The underpricing of US REIT IPOs : 1996–2010

This study examines the underpricing cost of 123 US REIT IPOs over the period 1996 until June 2010, including the period of the global financial crisis. The study uses OLS multivariate regression to determine some potential factors behind underpricing. The underpricing cost of raising REIT external equity averaged 3.18% using an equal weighting for each of the 123 REIT IPOs. The study finds offer size is positively related to underpricing. A value weighted approach finds that underpricing averages 4.67% and suggests larger offer size is an important determinant for leaving more money on the table. Higher reputation underwriters, the industry differentiated auditor and post offer ownership structure negatively influence underpricing. The study documents declining underpricing over time with the period of 2007–2010 experiencing negative underpricing (overpricing) during the global financial crisis (GFC). Offers during the hot periods of 1997 and 2004 and the office/industrial property type were more highly underpriced. The 10-year treasury interest rate is identified as another significant positive determinant of underpricing.

The gender composition of boards of property trust IPOs in Australia from 1994 to 2004

This study investigates the gender composition of the boards of directors of Australian property trust IPOs from 1994 to 2004. Like mining and industrial company IPOs, we find that property trust IPOs in Australia generally do not require female directors for the initial equity capital raising. We also find that larger IPOs during 1994 to 1999 tended to engage more women directors but that this relation was not significant in property trust IPOs from 2000 to 2004.

Factors influencing money left on the table by property trust IPO issuers

While previous listed property trust (LPT) initial public offering (IPO) studies have identified low under pricing returns, this study specifically examines the amount of money left on the table by the pre-IPO owners in this category of IPO. This study investigates 58 property trust IPOs in Australia from 1994 to 2004 and finds that the amount of money left by LPT IPOs is considerably less than industrial company IPOs, implying considerably less uncertainty about the valuation of such IPOs compared to industrials. We also find that more recent (post 2000) LPT IPOs in Australia appear to be significantly different to previous LPT IPOs in both money left and under pricing terms.

The gender composition of boards of property trust initial public offerings

This paper follows Dimovski and Brooks (2004) which identified a relatively low proportion of female directors on the boards of Australian mining and industrial company initial public offerings (IPOs). This study investigates the gender composition of the boards of directors of Australian property trust IPOs from 1994 to 1999. We find that property trust IPOs in Australia generally do not require female directors for the capital raising. We also find that larger IPOs tend to engage more women directors but that retail property trust IPOs tend to engage fewer women directors.

Differences in underpricing returns between REIT IPOs and industrial company IPOs

This paper follows Chan, Stohs, andWang (2001), which argues that the underlying value of the real estate is not by itself the reason for the very substantial differences in underpricing returns between real estate investment trust (REIT) IPOs and industrial company IPOs.We use variables identified in previous studies that have helped explain the underpricing of industrial company IPOs to help explain the underpricing of property trust IPOs. We find that the prospectus forecast dividend yield is a critical variable in the valuation and hence underpricing of REIT IPOs compared to industrial company IPOs. The sentiment towards the market and whether or not the issue is underwritten also impact the underpricing of REITs but the impact is much less than on industrial company IPOs.

Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model.

On the use of fuzzy inference techniques in assessment models : part II : industrial applications

In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, the effectiveness of the monotone output property in a single-input fuzzy assessment model is demonstrated with a proposed fuzzy occurrence model. Then, the usefulness of the two properties to a multi-input fuzzy assessment model, i.e., the Bowles fuzzy Risk Priority Number (RPN) model, is assessed. The experimental results indicate that both the fuzzy occurrence model and Bowles fuzzy RPN model are able to fulfill the monotone output property, with the derived conditions (in Part I) satisfied. In addition, the proposed rule refinement technique is able to improve the output resolution property of the Bowles fuzzy RPN model.