Dynamic and state-dependent rental-growth connectedness across Australian capital cities

Purpose This study aims to examine the degree, direction, time variation and state dependence of rental-growth connectedness among Australia’s eight capital cities. Design/methodology/approach Advertised asking rents for three-bedroom houses are observed four times monthly from August 2009 to October 2024. Generalised Diebold–Yilmaz measures identify total, directional and net predictive connectedness; rolling estimation tracks changing city roles; and quantile connectedness distinguishes lower-tail, median and upper-tail states. Sensitivity checks vary lags, horizons, rolling windows, frequency, transformation and tail treatment. Findings Full-sample connectedness is 30.8%, indicating incomplete integration, with Sydney and Canberra as net transmitters. City roles change over time: Melbourne and Adelaide lead during the acute-pandemic phase, while Darwin and Hobart lead afterwards. Average connectedness declines descriptively from 30.5% before the pandemic to 29.1% during the acute-pandemic phase and 28.8% afterwards, despite a pronounced rolling peak around 2020–2021. Connectedness is substantially higher in the lower and upper tails (77.3% and 78.5%) than at the median (32.1%). Its magnitude is sensitive to lags, rolling windows, frequency and tail treatment. Research limitations/implications The measures capture predictive interdependence, including shared national influences, rather than structurally identified causal transmission. Practical implications Network-based monitoring should combine rental growth with vacancy, migration, supply and affordability indicators and adapt interventions to changing city roles and market states. Originality/value The study provides integrated mean, directional, rolling and quantile evidence for the Australian capital-city rental system.

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Publication Details

Journal
International Journal of Housing Markets and Analysis
Published
2026-10-07
DOI
https://doi.org/10.1108/ijhma-04-2026-0094
Primary Topic
Housing Market and Economics
Type
article
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article

Dynamic and state-dependent rental-growth connectedness across Australian capital cities

Zakaria Boulanouar, Mubeen Abdur Rehman, Saqib Farid
International Journal of Housing Markets and Analysis
Housing Market and Economics
article

Dynamic and state-dependent rental-growth connectedness across Australian capital cities

Zakaria Boulanouar, Mubeen Abdur Rehman, Saqib Farid
article en

Abstract

Purpose This study aims to examine the degree, direction, time variation and state dependence of rental-growth connectedness among Australia’s eight capital cities. Design/methodology/approach Advertised asking rents for three-bedroom houses are observed four times monthly from August 2009 to October 2024. Generalised Diebold–Yilmaz measures identify total, directional and net predictive connectedness; rolling estimation tracks changing city roles; and quantile connectedness distinguishes lower-tail, median and upper-tail states. Sensitivity checks vary lags, horizons, rolling windows, frequency, transformation and tail treatment. Findings Full-sample connectedness is 30.8%, indicating incomplete integration, with Sydney and Canberra as net transmitters. City roles change over time: Melbourne and Adelaide lead during the acute-pandemic phase, while Darwin and Hobart lead afterwards. Average connectedness declines descriptively from 30.5% before the pandemic to 29.1% during the acute-pandemic phase and 28.8% afterwards, despite a pronounced rolling peak around 2020–2021. Connectedness is substantially higher in the lower and upper tails (77.3% and 78.5%) than at the median (32.1%). Its magnitude is sensitive to lags, rolling windows, frequency and tail treatment. Research limitations/implications The measures capture predictive interdependence, including shared national influences, rather than structurally identified causal transmission. Practical implications Network-based monitoring should combine rental growth with vacancy, migration, supply and affordability indicators and adapt interventions to changing city roles and market states. Originality/value The study provides integrated mean, directional, rolling and quantile evidence for the Australian capital-city rental system.

International Journal of Housing Markets and Analysis
Al Ain University (AE), United Arab Emirates University (AE), University of Management and Technology (PK), The University of Adelaide (AU)
Openalex Percentile: Top 8%
Housing Market and Economics
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