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 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 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.

Three essays on monetary and financial economics

2018 ◽  
Author(s):  
◽  
Xueli Cao
Keyword(s):  
Monetary Policy ◽  
Institutional Investors ◽  
Asset Prices ◽  
Institutional Ownership ◽  
Spillover Effects ◽  
Multivariate Garch ◽  
Time Varying ◽  
Monetary Policy Shocks ◽  
Conference Call ◽  
Policy Shocks

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This three-chapter dissertation focuses on the research topics in Monetary and Financial Economics. The first paper examines the time-varying impact of U.S. monetary policy shocks on asset prices. The monetary policy shock is identified using robust sign restrictions in a time-varying factor-augmented VAR (TVP-FAVAR). Time variations are found in both the variance of policy shocks and transmission to asset prices. The relative importance of monetary policy shocks rise significantly over time although the shock size of monetary policy shocks has declined in the sample. In terms of transmission mechanism, asset prices are more responsive in the latter part of the sample (post-1984Q1) when normalizing the shock size. We also document the effects of monetary policy on asset prices are significantly larger for recessionary periods. Finally, the paper also identifies the role of demand and supply shocks in determining the movements of asset prices. In the second paper, I investigate the spillover effects between the Growth Enterprises Market (GEM) and the Main Board stock market in China. Specifically, a multivariate GARCH model and a multivariate GARCH-in-mean model are estimated using daily data for the GEM Board and the Main Board over period June 1, 2010 - December 31, 2016. The results indicate that the Main Board leads the GEM Board in the first order and there is no mean overflow from the GEM Board to the Main Board. However, the quantile dependence, measured by cross-quantilogram, shows that there are asymmetry distributional spillover effects from the GEM Board to the Main Board. From the point of view of volatility, the GEM Board has effects on the Main Board, and it lasts a period of time in the future. The volatility of the GEM also affects the return of the Main Board negatively. Lastly, the GEM has a one-way effect on the Main Board in illiquidity. In the third paper, we document the effects of institutional investors on the qualitative information disclosure of earnings conference calls. Utilizing conference call and institutional ownership data between 2005 and 2016, we find that aggregate institutional ownership dampens conference call tone. The effects of institutional investors on tone are causal based on results from indexed firms. Consistent with hypotheses regarding investors horizon, short-term institutional investors are associated with greater conference call tone, as well as potentially opportunistic trading, while long-term investors decrease tone. Market participants can generally disentangle the impact of institutional investors on tone based on investor type.

TRANSMISSION OF MONETARY POLICY SHOCKS: DO INPUT–OUTPUT INTERACTIONS MATTER?

2019 ◽  
Vol 24 (8) ◽  
pp. 1881-1903
Author(s):  
Aarti Singh ◽  
Stefano Tornielli Di Crestvolant
Keyword(s):  
Monetary Policy ◽  
Spillover Effects ◽  
Intermediate Goods ◽  
Input Output ◽  
Monetary Policy Shocks ◽  
Vector Autoregressive ◽  
Policy Shocks ◽  
Monetary Policy Shock ◽  
New Evidence ◽  
Transmission Of Monetary Policy

We examine whether input–output interactions among industries impact the transmission of monetary policy shocks through the economy. Using vector autoregressive (VAR) methods we find evidence of heterogeneity in the output response to a monetary policy shock in both finished goods industries and intermediate goods industries. While output responses in finished goods industries can be related to heterogeneity in industry characteristics, this relationship is not so obvious for intermediate goods industries. For the intermediate goods industries in our sample, we find new evidence of demand-spillover effects that impact the transmission of monetary policy via input–output linkages.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document