Economics and Finance Faculty Publications and Presentations
Document Type
Article
Publication Date
6-13-2016
Abstract
Purpose
The purpose of this paper is to model asymmetric information and study the profitability of venture capital (VC) backed initial public offerings (IPOs). The mixtures approach endogenously separates IPOs into differentiated groups based on their returns’ determinants. The authors also analyze the factors that affect the probability that IPOs belong to a specific group.
Design/methodology/approach
The authors propose a new method to model asymmetric information between investors and firms in VC backed IPOs. The approach allows the authors to identify differentiated companies under incomplete information. The authors use a sample of 2,404 US firms from 1980 through 2012 to estimate the mixture model via maximum likelihood.
Findings
The authors find strong evidence that companies can be separated into two groups based on how IPO returns are determined. For companies in the first group the results are similar to previous studies. For companies in the second group the authors find that profitability is mainly affected by the reputation of the seed VC and capital expenditures. Tangible assets and age help explain group affiliation. The authors also motivate the findings for a continuum of heterogeneous IPO groups.
Practical implications
The proposed mixture approach helps decrease asymmetric information for investors, regulators, and companies.
Originality/value
The mixture methods help decrease asymmetric information between investors and firms improving the probability of making profitable investments. Separating between groups of IPOs is crucial because different determinants of an IPO operating performance can potentially have opposite effects for different groups.
Recommended Citation
Escobari, Diego, and Alejandro Serrano. “Reducing Asymmetric Information in Venture Capital Backed IPOs.” Managerial Finance 42, no. 6 (June 13, 2016): 553–68. https://doi.org/10.1108/MF-03-2015-0059.
First Page
553
Last Page
568
Publication Title
Managerial Finance
DOI
10.1108/MF-03-2015-0059
Comments
© 2016, Emerald Group Publishing Limited. Original published version available at https://doi.org/10.1108/MF-03-2015-0059