Long-run Performance of Select Initial Public Offerings Using Monthly Returns: Evidence from India

Gautam Das, Malayendu Saha and Abhijit Kundu

Vision, 2016, vol. 20, issue 3, 237-248

Abstract: The anomalies in respect to initial public offering (IPO) performance in literature have stimulated multitude of research works in explaining critical issues, such as under-pricing during short-run and underperformance phenomena in the long run as is observed globally. This study endeavours to look into the long-run performance of select Indian IPOs using monthly returns following event study methodologies. Besides parametric tests, it has also applied wealth relative as a measure of performance of those IPOs. The article documents positive long-run average abnormal returns for Indian IPOs, unlike other countries. However, statistically we fail to reject the null hypothesis of zero abnormal return and therefore conclude existence of no significant long-run underperformance or over-performance in the Indian IPO stocks. In exploring the possible factors which may have bearing in determining the longrun performance of the IPOs, it is observed that book-to-market value (BMV) ratio, age of the IPO firm and aftermarket corporate measures, such as bonus issue and stock split, have significant predictive power in explaining the long-run performance.

Keywords: Underperformance; Market Efficiency; CAR; BHAR; Wealth Relatives (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0972262916652809 (text/html)

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:sae:vision:v:20:y:2016:i:3:p:237-248

DOI: 10.1177/0972262916652809

Access Statistics for this article

More articles in Vision
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-20
Handle: RePEc:sae:vision:v:20:y:2016:i:3:p:237-248