Central bank influence and housing financialisation
An empirical analysis on the case of Chile
Bibliographic Data
| ID | 21188228 |
|---|---|
| Authors | Francisco Vergara-Perucich (0000-0002-1930-4691, University of the Americas, corresponding author) |
| Year | 2026 |
| Issue | 71 |
| Pages | 91-110 |
| Publication date | 2026-01-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Geography. Socio-economic Series (JOURNAL) |
| Journal identifiers | ISSN: 1732-4254 • E-ISSN: 2083-8298 |
| Publisher | Uniwersytet Mikolaja Kopernika/Nicolaus Copernicus University (PUBLISHER) |
| DOI | 10.12775/bgss-2026-0006 |
| OpenAlex | W7124995091 |
| Language | EN |
This article examines the role of Chile's Central Bank in the financialisation of housing through an empirical analysis of the dynamic relationships between monetary policy, mortgage rates and real housing prices from 2004 to 2023. Employing a Vector Error Correction Model (VECM), the study identifies a long-run cointegrating relationship (HPI = –53.63 × Mortgage Rate + 16.23 × Policy Rate) in which housing prices are inversely related to mortgage rates but, counterintuitively, positively associated with the policy rate, suggesting speculative dynamics that complicate the central bank's stabilising role. The model reveals that monetary policy transmits through mortgage markets with delayed and non-monotonic effects: contractionary shocks induce price declines peaking at 6 months, before reversing after 18 months. Crucially, forecast error variance decomposition shows that 98.9% of housing price fluctuations are driven by endogenous market dynamics, with monetary policy explaining only 0.4% of long-term variance
Central bank · Empirical evidence · Error correction model · Interest rate · Monetary policy · Variance (accounting) · Variance decomposition of forecast errors · Vector autoregression · Economic Theory and Policy · Housing Market and Economics · Housing, Finance, and Neoliberalism
| Highly cited | No |
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