scholarly journals House Price Forecasting from Investment Perspectives

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1009
Author(s):  
Song Shi ◽  
Vince Mangioni ◽  
Xin Janet Ge ◽  
Shanaka Herath ◽  
Fethi Rabhi ◽  
...  
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
House Prices ◽  
House Price ◽  
Bank Lending ◽  
Market Dynamics ◽  
Correction Model ◽  
Investment Theory ◽  
Investment Demand ◽  
Long Run

Housing market dynamics have primarily shifted from consumption- to investment-driven in many countries, including Australia. Building on investment theory, we investigated market dynamics by placing investment demand at the center using the error correction model (ECM). We found that house prices, rents, and interest rates are cointegrated in the long run under the present value investment framework. Other economic factors such as population growth, unemployment, migration, construction activities, and bank lending were also important determinants of the housing market dynamics. Our forecasting results show that the Sydney housing market will continue to grow with no significant price decline in the foreseeable future.

scholarly journals International Real Estate Review

2012 ◽  
Vol 15 (1) ◽  
pp. 1-42
Author(s):  
Heeho Kim ◽  
◽  
SaeWoon Park ◽  
Sun Hye Lee ◽  
◽  
...  
Keyword(s):  
House Prices ◽  
House Price ◽  
Bank Lending ◽  
Government Policies ◽  
High Price ◽  
Subprime Crisis ◽  
Long Run ◽  
Short Run ◽  
Price Escalation ◽  
Housing Submarket

This paper studies the abnormal price behavior of Kangnam, a premium (high price) housing submarket in Seoul, Korea, which addresses the correlation between house prices, bank lending, and other factors, including income. Kangnam experienced the most dramatic price escalation during the study period (1999-2009) despite Korean government policies to stabilize house prices in 2005 and the U.S. subprime crisis in 2008. The empirical result shows that even though the house price in a premium market is, to some degree, positively influenced by income, it is not affected by bank lending in the short-run while negatively affected in the long-run. This suggests that a premium housing submarket has a peculiar price dynamics of its own unlike the other submarkets which seem to comply more or less with our notion of a general economic theory, especially in terms of house prices and bank lending.

Real House Prices in the UK

2011 ◽  
Vol 216 ◽  
pp. F62-F68 ◽  
Author(s):  
Ray Barrell ◽  
Simon Kirby ◽  
Rachel Whitworth
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
House Prices ◽  
Consumer Welfare ◽  
Best Interests ◽  
Long Run ◽  
Nominal Interest Rates ◽  
Cyclical Pattern ◽  
Income Ratio ◽  
The Uk

The housing market plays a fundamental role in the economy, and its functioning affects both consumer welfare and economic stability, as the recent crisis has made clear. Research by Barrell et al. (2010) shows that house prices are a key determinant of financial crisis probabilities in OECD economies, and contribute significantly towards systemic banking risk. This must lead the regulator to assess carefully the role of the housing market in this relationship, and if necessary impose regulatory restrictions on the market so as to ensure it functions in a way that reflects the best interests of the economy. In this note we look at the evolution of real house prices in the UK, noting that they have a strong cyclical pattern. We then look at the factors that might affect the evolution of real house prices, and we estimate a dynamic equation describing those prices. After considering a wide set of factors, we demonstrate that there is little role for the supply of housing relative to the number of households. This may be because the ratio of these two variables has been relatively constant over the past thirty years. We show that real borrowing costs, real incomes and the loan-to-income ratio are significant factors determining the long-run path of real house prices, and that front loading problems from high short-term nominal interest rates affect the path of adjustment. Overvaluations can persist for years, and we would judge that real house prices are currently fundamentally overvalued by around 10 per cent. If loan-to-income ratios are reduced then the fundamental overvaluation will increase, and such a policy will put further downward pressure on real house prices.

scholarly journals Speculative housing markets and rent control: insights from nonlinear economic dynamics

2021 ◽  
Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff
Keyword(s):  
Housing Market ◽  
Housing Stock ◽  
House Price ◽  
Housing Markets ◽  
Market Model ◽  
Market Dynamics ◽  
Rent Control ◽  
Forecasting Accuracy ◽  
Expectation Formation ◽  
Rent Level

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.

scholarly journals The role and significance of planning in the determination of house prices in Australia: Recent policy debates

2021 ◽  
pp. 0308518X2198894
Author(s):  
Peter Phibbs ◽  
Nicole Gurran
Keyword(s):  
Land Use ◽  
Housing Market ◽  
Land Use Planning ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Evidence Base ◽  
Urban Housing ◽  
Price Inflation ◽  
Depth Analysis

On the world stage, Australian cities have been punching above their weight in global indexes of housing prices, sparking heated debates about the causes of and remedies for, sustained house price inflation. This paper examines the evidence base underpinning such debates, and the policy claims made by key commentators and stakeholders. With reference to the wider context of Australia’s housing market over a 20 year period, as well as an in depth analysis of a research paper by Australia’s central Reserve Bank, we show how economic theories commonly position land use planning as a primary driver of new supply constraints but overlook other explanations for housing market behavior. In doing so, we offer an alternative understanding of urban housing markets and land use planning interventions as a basis for more effective policy intervention in Australian and other world cities.

Superstar Cities

2013 ◽  
Vol 5 (4) ◽  
pp. 167-199 ◽  
Author(s):  
Joseph Gyourko ◽  
Christopher Mayer ◽  
Todd Sinai
Keyword(s):  
Metropolitan Area ◽  
Metropolitan Areas ◽  
House Prices ◽  
Aggregate Demand ◽  
House Price ◽  
Lower Income ◽  
Local Factors ◽  
The Past ◽  
Long Run ◽  
Price Appreciation

We document large long-run differences in average house price appreciation across metropolitan areas over the past 50 years, and show they can be explained by an inelastic supply of land in some unique locations combined with an increasing number of highincome households nationally. The resulting high house prices and price-to-rent ratios in those “superstar” areas crowd out lower income households. The same forces generate a similar pattern among municipalities within a metropolitan area. These facts suggest that disparate local house price and income trends can be driven by aggregate demand, not just changes in local factors such as productivity or amenities. (JEL R11, R23, R31, R52)

A multifractal detrended fluctuation analysis of housing market: a role of financial crises in developed economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Ali Raza ◽  
Nida Shah ◽  
Muhammad Tahir Suleman ◽  
Md Al Mamun
Keyword(s):  
Financial Crisis ◽  
Housing Market ◽  
Market Efficiency ◽  
House Price ◽  
Fluctuation Analysis ◽  
Content Type ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Long Run ◽  
Before And After

Purpose This study aims to examine the house price fluctuations in G7 countries by using the multifractal detrended fluctuation analysis (MF-DFA) for the years 1970–2019. The study examined the market efficiency between the short-term and long-term in the full sample period, before and after the global financial crisis period. Design/methodology/approach This study uses the MF-DFA to analyze house price fluctuations. Findings The findings confirmed that the housing market series are multifractal. Furthermore, all the markets showed long-term persistence in both the short and long-term. The USA is identified as the most persistent house market in the short run and Japan in the long run. Moreover, in terms of efficiency, Canada is identified as the most efficient house market in the long run and the UK in the short run. Finally, the result of before and after the financial crisis period is consistent with the full sample result. Originality/value The contribution of this study in the literature is fourfold. This is the first study that has examined the house prices efficiency by using the MF-DFA technique given by Kantelhardt et al. (2002). Previously, the house market prices and efficiency has been investigated using generalized Hurst exponent (Liu et al., 2019), Quantile Regression Approach (Chae and Bera, 2019; Tiwari et al., 2019) but no study to the best of the knowledge has been done that has used the MF-DFA technique on the housing market. Second, this is the first study that has focused on the house markets of G7 countries. Third, this study explores the house market efficiency by dividing the market into two periods i.e. before and after the financial crisis. The study strives to investigate if the financial crisis determines the change in the degree of market efficiency or not. Finally, the study gives valuable insights to the investors that will help them in their investment decisions.

scholarly journals Agglomeration effects and housing market dynamics

2021 ◽  
Author(s):  
Christian Nygaard ◽  
Sharon Parkinson ◽  
margaret reynolds
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Market Dynamics ◽  
Agglomeration Effects

This research quantifies productivity-related agglomeration benefits arising from the concentration of employment in Australia. While agglomeration provides a policy rationale for densifying cities and concentrating employment, it also leads to higher house prices, which reduce entry and ongoing affordability, greater pollution and other wellbeing detriments such as crime, crowding and noise.

scholarly journals Analysis The Effect of Electronic Money Use on Velocity of Money: Evidence from Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 42
Author(s):  
Sufi Azhari Pambudi ◽  
M. Khoerul Mubin
Keyword(s):  
Interest Rates ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Research Approach ◽  
Electronic Money ◽  
Correction Model ◽  
Income Levels ◽  
Long Run ◽  
Velocity Of Money

This study aims to examine the effect of electronic money transactions on the velocity of money in Indonesia. This study uses a quantitative research approach using quarterly time series data for the 2010q1-2018q4 period. Using variable velocity obtained from Gross Domestic Product (GDP) divided by M2, electronic money transactions, GDP per capita, and interest rates using the Error Correction Model (ECM) method. The results show that in the long run variable electronic money transactions, income levels and interest rates are significantly positive. In the short term, interest rates and income levels are significantly positive, while electronic money transactions only have a slight effect on the velocity of moneyin Indonesia.

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.

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