The range of uncertainty on the property market pricing: the case of the city of Shanghai

Jian Zhou; Yixuan Shen; Athanasios A. Pantelous; Hui Zhang

doi:10.1016/j.frl.2020.101720

The range of uncertainty on the property market pricing: the case of the city of Shanghai

Jian Zhou, Yixuan Shen, Athanasios A. Pantelous, Hui Zhang

Econometrics & Business Statistics

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Abstract

Property prices around the globe have seen very strong growth over the last two decades. Across various advanced countries, such a rapid and uncontrolled growth in house prices puts their economy in danger, and most importantly, their social integration and interconnectedness at great risk. In this paper, we develop a novel fuzzy linear regression framework using symmetric and asymmetric trapezoidal fuzzy numbers for determining the relationship of particular (non-) policy factors with the house prices. An interviewing questionnaire survey was conducted for collecting real data for the city of Shanghai to illustrate our theoretical treatment.

Original language	English
Article number	101720
Number of pages	11
Journal	Finance Research Letters
Volume	40
DOIs	https://doi.org/10.1016/j.frl.2020.101720
Publication status	Published - May 2021

Keywords

House prices
Bid-Ask spread
Fuzzy linear regression
Trapezoidal fuzzy numbers

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10.1016/j.frl.2020.101720

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abstract = "Property prices around the globe have seen very strong growth over the last two decades. Across various advanced countries, such a rapid and uncontrolled growth in house prices puts their economy in danger, and most importantly, their social integration and interconnectedness at great risk. In this paper, we develop a novel fuzzy linear regression framework using symmetric and asymmetric trapezoidal fuzzy numbers for determining the relationship of particular (non-) policy factors with the house prices. An interviewing questionnaire survey was conducted for collecting real data for the city of Shanghai to illustrate our theoretical treatment.",

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author = "Jian Zhou and Yixuan Shen and Pantelous, {Athanasios A.} and Hui Zhang",

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N1 - Funding Information: The authors would like to acknowledge the gracious support of this work by the National Social Science Foundation of China (Grant No. 71872110) and the High-end Foreign Experts Recruitment Program of China (Grant No. GDW20183100431). Publisher Copyright: © 2020 Elsevier Inc. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

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The range of uncertainty on the property market pricing: the case of the city of Shanghai

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Keywords

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