scholarly journals Residential House Prices, Commercial Real Estate Lending and Bank Failures

2021 ◽  
Vol 9 (3) ◽  
pp. 362-384
Author(s):  
Gerald A. Hanweck ◽  
Anthony B. Sanders ◽  
Gary S. Fissel
Keyword(s):  
Real Estate ◽  
House Prices ◽  
Banking Crisis ◽  
House Price ◽  
Land Development ◽  
Commercial Real Estate ◽  
Bank Failures ◽  
Mortgage Loans ◽  
Residential House ◽  
Lending Activity

We investigate factors leading to bank failures during and after the Great Recession and banking crisis (2008–2015). The FHFA residential real estate house price index (HPI) for each of the 9 Census regions is used to interact with bank mortgage loans and bank financial statement variables. We find that these variables isolate different regional effects on the likelihood of a bank failing. Since we use changes from region to region, we find that regional location and HPI changes have an effect on banks’ commercial lending activity. Other more traditional and associated factors, like construction and land development lending or multifamily real estate lending, similarly explain bank failures during the main period of the banking crisis. By using this approach we better isolate the relationship between residential house prices and builders’ and land developers’ desire to borrow and the willingness of banks to concentrate portfolio lending in commercial real estate.

scholarly journals Norway

2019 ◽  
Vol 19 (159) ◽  
pp. 1
Author(s):  
Keyword(s):  
Labor Market ◽  
Real Estate ◽  
Prime Minister ◽  
House Price ◽  
Commercial Real Estate ◽  
Terms Of Trade ◽  
Core Inflation ◽  
Advanced Economies ◽  
Price Growth ◽  
Residential House

While many advanced economies are experiencing slower growth, Norway’s output has continued to expand strongly, helped by a robust labor market, positive terms of trade, and some competitiveness gains. Core inflation has picked up to close to 2¼ percent. Residential house price growth has softened significantly but prices remain overvalued, and household debt continues to rise. Commercial real estate risks are also intensifying and combine with mounting external risks to cloud the outlook. The Christian Democrats have recently joined Prime Minister Solberg’s governing coalition, which now enjoys a majority in parliament.

International Real Estate Review

2009 ◽  
Vol 12 (3) ◽  
pp. 193-220
Author(s):  
Karol Jan Borowiecki ◽  
Keyword(s):  
Real Estate ◽  
Positive Impact ◽  
House Prices ◽  
House Price ◽  
Housing Price ◽  
Quality Improvements ◽  
Vector Autoregressive ◽  
Price Growth ◽  
Price Determinants ◽  
A Minor

This paper studies the Swiss housing price determinants. The Swiss housing economy is reproduced by employing a macro- series from the last seventeen years and constructing a vector-autoregressive model. Conditional on a comparatively broad set of fundamental determinants considered, i.e. wealth, banking, demographic and real estate specific variables, the following findings are made: 1) real house price growth and construction activity dynamics are most sensitive to changes in population and construction prices, whereas real GDP, in contrary to common empirical findings in other countries, turns out to have only a minor impact in the short-term, 2) exogenous house price shocks have no long-term impacts on housing supply and vice versa, and 3) despite the recent substantial price increases, worries of overvaluation are unfounded. Furthermore, based on a self-constructed quality index, evidence is provided for a positive impact of quality improvements in supplied dwellings on house prices.

scholarly journals A dynamic model for housing price spillovers with an evidence from the US and the UK markets

2018 ◽  
Vol 2 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Alper Ozun ◽  
Hasan Murat Ertugrul ◽  
Yener Coskun
Keyword(s):  
New York ◽  
Real Estate ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Housing Markets ◽  
Content Type ◽  
Real Estate Markets ◽  
Country Level ◽  
The Us

Purpose The purpose of this paper is to introduce an empirical model for house price spillovers between real estate markets. The model is presented by using data from the US-UK and London-New York housing markets over a period of 1975Q1-2016Q1 by employing both static and dynamic methodologies. Design/methodology/approach The research analyzes long-run static and dynamic spillover elasticity coefficients by employing three methods, namely, autoregressive distributed lag, the fully modified ordinary least square and dynamic ordinary least squares estimator under a Kalman filter approach. The empirical method also investigates dynamic correlation between the house prices by employing the dynamic control correlation method. Findings The paper shows how a dynamic spillover pricing analysis can be applied between real estate markets. On the empirical side, the results show that country-level causality in housing prices is running from the USA to UK, whereas city-level causality is running from London to New York. The model outcomes suggest that real estate portfolios involving US and UK assets require a dynamic risk management approach. Research limitations/implications One of the findings is that the dynamic conditional correlation between the US and the UK housing prices is broken during the crisis period. The paper does not discuss the reasons for that break, which requires further empirical tests by applying Markov switching regime shifts. The timing of the causality between the house prices is not empirically tested. It can be examined empirically by applying methods such as wavelets. Practical implications The authors observed a unidirectional causality from London to New York house prices, which is opposite to the aggregate country-level causality direction. This supports London’s specific power in the real estate markets. London has a leading role in the global urban economies residential housing markets and the behavior of its housing prices has a statistically significant causality impact on the house prices of New York City. Social implications The house price co-integration observed in this research at both country and city levels should be interpreted as a continuity of real estate and financial integration in practice. Originality/value The paper is the first research which applies a dynamic spillover analysis to examine the causality between housing prices in real estate markets. It also provides a long-term empirical evidence for a dynamic causal relationship for the global housing markets.

scholarly journals Homeownership Rate and Other House Price Determinants Impacts on New House Prices in Colombia

2020 ◽  
pp. 35-50
Author(s):  
Hector Botello-Peñaloza
Keyword(s):  
Real Estate ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Real Estate Market ◽  
The Real Estate ◽  
Homeownership Rate ◽  
Colombian Government ◽  
Price Determinants ◽  
Price Instability

Homeownership remains a preferred form of tenancy in different parts of the world. The attractions of security, stability, investment potential and a sense of pride outweigh the fear of price instability. For this reason, the Colombian government has encouraged in recent years, various demand policies that have sought to promote the increase in the number of homeowners. However, these ideas could have a severe impact on prices in the real estate market. Therefore, this study seeks to examine the effect of homeownership rate on new house prices in an emerging country with low real estate ownership, credit restrictions and average per capita income. The study uses panel data model to examine the influence of housing tenancy and other variables on the variation of housing prices in Colombia. Data were obtained from various sources including the Central Bank of Colombia, Financial Superintendence of Colombia, and National Administrative Department of Statistics of Colombia. The results show that homeownership rates have a positive effect on the price of new homes, which supports the hypothesis of the research. The population growth of the cities is the factor that is most relevant when explaining the price variations.

scholarly journals Measuring the Effect of Location on House Prices in Italy

2020 ◽  
pp. 54-62
Author(s):  
Gaetano Lisi ◽  
Mauro Iacobini
Keyword(s):  
Real Estate ◽  
House Prices ◽  
House Price ◽  
Real Estate Market ◽  
Hedonic Model ◽  
Hedonic Price ◽  
Dummy Variables ◽  
Hedonic Price Method ◽  
Housing Submarkets ◽  
Real Estate Assets

The Italian housing market is characterised by both a strong heterogeneity of real estate assets and a reduced number of property sales. These features, indeed, hamper the use of the hedonic price method, namely, the method that is mostly used for assessing the house prices and for estimating the monetary value of housing characteristics. In this paper, therefore, a hedonic model with dummy variables that identify housing submarkets is used to achieve two important results: enabling greater use of multiple regression analysis in the study of the Italian real estate market, and catching, in the simplest possible manner, the effect of location on house price. Indeed, the house's location is, together with the area in square metres, the housing characteristic that most influences the house price.

scholarly journals THE EFFECT OF FOREIGN REAL ESTATE INVESTMENTS ON HOUSE PRICES: EVIDENCE FROM EMERGING ECONOMIES

2013 ◽  
Vol 17 (1) ◽  
pp. 32-43 ◽  
Author(s):  
Hassan Fereidouni Gholipour
Keyword(s):  
Real Estate ◽  
Emerging Economies ◽  
House Prices ◽  
House Price ◽  
Var Model ◽  
Panel Var ◽  
Real Estate Investment ◽  
Price Increases ◽  
Real Estate Investments ◽  
Using Data

In recent years, most emerging economies have experienced large foreign real estate investment (FREI) and an appreciation of house prices. The purpose of this study is to empirically investigate the effects of FREI on house prices by employing a panel VAR model. Using data from 21 emerging economies over the period 2000–2008, our empirical results show that FREI contributes to house price increases. Moreover, the results indicate that the dominant source of house price fluctuations in emerging economies come from the housing market itself.

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