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Tail causalities between monetary supply and real estate prices in China

Bibliographic Data

ID13119357
AuthorsHaoyuan Ding (0000-0003-2252-3681, Shanghai University of Finance and Economics, corresponding author), Guoyong Liang (Shanghai University of Finance and Economics), Tong Qi (0000-0002-2823-6379, Shanghai University of Finance and Economics), Jiezhou Ying (0000-0001-7423-2478, Shanghai University of Finance and Economics)
Year2019
Volume8
Issue1
Pages82-95
Publication date2019-11-27
Open AccessNo
TypeARTICLE
VenueEconomic and Political Studies (JOURNAL)
Journal identifiersISSN: 2470-4024 • E-ISSN: 2095-4816
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/20954816.2019.1690268
OpenAlexW2990021037
LanguageEN
References cited24

The asymmetric and segmented causality between the monetary policy and real estate market in China is crucial but remains mystery. With the application of quantile causality test, this article investigates nonlinear dependence between property prices and money supply. Our results show that the tail causality exists in many cities in China. Moreover, we find that small-sized cities and inland cities are more sensitive to the broad money (M2) changes when the housing market return is in the tail quantile intervals. These findings can help the Chinese government formulate appropriate monetary policies regarding their implications in the real estate market

China · Economics · Geography · Macroeconomics · Monetary economics · Monetary policy · Money supply · Real estate · Financial Risk and Volatility Modeling · Housing Market and Economics · Insurance and Financial Risk Management · Finance

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