Zhang Pu

Bio: Zhang Pu is an academic researcher from Southeast University. The author has contributed to research in topics: Investment (macroeconomics) & Financial risk. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

The Grey Fuzzy Comprehensive Evaluation of Financing Risk in Real Estate Investment

Abstract: This paper uses the grey fuzzy comprehensive evaluation method to evaluate the real estate investment risk. It is proved by demonstration that the method is suitable and reliable and will improve the financing risk decision.

Model on Risk Evaluation of Real Estate Investment

Abstract: To find an effective method to deal with the uncertainty of the risk management of real estate investment, a new model based on the AHM (Analytic hierarchical model) and the fuzzy comprehensive evaluation was proposed. After the establishment of the index system, the AHM was employed to determine the weight of every index, and the value of the risk was obtained by using the fuzzy set. Engineering practice showed the rationality of the method. This study provides a promising approach for the risk evaluation of real estate investment and it has significance in theory and practice for the risk management of investment.

An AHP Grey Evaluation Model of the Real Estate Investment Risk

Abstract: Risk evaluation has been an important task for real estate investments in uncertain economic condition In order to find an effective method to deal with the uncertainty of risk evaluation, a model based on the AHP and the Grey system theory was proposed Though an example, we draw the conclusion that the evaluation result is in accordance with the fact To break through conventional method, the calculation of the given demonstration example uses MATLAB 78, making the process more simple and quick The result of the research has manifested that the experiences of experts can be fully absorbed The evaluation results become more accurate and conform to the realistic situation

Risk Evaluation of Real Estate Based on AHM and Fuzzy Set

Abstract: In order to find an effective method to deal with the uncertainty of the risk evaluation of real estate investment, a new method based on the AHM (Analytic hierarchical model) and the fuzzy comprehensive evaluation was proposed. After the establishment of the evaluation system, the AHM was employed to determine the weight of every index, and the value of the risk was obtained by using the fuzzy set. Engineering practice and comparison with other existing methods showed the rationality of the method. This study provides a promising approach for the risk evaluation of real estate investment and has significance in theory and practice for the risk management of investment.

A GIS based system for minimizing acquisition risk in Real Estate property market

Abstract: Many economists have identified the main cause of recent global real estate market crisis both in the poor diffusion of systems capable of monitoring the historical property values that in the lack of public awareness about the risks of real estate investments. This paper proposes a new approach to evaluate property acquisition’s risk that does not rely on a standardize appraisal indices analysis. The proposed Geographical Information System is able to investigate the historical variation of the main real estate market indicators and to let the final user appraise the general level of real estate investment risk. The subsequent sections of this paper will discuss about the real strength of the most common literature’s algorithms used to appraise risk in real estate, then it will be explained how inexpensive information technology applications can help to increase the diffusion of awareness related to real estate market conditions. Finally it will be discussed the case of study; conclusions and some considerations about future improvements will close the study.