In this paper we investigate the assessment of credit risk in Australian Commercial Mortgage-Backed Securities (CMBS). Adequate assessment of credit risk is critical to the success of CMBS issues. We follow Adair and Hutchinsonís (2005) segmentation of property risk in investigating how it has...

The paper explores some basic characteristics of US, EU and Australian Commercial Mortgage-Backed Securities (CMBS) markets and outlines similarities and dissimilarities in the three regions. The CMBS market has been one of the fastest growing asset-backed securities classes. Record issuance...

<title>Abstract</title> Using artificial neural networks (ANN) and ordinal regression (OR) as alternative methods to predict Commercial Mortgage‐backed Securities (CMBS) credit ratings, we examine the role that various financial and industry‐based variables have on CMBS credit ratings issued by Standard...

Using panel data methodology, the determinants of capital structure in 34 Australia listed property trusts (A-REITs) are investigated for the period 2003-2008. Empirical results reveal that profitability, growth opportunity, and operational risk are negatively related to leverage while size is...

Balancing demand and supply is at the heart of the corporate real estate planning challenge. Real estate commitments, which are often long-term by nature, are at odds with the quickening competitive environment in which many companies operate today. The “structuring dilemma” is grounded in...

According to the Reserve Bank of Australia (2006) the increased supply of Commercial Mortgage-Backed Securities (CMBS), with a range of subordination, has broadened the investor base in real estate debt markets and reduced the commercial property sector’s dependence on bank financing The CMBS...

CMBS are an important segment of the real estate debt markets which reduce the commercial property sector's dependence on bank financing. Until the advent of the credit squeeze in Q3:2007, the CMBS market was one of the most dynamic and fastest-growing sectors in the capital markets, for a...

The purpose of the paper is to investigate how Asset-Backed Securitization (ABS) can be used to fund infrastructure development in developing countries. This paper also presents a case study on how ABS has been used to fund infrastructure in Australia and points out the lessons that developing...

Using artificial neural networks (ANN) and ordinal regression (OR) as alternative methods to predict LPT bond ratings, we examine the role that various financial and industry variables have on Listed Property Trust (LPT) bond ratings issued by Standard and Poor’s from 1999-2006. Our study...

In many countries, the main providers for major infrastructure projects are government or public agencies. Public infrastructure projects includes economic and social infrastructure such as transportation, education and health facilities. Most decision-making models for delivery of public...