Abstract
Since the work of Morck et al. (Journal of Financial Economics 20: 293–315, 1988), nonlinear model specification has gained more attention in corporate finance research. In this paper, we provide a detailed review of the previous studies that have examined nonlinear relations in corporate finance. We review the theory and evidence in these studies and discuss the advantages and disadvantages of the various methodologies used to detect nonlinearity. We also suggest two possible methodological extensions, which we apply in the empirical analysis of R&D investment and firm value.
This article is an updated version of the article entitled “Nonlinear Models in Corporate Finance Research: Review, Critique, and Extensions” published in the Review of Quantitative Finance and Accounting (Sheng-Syan Chen, Kim Wai Ho, Cheng-few Lee, and Keshab Shrestha, Vol. 22, 2004, pp. 141–169). We would like to thank the editor of the Review of Quantitative Finance and Accounting, Professor Cheng-few Lee, and Kluwer Academic Publishers for permission to reprint the paper.
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Acknowledgments
The authors wish to thank James Booth and seminar participants at the 2001 FMA Annual Meeting, the Seventh Conference on Pacific Basin Finance, Economics and Accounting, and Annual Research Conference in Finance and Financial Market in the twenty-first Century for helpful comments. Wei-Ying Nie provided capable research assistance. Any errors are the authors’.
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Chen, SS., Ho, K.W., Lee, CF., Shrestha, K. (2013). Nonlinear Models in Corporate Finance Research: Review, Critique, and Extensions. In: Lee, CF., Lee, A. (eds) Encyclopedia of Finance. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5360-4_73
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