What determines the survival of internet IPOs?

Tjalling van der Goot, Noud Giersbergen () and Michiel Botman

Applied Economics, 2009, vol. 41, issue 5, 547-561

Abstract: This article examines whether the variables that are significant in noninternet initial public offering (IPOs) play a similar role for internet IPOs. To this end, we analyse the determinants of survival of internet firms that have gone public at the NASDAQ stock exchange from December 1996 through February 2001. Financial and nonfinancial data published in the IPO prospectuses are examined. For our analysis, we use the semiparametric Cox proportional hazard model and estimate the effect of these variables on the trading (survival) time using the parametric Log-logistic survival model. It appears that the average operating history of internet IPOs is remarkably small compared to noninternet IPOs, namely 2.4 and 10 years, respectively. Furthermore, we find that the average number of risk factors for internet IPOs is four times higher than the number reported for noninternet IPOs. The results of the parametric analysis correspond to the semiparametric results. Our findings hold under a number of different model specifications and robustness checks. The sensitivity analysis in the Log-logistic model reveals that the greatest positive effect on the survival time comes from investor demand followed by operational cash flow over liabilities. The expected survival time is shortened mostly by IPO market level, followed by valuation uncertainty.

Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840601007369 (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:taf:applec:v:41:y:2009:i:5:p:547-561

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840601007369

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().