Search results

The paper has the following objectives in mind: to examine whether or not “green” developments have any significant effect on the Real Estate Investment Trust's (REIT) operational and financial performance; to examine whether or not the effects of “green” developments on the REIT's performance is consistent across the different property types namely office, retail and residential.

The paper introduces two variables to measure “greenness” of REIT's. These variables include the percentage of square feet of certified properties and the average “greenness” score. Firm's size as measured by taking natural logarithm of total assets was also included as it serves as an indirect measurement of “greenness”. Other financial variables were added to control for the differences in firm's characteristics. This is meant to isolate the variation in performance variable that could be explained by the “green” variables. Following which, regressions (OLS) were estimated for each of the performance variables as measured by ROA, FFO/total revenue and ROE.

The general findings of this paper are: “Green” buildings do impact both the operational and financial performance of REITs. However, different measures of “greenness” of REIT's property portfolio will yield different set of results; the observed impacts of “green” buildings are mainly significant for both the K‐REIT and Capitamall Trust (CMT) whereas that for City Developments Limited (CDL) are insignificant; the observed effects vary across the different property types namely office, retail and residential as represented by K‐REIT, CMT and CDL. The paper provides evidence to show that “green” buildings are better options given the various benefits, as compared to their counterparts.

The findings of this paper should serve as a meaningful guide to look at how investments in “green” and sustainable buildings will create value for real estate investors at the REIT's level.

The paper offers insightful information for REIT's managers when they make decisions on the acquisition of “green” properties or retrofitting of the existing properties in their direct real estate portfolios. As such, this paper is meant to extend the body of literature on “green” buildings by investigating the significance of “green” buildings on REIT's performance.

The purpose of this paper is to assess the effect of women directors on US Real Estate Investment Trusts (REITs) value and performance.

Archival financial and board of director data for the 1999–2019 period are collected and analyzed using panel data regression analysis.

The main findings indicate that women directors’ presence renders a modest positive effect on REIT performance but only when they reach critical mass on REIT boards; and that women directors have no effect at all on REIT value. Additional findings indicate that women directors are more common on REIT boards after the enactment of the Sarbanes–Oxley Act but less common on boards in which the REIT founder is the chief executive officer.

To the best of the author’s knowledge, this is the first research on the effect of a gender diverse board on REIT value. It is also the first paper documenting a positive relationship between board gender diversity and REIT performance. This paper fills a research gap, as it is one of the few papers focused on gender diversity within the REITs board composition literature.

Bed Bath & Beyond (BBBY) had no long-term debt on its balance sheet. Although many analysts considered BBBY's balance sheet a strength that permitted greater flexibility, some commented on the risks of its growing cash balance. These concerns raised questions about BBBY's capital structure. In early 2004, interest rates were at an all-time low, making it an attractive time to consider issuing debt and executing either a share repurchase or a one-time special dividend. Provides a few capital structure proposals for students to analyze.

The purpose of this paper is to identify a subset of key financial ratios and factors that provide the best discriminating power to distinguish between creditworthy companies (CWCs) and less creditworthy companies (LCWCs) in the USA with the proposed method.

A proposed framework of Bisection Method Based on Tabu Search + Support Vector Machines (BMTS + SVM) is used to select subset of financial ratios from a pool of candidate ratios. The selected ratios and their corresponding financial factors are considered as the key financial ratios and factors that provide the best discriminating power to distinguish between CWCs and LCWCs. The authors collected financial data for the US companies and then identify the key financial ratios and factors which the selected key financial ratios belong.

It is found that the four selected financial ratios from the proposed method and eight financial ratios which are used by Standard & Poor for their credit-rating system can be attributed to the same four financial factors, namely, cash flow factor, profitability factor, solvency factor and leverage factor. This result lends support that the proposed method can be applied to identify key financial factors to differentiate CWCs and LCWCs.

This study provides a tool for managers in financial institutions to gain better understanding about the credit risk of their applicants by focusing on a parsimonious model with fewer ratios in the key financial factors. In addition, companies that attempt to borrow money from financial institutions can also use these key financial ratios and factors as reference to attain clearer vision on what are the most important factors for being considered a creditworthy company and thus develop specific strategies to improve their financial performance.

Based on data analytic techniques, this paper identifies key financial ratios and factors for examining the creditworthiness of US companies with the proposed framework using BMTS + SVM method.