The purpose of this work is to build a risk management decision support system for the real estate industry. The decision support system would be useful for risk managers interested in real estate investment. The paper identifies the main risk management related decisions that real estate professionals made on a daily basis. Risk management decision models are selected from an extensive literat...

In this paper, the meaning of real estate enterprises informatization is discussed according to the current situation of evaluating real estate enterprises informatization in China. It puts forward the index system of real estate enterprise informatization, and presents a way to evaluate the level of real estate enterprises using the system parameter fusion principle.

This paper examines the dynamic linkages between real estate investment trusts (REITs), which are a proxy for investment in real estate, interest rates and stock prices in Malaysia over the period 2006 to 2009. Two mechanisms have been proposed to interpret the relationship between investment in real estate and stocks. The first is the wealth effect, which states that investors with unanticipat...

The real estate development trade is a pillar industry of our national economy. The real estate companies must focus on core competence in order to succeed in the fierce competition. This paper presents a probabilistic model for core competence estimation of real estate firms. According to the nonlinear feature of real estate core competence, this paper establishes the fuzzy and neural network ...

This study extends from Liu and Mei (1992) by further investigation of assets, real estate related securities, which includes both equity and mortgage real estate investment trusts (REITs), the stocks of builderand owner-companies, and mortgagebacked securities (MBSs). There are five major findings. First, expected excess returns of real estate related securities are more predictable than the e...

Abstract: This paper introduces the application of data mining technology in real estate market and develops an application flow both in theory and practical example. Firstly, The definition, application methods were introduced and using flow of data mining in real estate was analyzed. Then Nanjing real estate market was taken as an example to illustrate how to use neural network------one of th...

This study empirically examined the effects of systematic market and common risk factors in explaining the variations in excess returns of securitized and direct real estate using multi-factor asset pricing models (MAP). The homogeneity of risk premia associated with the economic risk factors was also tested to determine whether the two real estate markets were integrated. By constraining the r...

There has been criticism within the real estate professions that the lack of availability of good quality data has led actuarial professionals and academics to ignore real estate for modelling purposes. It has sometimes been asserted that this is one of the reasons for the decline in institutional investment in real estate, as asset allocation experts have ignored the asset class because of the...

In the real estate business, it is a common understanding that the value and potential of a property are fundamentally determined by its location. For real estate agencies, the real estate system can be used as an aid to selling and managing properties, for the buyers, the system can function as consultant in their decision making in purchasing properties. This emphasizes the significations of ...

This paper analyzes the application feasibility of CMM(Capability Maturity Model for Software) in real estate business management, and builds the CMM of real estate enterprises, It includes five levels, which describes respectively the business management ability levels for real estate enterprises of different levels of maturity. Through the application of the model, it indicates that CMM can h...