scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (3) ◽  
pp. 397-416
Author(s):  
William Miles ◽  
Keyword(s):  
House Prices ◽  
Data Set ◽  
Nonlinear Adjustment ◽  
Stable Relationship ◽  
Home Prices ◽  
Long Run ◽  
Income Ratio ◽  
The Uk ◽  
First Time ◽  
The Relationship

Asset prices and fundamentals can move apart, as is the case during bubble episodes. However, they should exhibit a stable relationship in the long run. For UK housing, previous studies have investigated whether house prices share a long run relationship with income. Results thus far have not yet found such stability in the interaction of the two variables. These previous papers have imposed linear adjustment on the relationship. Nonlinear adjustment, however, has been shown to be a feature in a number of housing market relationships. In this study, we utilize a data set that consists of home prices relative to first time buyer income for the UK and its twelve constituent regions, which gives us a direct measure of affordability. We test for the stationarity of the home price/first time buyer income ratio with linear tests, and, as in past studies, fail to find a long run relationship. However, we then employ a nonlinear test, and find a stationary relationship for the UK and seven of the twelve regions. In particular, the regions closest to London appear most clearly to have a stationary relationship between home prices and income.

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.

Home prices and fundamentals: solving the mystery for the G-7 by accounting for nonlinearities

2019 ◽  
Vol 13 (2) ◽  
pp. 299-315
Author(s):  
William Miles
Keyword(s):  
House Prices ◽  
Adjustment Process ◽  
Content Type ◽  
Stable Relationship ◽  
Home Prices ◽  
Long Run ◽  
The Usa ◽  
Standard Linear ◽  
Home Values ◽  
Adf Test

Purpose The purpose of this study is to determine whether house prices and income share a stable, stationary relationship in the G-7 countries. This stable relationship has been clearly implied by theory but has been difficult to uncover empirically in previous studies. Design/methodology/approach The analysis entails using nonlinear tests for a stationary relationship between home prices and per-capita income for the G-7 countries, whereas most previous papers on the topic have used linear methods. Findings When the standard linear ADF test is used, no stationary relationship for home prices and income is found for any of the G-7 countries. When the more powerful (but still linear) Ng–Perron test is used, the USA, but no other G-7 country, exhibits a stable relationship between the two variables. When the nonlinear Enders–Granger test is used, stationarity between home prices and income is found for five of the remaining six G-7 states. Practical implications Previous research has shown that as house prices have risen far above the income, especially over bubble periods, income has done a poor job in predicting home values. The findings show that income has a clear long-run stationary relationship with home values. This implies income could be helpful in providing home price forecasts. Originality/value Where previous studies have failed to find a long-run relationship between home prices and income while using linear methods, results in this paper show this theoretical asset–pricing relationship holds once the adjustment process is allowed to exhibit nonlinearity.

scholarly journals The Relationship between Inflation and Interest Rates in the UK: The Nonlinear ARDL Approach

2020 ◽  
Vol 9 (3) ◽  
pp. 77-86
Author(s):  
Ismet Gocer ◽  
Serdar Ongan
Keyword(s):  
Interest Rates ◽  
Fisher Effect ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Inflation Rates ◽  
Ardl Approach ◽  
Nonlinear Ardl Model ◽  
The Uk ◽  
First Time ◽  
The Relationship

AbstractThis study reconsiders the Fisher effect for the UK from a different methodological perspective. To this aim, the nonlinear ARDL model recently developed by Shin et al. (2014), is applied over the periods of 1995M1-2008M9 and 2008M10-2018M1. This model decomposes the changes in original inflation series as two new series: increases and decreases in inflation rates. Hence, it enables us to examine the Fisher effect in terms of increases and decreases in inflation separately. The empirical findings support asymmetrically partial Fisher effects for the UK in the long-run only for the first period. Additionally, this study attempts to describe and introduce a different version of the partial effect concept for the first time for the UK.

scholarly journals Investigating the Links between UK House Prices and Share Prices with Copulas

2021 ◽  
Author(s):  
Rakesh K. Bissoondeeal ◽  
Leonidas Tsiaras
Keyword(s):  
Stock Market ◽  
House Prices ◽  
National Level ◽  
Tail Dependence ◽  
Share Prices ◽  
Property Prices ◽  
Left Tail ◽  
The Uk ◽  
The Relationship ◽  
Shared Characteristic

AbstractWe investigate the nonlinear links between the housing and stock markets in the UK using copulas. Our empirical analysis is conducted at both the national and regional levels. We also examine how closely London house prices are linked to those in other parts of the UK. We find that (i) the dependence between the different markets exhibits significant time-variation, (ii) at the national level, the relationship between house prices and the stock market is characterised by left tail dependence, i.e., they are more likely to crash, rather than boom, together, (iii) although left tail dependence with the stock market is a prominent feature of some regions, it is by no means a universally shared characteristic, (iv) the dependence between property prices in London and other parts of the UK displays widespread regional variations.

scholarly journals Was the Gibson Paradox for real? A Wicksellian study of the relationship between interest rates and prices

2014 ◽  
Vol 21 (2) ◽  
pp. 139-163 ◽  
Author(s):  
Jagjit S. Chadha ◽  
Morris Perlman
Keyword(s):  
Interest Rates ◽  
Positive Relationship ◽  
Formal Model ◽  
Natural Rate ◽  
Market Rate ◽  
Long Run ◽  
Advanced Economies ◽  
The Uk ◽  
Gibson Paradox ◽  
The Relationship

We examine the relationship between prices and interest rates for seven advanced economies in the period up to 1913, emphasising the UK. There is a significant long-run positive relationship between prices and interest rates for the core commodity standard countries. Keynes ([1930] 1971) labelled this positive relationship the ‘Gibson Paradox’. A number of theories have been put forward as possible explanations of the paradox but they do not fit the long-run pattern of the relationship. We find that a formal model in the spirit of Wicksell (1907) and Keynes ([1930] 1971) offers an explanation for the paradox: where the need to stabilise the banking sector's reserve ratio, in the presence of an uncertain ‘natural’ rate, can lead to persistent deviations of the market rate of interest from its ‘natural’ level and consequently long-run swings in the price level.

scholarly journals Untangling the nonlinear “knots” of UK’s housing prices

2019 ◽  
Vol 46 (5) ◽  
pp. 1083-1103
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Housing Prices ◽  
Positive Association ◽  
Research Area ◽  
Content Type ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Short Run ◽  
The Uk

Purpose Housing prices in the UK offer an inspiring, yet a complex and under-explored research area. The purpose of this paper is to investigate the critical factors that affect UK’s housing prices. Design/methodology/approach The authors utilize the recently developed nonlinear ARDL approach of Shin et al. (2014) over the period 1969–2016. Findings The authors find that both the long-run and short-run impact of the price-to-rent (PTR) ratio and credit-to-GDP ratio on house prices (HP) is asymmetric whilst ambiguous results are established for mortgage rates, industrial production and equities. Apart from the novel framework of analysis, this study also establishes a positive association between HP and the PTR ratio which suggests a speculative behaviour and could imply the formation of a housing bubble. Originality/value It is the first study for the UK housing market that explores the underlying fundamental relationships by looking at nonlinearities hence, allowing HP to be tied by asymmetric relationships in the long as well as in the short run. Modelling the inherent nonlinearities enhances significantly the understanding of UK housing market which can prove useful for policymaking and forecasting purposes.

Long-run relationship between investment and maintenance in local governments

Facilities ◽  
2016 ◽  
Vol 34 (11/12) ◽  
pp. 703-722 ◽  
Author(s):  
Arnt O. Hopland
Keyword(s):  
Local Governments ◽  
Reduced Form ◽  
Public Infrastructure ◽  
Data Set ◽  
Content Type ◽  
Vector Autoregressive ◽  
The Past ◽  
Long Run ◽  
The Relationship ◽  
New Infrastructure

Purpose The purpose of the paper is to analyze the relationship between maintenance of existent and investment in new infrastructure in Norwegian local governments. Design/methodology/approach A reduced form vector autoregressive system is estimated using a 29-year-long panel data set for the Norwegian local governments. Findings The data reveal that increased investment in new infrastructure sparks little, if any, increase in maintenance. The results also indicate that increased maintenance expenditures spark new investments. Because more investments mean more infrastructure and adequate maintenance should give that investments are not caused by maintenance, the results suggest that the local governments have not optimized their maintenance scheduling in this period. Originality/value Even though maintenance and investment are large expenditures that both serve as inputs to the stock of infrastructure, little is known about the relationship between the two. The findings in this paper suggests that Norwegian local governments have not planned their maintenance and investments well in the past, and this can be part of the explanation as to why local public infrastructure in Norway is presently in poor condition.

Cointegration-causality analysis between terrorism and key macroeconomic indicators

2014 ◽  
Vol 41 (8) ◽  
pp. 664-682 ◽  
Author(s):  
Aisha Ismail ◽  
Shehla Amjad
Keyword(s):  
Research Work ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
Per Capita ◽  
The Relationship

Purpose – The purpose of this paper is two folds: first, to analyze the long-run relationship between terrorism and key macroeconomic indicators (GDP growth, GDP per capita, inflation and unemployment) and second, to determine the direction of causality between these variables in Pakistan. Design/methodology/approach – The relationship between terrorism and various macroeconomic indicators is analyzed by applying Johansen cointegration analysis. Furthermore, the causality between terrorism and macroeconomic indicators is tested by applying Toda Yamamoto Granger causality test. Findings – The results show that there exists a long-run relationship between terrorism and key macroeconomic indicators. Furthermore, the results suggest that there exists a bi-directional causality between terrorism and inflation. The causality between GDP per capita, unemployment, GDP growth and terrorism is unidirectional. Originality/value – There is a lack of research work conducted to analyze the long-run relationship and direction of causation between terrorism and various macroeconomic indicators specifically for Pakistan. The current paper fills the gap in the literature by using sophisticated econometric techniques and recent data set to provide the evidence of the relationship between terrorism and various macroeconomic indicators.

Consumption and Housing Wealth in the UK

2003 ◽  
Vol 186 ◽  
pp. 53-56 ◽  
Author(s):  
Ray Barrell ◽  
Amanda Choy ◽  
Rebecca Riley
Keyword(s):  
Housing Market ◽  
Asset Prices ◽  
House Prices ◽  
Pension Funds ◽  
Housing Wealth ◽  
The Past ◽  
Equilibrium Ratio ◽  
Net Assets ◽  
The Uk ◽  
The Relationship

Consumption behaviour in the UK is frequently seen as different from that in other countries. The relationship between the housing market and consumption is discussed at length in HM Treasury (2003). The housing market, which has been particularly cyclically volatile in the past 30 years, has contributed to cycles in consumption through its impact on housing wealth. Increased house prices increase the value of assets held, and impact on consumption, making the economy more cyclical. There is a clear relationship between the level of real financial plus housing net wealth as a proportion of income and the savings ratio (excluding adjustment for changes in net equity of households in pension funds), as can be seen from chart 1, where we plot the stock of total net assets over the flow of income to indicate just how much ‘cover’ the personal sector has on its current commitments. When wealth rises, for instance because real asset prices have risen, then individuals find themselves with more assets than they need and increase their consumption in order to return their assets to their equilibrium ratio to income. Clearly this process is not instantaneous, but cycles in wealth driven by house prices could have contributed to the cyclical nature of overall demand in the UK in the past 30 years.

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