scholarly journals Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility

2018 ◽  
Vol 11 (4) ◽  
pp. 90 ◽  
Author(s):  
Xie He ◽  
Xiao-Jing Cai ◽  
Shigeyuki Hamori

Housing prices in China have been rising rapidly in recent years, which is a cause for concern for China’s housing market. Does bank credit influence housing prices? If so, how? Will the housing prices affect the bank credit system if the market collapses? We aim to study the dynamic relationship between housing prices and bank credit in China from the second quarter of 2005 to the fourth quarter of 2017 by using a time-varying parameter vector autoregression (VAR) model with stochastic volatility. Furthermore, we study the relationships between housing prices and housing loans on the demand side and real estate development loans on the supply side, separately. Finally, we obtain several findings. First, the relationship between housing prices and bank credit shows significant time-varying features; second, the mutual effects of housing prices and bank credit vary between the demand side and supply side; third, influences of housing prices on all kinds of bank credit are stronger than influences in the opposite direction.

2018 ◽  
Vol 13 (4) ◽  
pp. 149 ◽  
Author(s):  
Weina Cai ◽  
Sen Wang

The boom of housing market in China in recent years has attracted great concerns from all over the world. How monetary policy affects house prices in China becomes an essential topic. This paper studies the time-varying effects of monetary policy on house prices in China during 2005.7-2017.10, by using a time-varying parameter VAR model. This paper obtains three interesting results. First, there are time-varying features of the responses of house prices to monetary policy shocks half-year and 1-year ahead, no matter through interest rate channel or through credit channel. Second, interest rate channel and credit channel have been enhanced since financial crisis in 2008. Third, the responses of nominal house prices to monetary policy in China are mainly driven by the responses of real house prices, instead of inflation. Finally, this paper gives proper suggestions for each finding respectively to central bank in China.


2017 ◽  
Vol 6 (2) ◽  
pp. 35 ◽  
Author(s):  
Hiroyuki Ijiri

This study investigates exchange rates and bank lending as the transmission channels for Japan’s Quantitative Easing Policy (QEP) during 2001–2006. Using a Time Varying Parameter-VAR model and monthly data to analyze the dynamism of the QEP, this study is the first to show that the exchange rate channel was the effective QEP transmission channel after around 2005, while the bank lending channel was inactive.


2014 ◽  
Vol 6 (1) ◽  
pp. 46-63 ◽  
Author(s):  
Rangan Gupta ◽  
Charl Jooste ◽  
Kanyane Matlou

Purpose – This paper aims to study the interplay of fiscal policy and asset prices in a time-varying fashion. Design/methodology/approach – Using South African data since 1966, the authors are able to study the dynamic shocks of both fiscal policy and asset prices on asset prices and fiscal policy based on a time-varying parameter vector autoregressive (TVP-VAR) model. This enables the authors to isolate specific periods in time to understand the size and sign of the shocks. Findings – The results seem to suggest that at least two regimes exist in which expansionary fiscal policy affected asset prices. From the 1970s until 1990, fiscal expansions were associated with declining house and slightly increased stock prices. The majority of the first decade of 2000 had asset prices increasing when fiscal policy expanded. On the other hand, increasing asset prices reduced deficits for the majority of the sample period, while the recent financial crises had a marked change on the way asset prices affect fiscal policy. Originality/value – This is the first attempt in the literature of fiscal policy and asset prices to use a TVP-VAR model to not only analyse the impact of fiscal policy on asset prices, but also the feedback from asset prices to fiscal policy over time.


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