Inequality hikes, saving surges, and housing bubbles

2021 ◽  
Vol 72 ◽  
pp. 349-363
Author(s):  
Qingbin Zhao ◽  
Guoqiang Li ◽  
Xinhua Gu ◽  
Chun Kwok Lei
Keyword(s):  
2021 ◽  
Vol 183 ◽  
pp. 555-573 ◽  
Author(s):  
Carolin Martin ◽  
Noemi Schmitt ◽  
Frank Westerhoff

Author(s):  
Andrew Graczyk ◽  
◽  
Toan Phan ◽  

2021 ◽  
Author(s):  
Özge Korkmaz ◽  
Ebru Çağlayan Akay ◽  
Hoşeng Bülbül

It is very important that the housing market, which meets the most basic need of people is needed for shelter from the past to the present, has a stable structure. The instability structure of the housing market is generally associated with the presence of housing bubbles. The deviation of housing prices from their basic value and not being able to be explained by economic fundamentals leads to the formation of housing bubbles. Housing bubbles can lead to permanent losses, as it may take a long time to return to normal prices. For Turkey as a developing country, it is important to identify an unstable structure in house prices discuss the basic economic factors related to this. After the global increases in housing prices, inflation, and depreciation in the Turkish lira, Turkey has become the country with the highest housing price increases globally in 2020. In the study, the presence of bubbles in the housing market for Ankara, Izmir, Istanbul, and Turkey in general, was investigated by SADF and GSADF unit root tests for the period 2010:01-2021:02. In this context, the study examines the presence of bubbles in housing prices for Ankara, Izmir, Istanbul, and Turkey in general, which are the three cities with the highest price increases. As a result of the study, the presence of bubbles in the housing market has been determined for Ankara, Istanbul, Izmir, and Turkey in general.


2017 ◽  
Vol 62 ◽  
pp. 253-263 ◽  
Author(s):  
Xinhua Gu ◽  
Guoqiang Li ◽  
Xiao Chang ◽  
Haizhen Guo

2015 ◽  
pp. 447-463 ◽  
Author(s):  
Chin-Oh Chang ◽  
Ming-Chi Chen
Keyword(s):  

2016 ◽  
Vol 9 (2) ◽  
pp. 190-221 ◽  
Author(s):  
Charalambos Pitros ◽  
Yusuf Arayici

Purpose The purpose of this paper is to provide a decision support model for the early diagnosis of housing bubbles in the UK during the maturity process of the phenomenon. Design/methodology/approach The development process of the model is divided into four stages. These stages are driven by the normal distribution theorem coupled with the case study approach. The application of normal distribution theory is allowed through the usage of several parametric tools. The case studies tested in this research include the last two UK housing bubbles, 1986 to 1989 and 2001/2002 to 2007. The central hypothesis of the model is that during housing bubbles, all speculative activities of market participants follow an approximate synchronisation, and therefore, an irrational, synchronous and periodic increase on a wide range of relevant variables must occur to anticipate the bubble component. An empirical application of the model is conducted on UK housing market data over the period of 1983-2011. Findings The new approach successfully identifies the well-known UK historical bubble episodes over the period of 1983-2011. The study further determines that for uncovering housing bubbles in the UK, house price changes have the same weight with the debt–burden ratio when their velocity is positive. Finally, the application of this model has led us to conclude that the model’s outputs fluctuate approximately in line with phases of the UK real estate cycle. Originality/value This paper proposes a new measure for studying the presence of housing bubbles. This measure is not simply an ex post detection technique but dating algorithms that use data only up to the point of analysis for an on-going bubble assessment, giving an early warning diagnostic that can assist market participants and regulators in market monitoring.


2013 ◽  
Vol 90 (1) ◽  
pp. 79-99 ◽  
Author(s):  
K. Ihlanfeldt ◽  
T. Mayock

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