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The purpose of this paper is to provide an estimate of the demand and supply in the housing market in Colombia in a period of high real estate valuation (2005-2016). On the demand side, it evaluates the impact of new housing prices, unemployment, stock market returns, real wages in the retail sector, remittances and mortgage rates. On the supply side, it estimates the influence of the price of new housing, construction costs, time deposit (TD) and mortgage rates. Real estate valuation was analyzed considering foreigners migration and land prices evolution.

Ordinary least squares (OLS) was used to estimate housing area with the semilog regression model and also to construct price models. OLS was also used in price models. Since quantities depend on prices and vice versa, a two-stage least squares (2SLS) was implemented.

Rising prices in new homes have an “elastic” effect on both demand and even higher effect on supply. Likewise, the real wage index for the retail sector has an elastic effect. On the other hand, the response to interest rates is negative, but statistically significant only on the supply side. Furthermore, the inflow of remittances is “inelastic” and statistically insignificant.

Housing can sometimes be a Giffen good, this result challenges the traditional neoclassical model, but it can be explained by investment reasons and “bubble” behavior in the housing market. One last influence is the difference between “temporary” and “permanent” migrations. The latter has a statistically significant and perfectly inelastic effect on the price of new homes.

The purpose of this paper is twofold: first, it derives the optimal loan-to-value (LTV)-ratio for a mortgagor that maximizes the return to home equity when considering the capital structure of housing investment. Second, it analyses the demand-side contribution to mortgage market variability across monetary policy regimes.

The paper endogenizes both the relation between the LTV ratio and the mortgage rate and the relation between LTV and the rate of appreciation. When we consider LTV-variance and the demand-side contribution to mortgage market variability, three stylized regimes is considered.

The paper finds an intuitive ranking of the optimal LTV-ratios across regimes, and the optimal LTV-ratio peaks during a housing boom. When, however, monetary policy ignores asset inflation the demand-side contribution to market variability is highest during normal market conditions. Hence, there is a potentially hump-shaped relation between the risk exposure of individual mortgagors and the demand-side contribution to mortgage market variability.

The paper finds a potentially hump-shaped relation between the risk exposure of individual mortgagors and the demand-side contribution to mortgage market variability, which, to the best of our knowledge, is novel. The paper shows how macro-prudential and monetary policy are complementary tolls for preserving financial stability.

This paper aims to examine how the exogenous shock of the global financial crisis has had a differential impact on the housing markets of the USA and UK.

The paper begins by examining the nature and dynamics of the global financial crisis. It presents a detailed comparison of institutional and housing market characteristics in each country. A particular focus is the differences in mortgage funding and subprime lending trends over the decade leading up to the financial crisis.

The analysis demonstrates the distinctiveness of the recent housing cycles and the geography of the downward price adjustments. Relative unemployment rates play a key role in these outcomes. Despite the different dynamics of the boom and bust, there is a common legacy in terms of the collapse of house building, repossessions/foreclosures and falling home ownership rates. The short-term policy responses by both governments addressed the same target issues in alternative ways but with different outcomes. Longer-term solutions are still being debated in both countries.

Innovatory insights are provided by the comparison of the sub-national spatial pattern of the recent house price cycle in two countries.

Studies have shown a correlation and predictive impact of sentiment on asset prices, including Twitter sentiment on markets and individual stocks. This paper aims to determine whether there exists such a correlation between Twitter sentiment and property prices.

The authors construct district-level sentiment indices for every district of Istanbul using a dictionary-based polarity scoring method applied to a data set of 1.7 million original tweets that mention one or more of those districts. The authors apply a spatial lag model to estimate the relationship between Twitter sentiment regarding a district and housing prices or housing price appreciation in that district.

The findings indicate a significant but negative correlation between Twitter sentiment and property prices and price appreciation. However, the percentage of check-in tweets is found to be positively correlated with prices and price appreciation.

The analysis is cross-sectional, and therefore, unable to answer the question of whether Twitter can Granger-cause changes in housing markets. Future research should focus on creation of a property-focused lexicon and panel analysis over a longer time horizon.

The findings suggest a role for Twitter-derived sentiment in predictive models for local variation in property prices as it can be observed in real time.

This is the first study to analyze the link between sentiment measures derived from Twitter, rather than surveys or news media, on property prices.

High numbers of housing backlogs as well as inadequate housing for low-income are one of the Indonesian government’s major concerns, especially in urban areas where the price of house is high. This study aims to identify low-income communities’ preferences on house ownership status, renting or buying and house provider, public or private, in Jakarta and surrounding areas.

This study adapts Longley multistage choice model in the Indonesian context to analyze people’s preferences in choosing a place to live in urban areas. This study analyzes two choices of models which are aspects of homeownership (buying or renting) and aspects of residential types (private or public).

Using data collected through a survey of 1,000 households in greater Jakarta (Jakarta, Bogor, Depok, Tangerang, and Bekasi), this study found that households which have fixed employment status, an older age, a larger number of family members, higher level of education and literacy in housing policy, accessible house location and more affordable to own house have a higher probability to choose to own a house. In addition, education level, age, and family size are major determinants of a household’s decision to occupy a public house rather than a private house. The findings provide basic input to government development programs in designing housing policy for low-income people.

There are only a few studies related to house-ownership preferences in low-income people, especially in developing countries, including Indonesia. This study contributes to the housing studies literature by strengthening empirical evidence from developing countries that have large populations and mostly live in urban areas.

This study aims to trace the transformation in the form of apartment building and the connotations it has in understanding the changes that occurred in the Jordanian society’s lifestyle over the past five decades.

A comparative case study analysis has been conducted amongst 170 apartments, covering 70 design attributes related to aspects of appearance, spatial organisation, parking and access to building, outdoor space and finishing. This was followed by experts and households solicitation to help giving more confidence on the validity and reliability of findings regarding the sorts and justifications for the changes that have taken place in the form of apartments over the studied time frame.

The results reveal changes in design attributes indicating particular alterations in people’s lifestyle. New interests act in formulating recent housing design attributes. People seem to turn into a more open social life within public community but more privatised living amongst family members. People are becoming more attached to indoor modernised lifestyle, in homes and public areas where activities take place. This entails pursuing a more comfortable, facilitating and enjoyable life that presents luxury and tranquillity.

Understanding the relationship between transformations in the built form of apartment buildings and the associated social alterations provides useful insights towards improving housing provision to better match the ever-changing demands of people and respond to alterations in their lifestyles.

The purpose of this paper is to examine whether the underserved area requirements for Fannie Mae and Freddie Mac (the government-sponsored enterprises [GSEs]) and the community needs requirements of the Community Reinvestment Act (CRA) contributed to the house price run-up in the USA.

This paper predicts the incidence of “Rebounds”, which indicate that a mortgage had been previously denied, to provide evidence on whether certain regulations caused excessively risky mortgage originations. As a different lender rejected the loan given the interest rate that they were willing to charge and information on the borrower, a higher incidence of Rebounds provides evidence that lenders were more frequently disagreeing about loans. This can indicate differences in regulatory pressure or oversight across lenders.

This paper provides evidence that the GSEs were purchasing fewer Rebounds directly from lenders. However, evidence suggests that indirectly, the securitization market served as a conduit for Rebounds to the GSEs that needed to satisfy regulatory underserved area requirements. The necessity of complying with the CRA was found to increase Rebounds. Among regulators, the Federal Reserve was found to have been particularly associated with Rebounds.

The paper’s contribution comes from linking Rebounds to legislative and regulatory influences. This contributes to the literature on excess credit and fraud, as well as the effect of underserved area requirements and the CRA. Also, this paper adds a new dimension to the literature on securitization, by showing the influence of regulation on the securitization of risky mortgages.

In this paper, we identify the relationship between (local) housing supply and (local) house price developments, especially in The Netherlands.

We measure the influence of new building on house prices by comparing areas designated for concentrated new building (main Dutch cities) with areas where no large housing projects are developed. On the basis of classical economic theory, if the housing market is functioning as it should, then supply will soon respond to a shock in demand and restore stability in house prices.

For the main Dutch cities, we found that an increase in supply triggers a fall in prices. In other areas the correlation coefficients are more or less zero, which can lead us to conclude that the expansion of the housing stock is market‐compliant.

The housing market is not functioning, as it should: new supplies depend on the complex decisions of the suppliers, thus making it difficult to express statistically the causality between the house price developments and the new supplies.

Most studies suggest that macro data are unable to measure the true dependency between the house prices and the new building and claim at the same time that micro data sets are incomplete. Also our research was hampered by a shortage of usable data.

New building can push up the value of the surrounding housing because it is associated with a qualitatively better housing stock. We conclude that in regions where new building has been concentrated in designated areas, the relationship between housing production and price development is inverse.