Influential factors in the formation and collapse of real estate stock bubbles in Vietnam

Purpose This study investigates the dynamics of real estate stock bubbles and the factors affecting the price of real estate stocks in Vietnam. Design/methodology/approach The analysis focuses on five indicators: the Consumer Price Index (CPI), USD/VND exchange rate (EXR), Gold Price Index (GPI), Housing and Construction Materials Price Index (HPI), GDP growth rate, Refinancing rate (REFR), Trading volume (VOL), Trading value (VAL) using quarterly data from 2006 to 2022. The Generalized Sup Augmented Dickey–Fuller (GSADF) test was used to identify periods of explosive price movement, while the Fixed Effects Model with Clustered Variance (FEM VCE) regression model was employed to assess the relationship between macroeconomic variables and stock prices. Findings The results confirm the presence of real estate stock bubbles in the examined period. The CPI, trading volume and refinancing rate had a negative impact on price, while GDP growth, GPI, HPI and trading value had a positive relationship. In contrast, USD/VND exchange rate do not show statistically significant relationships. Originality/value By identifying the key macroeconomic factors driving the formation and collapse of real estate stock bubbles in Vietnam, an area which previously lacked detailed investigation, this study provides empirical evidence to support risk assessment, regulatory oversight, and policy development to improve the stability of the country's stock market.

Authors

Institutions

Publication Details

Journal
Journal of International Economics and Management
Published
2026-01-22
DOI
https://doi.org/10.1108/jiem-05-2025-0027
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influential factors in the formation and collapse of real estate stock bubbles in Vietnam

Phuong Lan Le, Sofia Thi Nguyen, Tan Duy Do, Hong Thi Thu Vu et al.
Journal of International Economics and Management
Housing Market and Economics
article

Influential factors in the formation and collapse of real estate stock bubbles in Vietnam

Phuong Lan Le, Sofia Thi Nguyen, Tan Duy Do, Hong Thi Thu Vu, Duong Thuy Chu
article en

Abstract

Purpose This study investigates the dynamics of real estate stock bubbles and the factors affecting the price of real estate stocks in Vietnam. Design/methodology/approach The analysis focuses on five indicators: the Consumer Price Index (CPI), USD/VND exchange rate (EXR), Gold Price Index (GPI), Housing and Construction Materials Price Index (HPI), GDP growth rate, Refinancing rate (REFR), Trading volume (VOL), Trading value (VAL) using quarterly data from 2006 to 2022. The Generalized Sup Augmented Dickey–Fuller (GSADF) test was used to identify periods of explosive price movement, while the Fixed Effects Model with Clustered Variance (FEM VCE) regression model was employed to assess the relationship between macroeconomic variables and stock prices. Findings The results confirm the presence of real estate stock bubbles in the examined period. The CPI, trading volume and refinancing rate had a negative impact on price, while GDP growth, GPI, HPI and trading value had a positive relationship. In contrast, USD/VND exchange rate do not show statistically significant relationships. Originality/value By identifying the key macroeconomic factors driving the formation and collapse of real estate stock bubbles in Vietnam, an area which previously lacked detailed investigation, this study provides empirical evidence to support risk assessment, regulatory oversight, and policy development to improve the stability of the country's stock market.

Journal of International Economics and Management
City, University of London (GB), Foreign Trade University (VN), Tianjin Energy Investment Group (China) (CN), Yunnan Investment Group (China) (CN)
Decent work and economic growth
Openalex Percentile: Top 85%
Housing Market and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.