We introduce a novel quantitative methodology to detect real estate bubbles and forecast their critical end time, which we apply to the housing markets of China's major cities. Building on the Log-Periodic Power Law Singular (LPPLS) model of self-reinforcing feedback loops, we use the quantile...

Hong Kong, China's housing market witnessed dramatic appreciations recently, with the price index for private domestic housing units being 3 times higher than 10 years ago. This trend is supported by both internal and external factors, as illustrated in this paper. By providing a theoretical...

Using recently developed econometric procedures (Phillips, Wu and Yu, 2011; Phillips, Shi and Yu, 2015), we find evidence of temporary episodes of explosive behaviour in price-to-rent ratios for established houses, in five of Australia's largest cities. One interpretation of our results is that...

Borrowers in states with non-recourse mortgage law face limited liability on their mortgage loans. We show that non-recourse law causes larger swings in housing prices by encouraging speculative investments when housing markets are in a boom cycle. We find that mortgage lending pricing does not...

This paper investigates the existence of speculative bubbles in the US national and 21 regional housing markets over three decades (1978-2015). A new method for real-time monitoring exuberance in housing markets is proposed. By taking changes in the macroeconomic conditions (such as interest...

The recent, dramatic increases in house prices have led to considerable attention being focused on housing markets in China. Using a unique dataset of city-level house prices and rents, this paper investigates the presence of price bubbles in major Chinese city housing markets. Our findings show...

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

In this paper the authors present an agent-based model of a credit network economy. The artificial economy includes different economic agents that interact using simple behavioral rules through various markets, i.e., the consumption goods market, the labor market, the credit market and the...

This paper investigates the housing and mortgage markets by means of an agent-based macroeconomic model of a credit network economy. A set of computational experiments have been carried out in order to explore the effects of different households’ creditworthiness conditions required by banks...