To inform theory and to investigate the practical application of prediction markets in a setting where the distribution of information across agents is critical, we conducted markets designed to forecast post-IPO valuations before a particularly unique IPO: Google. Because prediction markets allow us to infer the distribution of information before the IPO, the combination of results from our ma...

This study examines the associations between the characteristics of boards ship) (e.g., Jensen, 1993), have been argued by researchers to be better able to monitor management. of directors of initial public offering (IPO) firms and the availability of growth opportunities and level of inside share ownership of these firms. Regulatory agencies in different countries view certain characteristics ...

This paper has not undergone formal review or approval of the faculty of the ILR School. It is intended to make results of Center research available to others interested in preliminary form to encourage discussion and suggestions. Abstract In order to better understand the relevant resources in the resource based view of the firm, this study examines which resources executives in initial public...

W conducted prediction markets designed to forecast post-initial public offering (IPO) valuations before a particularly unique IPO: Google. The prediction markets forecast Google’s post-IPO market capitalization relatively accurately. While Google’s auction-based IPO price was 15.3% below the first-day closing market capitalization, the final prediction market forecast was only 4.0% above it. T...

We study the association between gender of Chief Executive Officer (CEO) and probability that firms go public through an Initial Public Offering (IPO), using data for full population Swedish IPO from 2005-2017, matched private firms. find are less likely to have a female CEO. The results robust when we test change CEO: switch male CEO public, consider balance among board directors.