Z-Score as Predictor of Analyst Coverage of IPOs

26 Pages Posted: 23 Mar 2014

Date Written: March 1, 2014

Abstract

In this study, we attempt to predict which IPOs will benefit from analyst coverage with information contained in their prospectus or revealed immediately after the first day of trading. We find that the predictive models are very accurate in classifying approximately 75% of the US IPOs over the period from 1994 to 2012 correctly. We identify best predictors for analyst coverage. These are (i) underpricing, (ii) high tech firms and (iii) bookbuilding method. For example, CART model classifies orphan IPOs with slightly worse accuracy (70.6%) than non orphan IPOs (81.1%). This result is evidence that analyst coverage can be predicted with only information contained in the IPO prospectuses or immediately after the first day of trading.

Suggested Citation

Boissin, Romain, Z-Score as Predictor of Analyst Coverage of IPOs (March 1, 2014). Available at SSRN: https://ssrn.com/abstract=2412728 or http://dx.doi.org/10.2139/ssrn.2412728

Romain Boissin (Contact Author)

University of Montpellier ( email )

Avenue de la Mer Site Richter
163 Rue Auguste Broussonnet
Montpellier, Cedex 2 34090
France

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