International Journal of Housing Markets and Analysis: Volume 17 Issue 1

Guest editorial: Predictability of housing prices in the times of crises: new trends, methodologies, and techniques

Syed Ali Raza, Khaled Guesmi

Housing market shifts favouring transit-oriented development in emerging economies: the link between metro rails and housing price dynamics in Delhi

Vivek Agnihotri, Saikat Kumar Paul

This paper aims to understand the spatiotemporal influence of metro rail connectivity on housing prices in surrounding areas. The study assesses the average annual price shift for…

Real estate investment decisions in COVID-19 crisis: the effect of perception and behavioral biases

Muhammad Ali, Leong Choi-Meng, Eugene Cheng-Xi Aw, Chin-Hong Puah, Abdulkadir Barut

This study aims to examine the interconnectedness between investors' perceptions of assets and their behavioral factors with investment decisions during the COVID-19 pandemic in…

A multi-level modeling approach for predicting real-estate dynamics

Vinayaka Gude

This research developed a model to understand and predict housing market dynamics and evaluate the significance of house permits data in the model’s forecasting capability.

The effects of housing price on the mortgage debt in Malaysia: new evidence from FMOLS method

Hafizah Hammad Ahmad Khan

The main purpose of this study is to investigate the impact of housing price on mortgage debt accumulation while considering the structural break effects associated with the…

Time-varying connectedness between global economic policy uncertainty and regional real estate markets: evidence from TVP-VAR extended joint connectedness approach

Haobo Zou, Mansoora Ahmed, Quratulain Tariq, Komal Akram Khan

The real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global…

Predictability of Belgian residential real estate rents using tree-based ML models and IML techniques

Ian Lenaers, Kris Boudt, Lieven De Moor

The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear…

Quantile connectedness among real estate investment trusts during COVID-19: evidence from the extreme tails of distributions

Hongxia Tong, Asadullah Khaskheli, Amna Masood

Given the evolving market integration, this study aims to explore the connectedness of 12 real estate investment trusts (REITs) during the COVID-19 period.

Comparing simple and complex regression models in forecasting housing price: case study from Kenya

Fredrick Otieno Okuta, Titus Kivaa, Raphael Kieti, James Ouma Okaka

The housing market in Kenya continues to experience an excessive imbalance between supply and demand. This imbalance renders the housing market volatile, and stakeholders lose…

Dynamic effects of geopolitical risks and infectious diseases on real estate markets

Denis N. Yuni, Immaculata N. Enwo-Irem, Christian Urom

Geopolitical risks (GPR) and increase in equity market volatility due to health pandemics have great implications on assets prices around the world. Many empirical studies have…

Australian housing markets, the COVID-19 pandemic and black swan events

Woon Weng Wong, Kwabena Mintah, Peng Yew Wong, Kingsley Baako

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19…

Deterministic and probabilistic analysis of Ukrainian residential property market evolution in turbulent 2019-2022 years

Valery Yakubovsky, Oleksiy Bychkov, Kateryna Zhuk

This paper aims to examine the influence of Covid-19, current war and other factors on the dynamics of real estate prices in Ukraine from 2019Q2 to 2022Q4. More specifically, the…

Have housing value indicators changed during COVID? Housing value prediction based on unemployment, construction spending, and housing consumer price index

Xingrui Zhang, Eunhwa Yang

Housing market research involves observing the relationships between housing value and its indicators. However, recent literature indicates that the disruption of the COVID-19…