scholarly journals House prices and the macroeconomic environment in Turkey: The examination of a dynamic relationship

2017 ◽  
Vol 62 (215) ◽  
pp. 81-110 ◽  
Author(s):  
Mustafa Yıldırım ◽  
Mehmet İvrendi
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Housing Market ◽  
House Prices ◽  
Real Economy ◽  
Vector Autoregressive ◽  
Share Prices ◽  
Dynamic Relationship ◽  
Turkish Economy ◽  
Market Variables

The aim of this paper is to examine the dynamic relationship between house prices, income, interest rates, housing permits, and share prices in Turkey, using Structural Vector Autoregressive (SVAR) models. This paper uses both monthly and quarterly data for the Turkish economy and applies four different SVAR models to reveal this dynamic relationship over the 2003-2016 period. The results show statistically significant and substantial relationships between the variables. The analysis also shows that house prices and housing permits as housing market variables are very sensitive to monetary policy and income shocks. The key finding of the study for policymakers is that a change in mortgage rates is the factor that most changes house prices. The study also shows that the housing market plays an important role in transferring monetary policy to the real economy in Turkey.

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 Fiscal-Monetary-Financial Stability Interactions in a Data-Rich Environment

2018 ◽  
Vol 18 (3) ◽  
pp. 195-224 ◽  
Author(s):  
Martin Hodula ◽  
Lukáš Pfeifer
Keyword(s):  
Monetary Policy ◽  
Systemic Risk ◽  
Financial Stability ◽  
House Prices ◽  
Empirical Support ◽  
Financial Sector ◽  
Economic Policies ◽  
Real Economy ◽  
Monetary Policies ◽  
Fiscal And Monetary Policy

Abstract In this paper, we shed some light on the mutual interplay of economic policy and the financial stability objective. We contribute to the intense discussion regarding the influence of fiscal and monetary policy measures on the real economy and the financial sector. We apply a factor-augmented vector autoregression model to Czech macroeconomic data and model the policy interactions in a data-rich environment. Our findings can be summarized in three main points: First, loose economic policies (especially monetary policy) may translate into a more stable financial sector, albeit only in the short term. In the medium term, an expansion-focused mix of monetary and fiscal policy may contribute to systemic risk accumulation, by substantially increasing credit dynamics and house prices. Second, we find that fiscal and monetary policy impact the financial sector in differential magnitudes and time horizons. And third, we confirm that systemic risk materialization might cause significant output losses and deterioration of public finances, trigger deflationary pressures, and increase the debt service ratio. Overall, our findings provide some empirical support for countercyclical fiscal and monetary policies.

The Monetary Policy Impact on the Dynamics of Russia’s Real Economy

2017 ◽  
Vol 2017 (3) ◽  
pp. 80-108
Author(s):  
Marina Tiunova
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Real Economy ◽  
Structural Vector Autoregression ◽  
Real Wages ◽  
Vector Autoregression Model ◽  
Real Gdp ◽  
Negative Effect ◽  
Autoregression Model ◽  
Exchange Rate Shocks

The article examines the influence of monetary policy of the Bank of Russia on the dynamics of real GDP and its components, real wages and employment from 2003 to 2016. Using the Bayesian structural vector autoregression model (BSVAR) with recent dataset, the paper provides the calculation of the extent of changes in the main Russia’s real sector indicators in response to monetary policy, money base and exchange rate shocks. The analysis allows to conclude that monetary policy leads to real variables changes in Russia. The expected contractionary monetary policy of the Central Bank of Russia with higher interest rates had a statistically valid weak negative effect on real indicators.

Are regional house prices stationary in Iran? New evidence using Fourier quantile unit root test

2019 ◽  
Vol 12 (5) ◽  
pp. 849-864
Author(s):  
Arash Hadizadeh
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
Unit Root ◽  
House Prices ◽  
Housing Prices ◽  
Unit Root Test ◽  
Generalized Least Squares ◽  
Main Concern ◽  
Content Type ◽  
Positive Effects

Purpose In the Iranian economy, investing in the housing market has been very important and beneficial for investors and households, because of inflationary environment, low real interest rates, underdeveloped financial and tax systems and economic sanctions. Hence, prediction of house prices is the main concern of housing market agents in the economy. The purpose of this paper is to test the stationary properties of Iran's provinces to improve the prediction of future housing prices. Design/methodology/approach In this paper, the authors have tested the stationary properties of 20 Iran’s province centers over the period from 1993 to 2017 using a novel Fourier quantile unit root test and conventional ordinary/generalized least squares (O/GLS) linear unit root/stationary tests. Findings According to conventional O/GLS linear unit root/stationary tests, most of the house prices series exhibit random walk behavior, whereas by applying the Fourier quantile unit root test, the null hypothesis of unit root is rejected for 15 out of 20 series. Other results indicated that house prices of cities responded differently to positive and negative shocks. Originality/value Previous studies only addressed conventional OLS or GLS linear unit root or stationary tests, but novel Fourier quantile unit root test was not used. New results were obtained based on this unit root test, that, as a priori knowledge, will help benefiting from the positive effects, or avoiding being victimized by the negative effects.

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 Is there a bubble in the Swedish housing market?

2019 ◽  
Vol 12 (1) ◽  
pp. 32-61 ◽  
Author(s):  
Maher Asal
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
House Prices ◽  
Test Procedure ◽  
Unit Root Test ◽  
Housing Price ◽  
User Cost ◽  
Return To Equilibrium ◽  
Content Type ◽  
Factors Affecting

Purpose This paper aims to investigate the presence of a housing bubble using Swedish data from 1986Q1-2016Q4 by using various methods. Design/methodology/approach First, the authors use affordability indicators and asset-pricing approaches, including the price-to-income ratio, price-to-rent ratio and user cost, supplemented by a qualitative discussion of other factors affecting house prices. Second, the authors use cointegration techniques to compute the fundamental (or long-run) price, which is then compared with the actual price to test the degree of Sweden’s housing price bubble during the studied period. Third, they apply the univariate right-tailed unit root test procedure to capture bursting bubbles and to date-stamp bubbles. Findings The authors find evidence for rational housing bubbles with explosive behavioral components beginning in 2004. These bubbles do not continuously diverge but instead periodically revert to their fundamental value. However, the deviation is persistent, and without any policy correction, it takes decades for real house prices to return to equilibrium. Originality/value The policy implication is that monetary policy designed to contain mortgage demand and thereby prevent burst episodes in the housing market must address external imbalances, as revealed in real exchange rate undervaluation. It is unlikely that current policies will stop the rise of house prices, as the growth of mortgage credit, improvement in Sweden’s international competitiveness and the path of interest rates are much more important factors.

scholarly journals Interest rates and prices causality in the Czech Republic – Granger approach

2009 ◽  
Vol 55 (No. 7) ◽  
pp. 347-356 ◽  
Author(s):  
J. Poměnková ◽  
S. Kapounek
Keyword(s):  
Monetary Policy ◽  
Czech Republic ◽  
Interest Rate ◽  
Interest Rates ◽  
Inflation Rate ◽  
Aggregate Demand ◽  
Real Economy ◽  
Investment Activity ◽  
The Czech Republic ◽  
The Interest Rate

Monetary policy analysis concerns both the assumptions of the transmission mechanism and the direction of causality between the nominal (i.e. the money) and real economy. The traditional channel of monetary policy implementation works via the interest rate changes and their impact on the investment activity and the aggregate demand. Altering the relationship between the aggregate demand and supply then impacts the general price level and hence inflation. Alternatively, the Post-Keynesians postulate money as a residual. In their approach, banks credit in response to the movements in investment activities and demand for money. In this paper, the authors use the VAR (i.e. the vector autoregressive) approach applied to the “Taylor Rule” concept to identify the mechanism and impact of the monetary policy in the small open post-transformation economy of the Czech Republic. The causality (in the Granger sense) between the interest rate and prices in the Czech Republic is then identified. The two alternative modelling approaches are tested. First, there is the standard VAR analysis with the lagged values of interest rate, inflation and economic growth as explanatory variables. This model shows one way causality (in the Granger sense) between the inflation rate and interest rate (i.e. the inflation rate is (Granger) caused by the lagged interest rate). Secondly, the lead (instead of lagged) values of the interest rate, inflation rate and real exchange rate are used. This estimate shows one way causality between the inflation rate and interest rate in the sense that interest rate is caused by the lead (i.e. the expected future) inflation rate. The assumptions based on money as a residual of the economic process were rejected in both models.

scholarly journals The Effects of Money Supply and Interest Rates on Stock Prices, Evidence from Two Behavioral Experiments

2021 ◽  
Vol 8 (2) ◽  
pp. 33
Author(s):  
Christian A. Conrad
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Prices ◽  
Positive Impact ◽  
Real Economy ◽  
Behavioral Experiments ◽  
The Impact

What is the impact of interest rate and monetary policy on the stock market? Some studies find a positive impact of expansive monetary policy on stock prices others prove the opposite. This paper examines the effects of monetary expansion and interest rate changes on investment behavior on the stock market by illustrating two behavioral experiments with students. In our experiments the increase of money supply and the decrease of interest rates had a direct positive impact on share prices. These findings support the hypothesis that extreme expansive monetary policy with low, zero or negative interest rates encourage financial bubbles on the stock market. To avoid a crash the exit from such a policy must be slow. As happened in 1929, crashes can damage the financial system and the real economy. Central banks must take this into account in their monetary policy.

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