scholarly journals The Time-Varying Effects of Monetary Policy on House Prices in China: An Application of TVP-VAR Model with Stochastic Volatility

2018 ◽  
Vol 13 (4) ◽  
pp. 149 ◽  
Author(s):  
Weina Cai ◽  
Sen Wang
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
House Prices ◽  
Var Model ◽  
Time Varying ◽  
Credit Channel ◽  
Monetary Policy Shocks ◽  
Time Varying Parameter ◽  
Policy Shocks ◽  
Interest Rate Channel

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.

scholarly journals The Time-Varying Effect of Monetary Policy on Asset Prices

2020 ◽  
Vol 102 (4) ◽  
pp. 690-704 ◽  
Author(s):  
Pascal Paul
Keyword(s):  
Monetary Policy ◽  
Asset Prices ◽  
House Prices ◽  
The United States ◽  
Model Parameters ◽  
Time Varying ◽  
Real Economy ◽  
Monetary Policy Shocks ◽  
Vector Autoregressive ◽  
Policy Shocks

This paper studies how monetary policy jointly affects asset prices and the real economy in the United States. I develop an estimator that uses high-frequency surprises as a proxy for the structural monetary policy shocks. This is achieved by integrating the surprises into a vector autoregressive model as an exogenous variable. I use current short-term rate surprises because these are least affected by an information effect. When allowing for time-varying model parameters, I find that compared to the response of output, the reaction of stock and house prices to monetary policy shocks was particularly low before the 2007–2009 financial crisis.

scholarly journals Identifying conventional and unconventional monetary policy shocks: a latent threshold approach

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Takeshi Kimura ◽  
Jouchi Nakajima
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Regime Switching ◽  
Structural Var ◽  
Var Model ◽  
Recursive Identification ◽  
Time Varying ◽  
Unconventional Monetary Policy ◽  
Monetary Policy Shocks ◽  
Policy Shocks

AbstractThis paper proposes a new estimation framework for identifying monetary policy shocks in both conventional and unconventional policy regimes using a structural VAR model. Exploiting a latent threshold modeling strategy that induces time-varying shrinkage of the parameters, we explore a recursive identification switching with a time-varying overidentification for the interest rate zero lower bound. We empirically analyze Japan’s monetary policy to illustrate the proposed approach for modeling regime-switching between conventional and unconventional monetary policy periods, and find that the proposed model is preferred over a nested standard time-varying parameter VAR model. The estimation results show that increasing bank reserves lowers long-term interest rates in the unconventional policy periods, and that the impulse responses of inflation and the output gap to a bank reserve shock appear to be positive but highly uncertain.

Revisiting the Link between House Prices and Monetary Policy

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shiu-Sheng Chen ◽  
Tzu-Yu Lin
Keyword(s):  
South Africa ◽  
Monetary Policy ◽  
Interest Rate ◽  
The Netherlands ◽  
House Prices ◽  
House Price ◽  
Monetary Policy Shocks ◽  
The Us ◽  
Policy Shocks ◽  
Interest Rate Shock

Abstract This paper revisits the link between house prices and monetary policy using a data set on house prices provided by the Bank for International Settlements. It is found that a loose monetary policy unambiguously results in a rise in real house prices, and such an increase is statistically significant for 19 of the 20 countries studied here. Empirical results also show that for some countries (Belgium, Canada, Switzerland, Denmark, the Netherlands, Sweden, and South Africa), the interest rate shock can explain a large percentage of real house price movements. The response of house prices to monetary policy shocks varies between countries, and the strength of the relationship between house prices and monetary policy can be associated with financial liberalization. On the other hand, evidence shows that interest rate shock plays an important role in explaining recent house price hikes for Australia, Spain, Ireland, the Netherlands, the US, and South Africa. In particular, during 2002–2006, on average 24% of the house price hikes in the US can be attributed to monetary policy shocks. Finally, we also find evidence that central banks react to the housing market, particularly in those countries adopting a policy of inflation targeting.

scholarly journals Monetary Transmission through Interest Rate Channel in Vietnam Before and After the Crisis

2014 ◽  
Vol 222 ◽  
pp. 51-75
Author(s):  
Hương Trầm Thị Xuân ◽  
Vinh Võ Xuân ◽  
CẢNH NGUYỄN PHÚC
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Monetary Transmission ◽  
Var Model ◽  
Macroeconomic Theory ◽  
Cost Channel ◽  
Before And After ◽  
The Cost ◽  
The Impact ◽  
Interest Rate Channel

The paper employs the VAR model to examine the impact of monetary policy on the economy through interest rate channel (IRC) and levels of transmission before and after the 2008 crisis. The results indicate that in the period before the financial crisis, IRC exists in accordance with macroeconomic theory; however, the crisis period, in which increases in SBV monetary policy rates lead to increased inflation, has proved the existence of the cost channel of monetary transmission in Vietnam.

scholarly journals MONETARY POLICY, HOUSING BOOMS, AND FINANCIAL (IM)BALANCES

2012 ◽  
Vol 17 (4) ◽  
pp. 830-860 ◽  
Author(s):  
Sandra Eickmeier ◽  
Boris Hofmann
Keyword(s):  
Monetary Policy ◽  
Private Sector ◽  
Global Financial Crisis ◽  
House Prices ◽  
Monetary Policy Shocks ◽  
Balance Sheets ◽  
Vector Autoregressive ◽  
Policy Shocks ◽  
The Global Financial Crisis

This paper applies a factor-augmented vector autoregressive model to U.S. data with the aim of analyzing monetary transmission via private sector balance sheets, credit risk spreads, and house prices and of exploring the role of monetary policy in the housing and credit boom prior to the global financial crisis. We find that monetary policy shocks have a persistent effect on house prices, real estate wealth, and private sector debt and a strong short-lived effect on risk spreads in money and mortgage markets. Moreover, the results suggest that monetary policy contributed considerably to the unsustainable precrisis developments in housing and credit markets. Although monetary policy shocks contributed discernibly at a late stage of the boom, feedback effects of other (macroeconomic and financial) shocks via lower policy rates kicked in earlier and appear to have been considerable.

scholarly journals Monetary Policy Effects on Energy Sector Bubbles

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Petre Caraiani ◽  
Adrian Călin
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Asset Prices ◽  
The United States ◽  
Energy Sector ◽  
Monetary Policy Shocks ◽  
Policy Shocks ◽  
The Difference ◽  
The Interest Rate ◽  
The Impact

We investigate the effects of monetary policy shocks, including unconventional policy measures, on the bubbles of the energy sector, for the case of the United States. We estimate a time-varying Bayesian VAR model that allows for quantifying the impact of monetary policy shocks on asset prices and bubbles. The energy sector is measured through the S&P Energy Index, while bubbles are measured through the difference between asset prices and the corresponding dividends for the energy sector. We find significant differences in the impact of monetary policy shocks for the aggregate economy and for the energy sector. The findings seem sensitive to the interest rate use, i.e., whether one uses the shadow interest rate or the long-term interest rate.

scholarly journals Comparative Analysis of Monetary Policy Shocks and Exchange Rate Fluctuations in Nigeria and South Africa

2018 ◽  
Vol 9 (6) ◽  
pp. 199
Author(s):  
Sulaiman L. A. ◽  
Lawal N. A. ◽  
Migiro S. O.
Keyword(s):  
South Africa ◽  
Monetary Policy ◽  
Exchange Rate ◽  
Comparative Analysis ◽  
Interest Rate ◽  
Monetary Policy Shocks ◽  
Exchange Rate Fluctuations ◽  
The World ◽  
Policy Shocks ◽  
Short Run

The study examined a comparative analysis of monetary policy shocks and exchange rate fluctuations based on evidence from the two largest economies in Africa (Nigeria and South Africa) – from 1985 to 2015. Data were derived from various sources which include the National Bureau of Statistics, the Central Banks reports and the World Bank database. Vector Autoregressive (VAR) Analysis was used as the estimation technique. The results indicated that the foreign interest rate in South Africa had higher variations in the short-run. While in the long-run, foreign interest rate has higher percentage variations to exchange rate. In Nigeria the world oil price has the higher influence on exchange rate both in the short-run and longrun periods. Based on these results, the study then recommended that the monetary authorities and policymakers in both countries encourage external currency inflows into the economy.  

Monetary policy influences in Australian housing markets

2015 ◽  
Vol 8 (2) ◽  
pp. 265-286 ◽  
Author(s):  
Gregory Costello ◽  
Patricia Fraser ◽  
Garry MacDonald
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
House Prices ◽  
Housing Markets ◽  
Empirical Method ◽  
Capital City ◽  
Monetary Policy Shocks ◽  
Content Type ◽  
Policy Shocks ◽  
The Impact

Purpose – This paper aims to analyze the impact of common monetary policy shocks on house prices at national and capital city levels of aggregation, using Australian data and the Lastrapes (2005) two-part structural vector autoregressive (SVAR) empirical method. Design/methodology/approach – The Lastrapes (2005) two-part SVAR empirical method is applied to Australian housing market and macroeconomic data to assess the impact of common monetary policy shocks on house prices. Findings – Results show that while the impact of shocks to interest rates on aggregate house prices is almost neutral, the responses of state capital city house prices to the same shock can exhibit significant asymmetries. Originality/value – This paper contributes to the monetary policy–asset price debate by examining the influence of Australian monetary policy on capital city housing markets over the period 1982-2012. To the authors’ knowledge, this is the first empirical study that has adapted this Lastrapes (2005) methodology to the analysis of housing markets.

scholarly journals Monetary Policy Shocks in the Russian Economy and Their Macroeconomic Effects

2019 ◽  
Vol 14 (4) ◽  
pp. 48-75
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Empirical Evidence ◽  
Monetary Policy Shocks ◽  
Interest Rate Policy ◽  
Russian Economy ◽  
Policy Shocks ◽  
Rate Policy ◽  
The Interest Rate

This section conducts an estimate of the impulse response function of key macroeconomic variables to monetary policy shocks in Russia. The estimates are carried out through a dynamic factor model (DFM) of the Russian economy with structural identification of shocks by imposing various sets of sign restrictions on the behavior of endogenous variables. We restricted first the monetary aggregate M2 only (a decrease in response to an increase of the Key rate), and then—simultaneously—M2, real effective exchange rate (an increase), and GDP (a decrease). We estimated the DFM using a large dataset of 58 macroeconomic and financial variables. The estimation results suggest that there is no decreasing response of consumer prices to an exogenous tightening of the interest rate policy of the Central Bank of Russia. This empirical evidence is supported implicitly by DFM-based predictions that under the imposition of such a decreasing response as an identifying restriction to the model, a positive interest rate shock is not transmitted through the interest rate channel of monetary policy to expected increases of the interest rates on commercial loans and private deposits. However, existing empirical evidence refutes this model-based result. Therefore, this study supports the view according to which a tightening of monetary policy in Russia is inefficient in terms of restraining inflation. In addition, monetary policy shocks negatively affect investments, retail sales, export and import, real wages, and employment. Different economic activities react differently to monetary policy shocks: export-oriented activities are not sensitive to these shocks, whereas domestic pro-cyclical activities (e.g. construction) can be substantially depressed in response to unexpected increases of interest rates. Finally, the expectations of economic agents are also significantly affected by shocks in the interest rate policy of the Bank of Russia.

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