scholarly journals An Empirical Analysis of House Price Bubble: A Case Study of Beijing Housing Market

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Ryan Dong Chen ◽  
Christopher Gan ◽  
Baiding Hu ◽  
David A. Cohen
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsin Khan ◽  
Rup Singh ◽  
Arvind Patel ◽  
Devendra Kumar Jain

Purpose This paper aims to assess the equilibrium house price in the city of Suva (Fiji) and to analyse the house price bubble in the Fiji housing market. Design/methodology/approach This paper adopts a time series approach to determine the presence of house price bubbles in Fiji over the period from 1988 to 2018. Findings The findings suggest that real income, land cost, building material price, inflation rate, volatility, household size and wealth have a positive impact on house prices, whereas user cost of capital and political disturbances have a negative impact. The findings further indicate that the Fijis’ housing market does not constitute any house price bubble. Practical implications This paper draws policy implications for a small developing state (Fiji) and other similar economies. Originality/value The price bubble in the Fiji housing market is analysed for the first time. This paper develops a comprehensive empirical approach to assess the equilibrium-housing price in Fiji.


2016 ◽  
Vol 11 (12) ◽  
pp. 127
Author(s):  
Fong Kean Yan ◽  
Yap Lya Keng ◽  
Kwek Kien Teng

The main objective of this research is to investigate the relationship between house price with macroeconomics variables - Gross Domestic Product per capita, inflation rate, Base Lending Rate and amount of household loan disbursed for purchase of residential properties. We try to use these variables to examine if they could trigger a housing bubble to burst in Malaysia. Granger Causality results show that there is univariate relationship from house price to Gross Domestic Product per capita. Though house price and other macroeconomics variables do not Granger–cause each other in short run, but these variables are cointegrated in the long run, i.e. there is no evidence of house price bubble in Malaysia. We suggest that soaring house prices in Malaysia is being supported by the large inflow of foreign funds into the housing sector and the unresponsive supply of houses.


Author(s):  
Colin Hay

This article presents a comparative analysis of the determinants, sustenance and broader macroeconomic consequences of the ultimately unsustainable housing boom in Ireland and the UK in recent years. It examines, in particular, the role played by ostensibly depoliticised monetary policy in both contexts in the development of a house price bubble that has served to fuel consumer-led growth. It assesses the viability, sustainability and reproducibility of the private debt-financed consumer boom that house price inflation has generated. In the process it draws attention to the increasingly differentiated character of both government inflationary preferences and counter-inflationary performance—with the shift to official measures of inflation that exclude mortgage interest repayments and, in the UK at least, to the covert re-politicisation of monetary policy. It concludes by suggesting that governments may well not have time-inconsistent inflationary preferences so much as sectorally specific inflationary preferences. This might be summarised in terms of the aphorism: ‘retail price inflation bad, house price inflation good’.


2015 ◽  
Vol 66 (2) ◽  
Author(s):  
Julia Freese

AbstractThe recent U.S. house price bubble and the subsequent deep financial crisis have renewed the interest in reliable identification methods for asset price bubbles. While there is a growing number of studies focussing on the detection of U.S. regional bubbles, estimations of the likely starting points in different local U.S. markets are still rare. Using regional data from 1990 to 2010 methods of Statistical Process Control (SPC) are used to test for house price bubbles in 17 major U.S. cities. Based on the EWMA control chart we also present estimations of the likely starting point of the regional bubbles. As a result, we find indications of house price bubbles in all 17 considered cities. Interestingly enough, the recent bubble was not a homogeneous event since regional starting points range from 1996 to 2002.


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