House price prediction is one of the most important factors affecting national real estate
policies. However, developing an accurate housing price prediction model is a significant …

In this study, we examine the network topology of UK regional property returns over the
period 1973Q4–2014Q4 using a dynamic measure of connectedness developed by Diebold …

In this paper, we perform a non-linear assessment of Islamic rate–conventional rate relations
for the case of Malaysia. Using monthly data covering the period January 1999 to November …

This study adopts the data of house prices and trading volume in the overall UK housing
market and in the housing markets in the 10 major regions in the UK to estimate the ripple …

There is an anomaly of “the more regulation, the more rise” in China's housing market before
2017. However, the anomaly seems to have reversed since 2017. To analyze the …

Purpose India is one of those countries that are severely affected by the COVID-19
pandemic. With the upsurge in the cases, the country recorded high unemployment rates …

Banks play a defining role in translating monetary policy shocks to pull or push‐effects in the
housing market. The literature is ambiguous on the exact role of bank lending channel (BLC) …

The existing researches show that the relationships across regional housing market in the
USA are asymmetric, and the ripple effect may exist among regional housing markets. To …

Many efforts have been made to investigate the sentiment in financial and commercial real
estate markets, but only a few studies focus on residential markets because of the lack of …

The current study establishes a dynamic stochastic general equilibrium model with sticky
housing prices and compares the heterogeneous macro effects of exogenous uncertainty …