An Empirical Study on the Contribution of Interest Rates to Housing Prices

2021 ◽  
Vol 29 (4) ◽  
pp. 75-100
Author(s):  
Jinbaek Park ◽  
Taly I ◽  
Minjoon Oh
Keyword(s):  
Empirical Study ◽  
Interest Rates ◽  
Housing Prices

The impact of interest rates upon housing prices: an empirical study of Hong Kong’s market

2003 ◽  
Vol 21 (2) ◽  
pp. 153-170 ◽  
Author(s):  
Tak Yun Joe Wong ◽  
Chi Man Eddie Hui ◽  
William Seabrooke
Keyword(s):  
Empirical Study ◽  
Interest Rates ◽  
Housing Prices ◽  
The Impact

scholarly journals PENGARUH VARIABEL EKONOMI MAKRO TERHADAP PEMBIAYAAN PERBANKAN SYARIAH PERIODE 2010-2018

2021 ◽  
Vol 24 (1) ◽  
pp. 9-15
Author(s):  
Jie Novita
Keyword(s):  
Empirical Study ◽  
Interest Rates ◽  
Least Square ◽  
Quantitative Approach ◽  
Islamic Banking ◽  
Macroeconomic Variables ◽  
Ordinary Least Square ◽  
Bank Financing ◽  
Independent Variable ◽  
Repo Rate

The purpose of the research is to examine and analyze the effect of macroeconomic variables GDP and inflation on Islamic banking financing in Indonesian. Islamic bank financing is the dependent variable, whereas GDP, reference interest rates, and inflation are the independent variable. The data used is Islamic banking financing, GDP, reference interest rates, and inflation in Indonesian from 2010-1018. This empirical study uses a quantitative approach and method of OLS (Ordinary Least Square). The results of this research indicate that the GDP variable has positive and statistically significant effect on Islamic banking financing, the variable reference interest rates (BI Rate and BI Rate 7days Repo Rate) have negative and statistically significant effect on Islamic banking financing, the inflation variable has positive and statistically significant effect on Islamic banking financing.

scholarly journals Influence and Factors of Interest rates on Housing Prices

2018 ◽  
Vol 2 ◽  
pp. 5-39
Author(s):  
Namhyun Kim ◽  
Han Ik Jang
Keyword(s):  
Interest Rates ◽  
Housing Prices

scholarly journals Liquidity, interest rates and house prices in the euro area: a DSGE analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 4-25 ◽  
Author(s):  
Margarita Rubio ◽  
José A. Carrasco-Gallego
Keyword(s):  
Interest Rates ◽  
Monetary Union ◽  
Euro Area ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Dsge Model ◽  
Content Type ◽  
The Core ◽  
Dynamic Stochastic

Purpose This study aims to build a two-country monetary union dynamic stochastic general equilibrium (DSGE) model with housing to assess how different shocks contributed to the increase in housing prices and credit in the European Economic and Monetary Union. One of the countries is calibrated to represent the core group in the euro area, while the other one corresponds to the periphery. Design/methodology/approach In this paper, the authors explore how a liquidity shock (or a decrease in the interest rate) affects house prices and the real economy through the asset price and the collateral channel. Then, they analyze how a house price shock in the periphery and a technology shock in the core countries are transmitted to both economies. Findings The authors find that a combination of an increase in liquidity in the euro area coming from the common monetary policy, together with asymmetric house price and technology shocks, contributed to an increase in house prices in the euro area and a stronger credit growth in the peripheral economies. Originality/value This paper represents the theoretical counterpart to empirical studies that show, through macroeconometric models, the interrelation between liquidity and other shocks with house prices. Using a DSGE model with housing, the authors disentangle the mechanisms behind these empirical findings.

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 Is the High Interest Rate Combined with Intense Deleveraging Campaign Desirable? A Collateral Mechanism under Stringent Credit Constraints

2018 ◽  
Vol 10 (12) ◽  
pp. 4803 ◽  
Author(s):  
Qiuyi Yang ◽  
Youze Lang ◽  
Changsheng Xu
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Banking Sector ◽  
Housing Prices ◽  
Policy Implications ◽  
Shadow Banking ◽  
High Interest Rate ◽  
Asset Bubbles ◽  
Collateral Constraints ◽  
High Level

Recently, China has witnessed a continuously increasing Debt-to-GDP ratio and a vigorously expanding shadow banking sector. Housing prices hovering at a high level seriously affect the lives of ordinary residents. Disappointingly, a variety of activities such as intense deleveraging campaigns and tight monetary controls produce little effect. Why do these seemingly rightful implementations hardly work? What should governments do to stop the incessant expansion of asset bubbles? What role ought financial supervisors to play in regulating credit markets and facilitating a sustainable and inclusive economic growth? This paper sets off from the pledgeability of asset bubbles and constructs a generalized overlapping generation (OLG) model incorporating financial frictions and collateral constraints, in order to explore the bubble evolution under the alterations of market interest rates and credit conditions. The results show a unique bubble equilibrium, in which the steady-state bubble size expands when interest rate increases. Numerical results further reveal that the bubble-inflation effect of a higher interest rate is reinforced by a more stringent collateral constraint. Our research contributes to an explanation of the inefficacy of present policies and provides the following policy implications: The combination of an interest rate elevation and a strong loan restriction is in fact undesirable for suppressing asset bubbles. Not merely does it strike productivity and capital formation, but it also fosters investors to hold more risky assets to solve liquidity shortage under constrained borrowing capacity.

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