A study on the relationship between corporate governance and pricing for initial public offerings: The application of artificial neural networks

Chei Chang Chiou, Wang Sen-Wei

Research output: Contribution to journalArticle

Abstract

The purpose of this study is to investigate the relationship between corporate governance and pricing for initial public offerings (IPOs). Empirical result finds that the prediction of pricing of IPOs with corporate governance added can have a rather higher degree of predicting accuracy than that of non governance added during the training and testing samples. Therefore, it can be observed that corporate governance mechanism can affect the pricing of IPOs.

Original languageEnglish
Pages (from-to)153-162
Number of pages10
JournalSmart Innovation, Systems and Technologies
Volume4
DOIs
Publication statusPublished - 2010 Dec 1

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Neural networks
Costs
Testing
Corporate governance
Initial public offerings
Artificial neural network
Pricing
Corporate governance mechanisms
Prediction
Empirical results
Governance

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

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