Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing

Purpose – The purpose of this article is introducing a quantified risk assessment use in real estate for forecasting mark risks from a macro view, and applies it in real market to give suggestions for investors and government. Early studies of real estate investment market are focus on finance produ...

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Main Author: Yang, Yunhan
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2013
Online Access:https://eprints.nottingham.ac.uk/26819/
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author Yang, Yunhan
author_facet Yang, Yunhan
author_sort Yang, Yunhan
building Nottingham Research Data Repository
collection Online Access
description Purpose – The purpose of this article is introducing a quantified risk assessment use in real estate for forecasting mark risks from a macro view, and applies it in real market to give suggestions for investors and government. Early studies of real estate investment market are focus on finance productions, such as property trust, real estate stocks. This article tries to outline the whole real estate industry’s risk level. Design/methodology/approach – The article presents an idea borrow from Value at Risk (VaR). VaR is a classic quantified risk measurement. This design will find the relation between property industry’s developments and macro factors, such as GDP, population, as risk factors. Through Monte Carol simulation, gain the volatility of each risk factor and forecast real estate industry’s loss-VaR. Empirical research findings – The empirical research is compare the property market risk between Chinese first-tier cities (Beijing as sample) and second-tier cities (Chongqing as sample) through the VaR method in real estate market. The result show both real estate markets of first-tier cities (Beijing) and second-tier cities (Chongqing) are safety for investor. Practical implications – VaR as a risk measurement of finance production, it is also can apply in other industries. Keywords: Real estate, Market risk, VaR
first_indexed 2025-11-14T18:57:21Z
format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T18:57:21Z
publishDate 2013
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spelling nottingham-268192017-10-19T13:40:30Z https://eprints.nottingham.ac.uk/26819/ Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing Yang, Yunhan Purpose – The purpose of this article is introducing a quantified risk assessment use in real estate for forecasting mark risks from a macro view, and applies it in real market to give suggestions for investors and government. Early studies of real estate investment market are focus on finance productions, such as property trust, real estate stocks. This article tries to outline the whole real estate industry’s risk level. Design/methodology/approach – The article presents an idea borrow from Value at Risk (VaR). VaR is a classic quantified risk measurement. This design will find the relation between property industry’s developments and macro factors, such as GDP, population, as risk factors. Through Monte Carol simulation, gain the volatility of each risk factor and forecast real estate industry’s loss-VaR. Empirical research findings – The empirical research is compare the property market risk between Chinese first-tier cities (Beijing as sample) and second-tier cities (Chongqing as sample) through the VaR method in real estate market. The result show both real estate markets of first-tier cities (Beijing) and second-tier cities (Chongqing) are safety for investor. Practical implications – VaR as a risk measurement of finance production, it is also can apply in other industries. Keywords: Real estate, Market risk, VaR 2013-09-23 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/26819/1/dissertation.pdf Yang, Yunhan (2013) Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Yang, Yunhan
Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title_full Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title_fullStr Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title_full_unstemmed Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title_short Chinese Real Estate Market Risk Measure by Value-at-Risk: an Empirical Study on Real Estate Market of Beijing and Chongqing
title_sort chinese real estate market risk measure by value-at-risk: an empirical study on real estate market of beijing and chongqing
url https://eprints.nottingham.ac.uk/26819/