Estimating IPO pricing efficiency by Bayesian stochastic frontier analysis: The ChiNext market case
Changqing Luo and
Zisheng Ouyang
Economic Modelling, 2014, vol. 40, issue C, 152-157
Abstract:
Based on the Bayesian stochastic frontier analysis (BSFA), this paper empirically studies the pricing efficiency of initial public offering in the ChiNext market from October 2009 to January 2014. The average pricing efficiency calculated by the BSFA model is 0.5908, suggesting that most of the information about the issuers is not reflected in the offering price. Meanwhile, Fundamentals of issuers, Information asymmetry, Issue characteristics, and Market environments have different effects on IPO pricing.
Keywords: Bayesian inference; Stochastic frontier analysis; Pricing efficiency (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:40:y:2014:i:c:p:152-157
DOI: 10.1016/j.econmod.2014.03.030
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