The Application of Cointegration Method for Structural Data in the Estate Market Analysis

The article touches upon the topical issues of the residential real estate market, which are proposed to be solved by means of time series cointegration. The study aims to assess the structure of the housing market by types of apartments using price dynamics per one square meter of apartments' total area. The objectives of the study are to develop a methodology of determination of time series cointegration for the data with structural relationships; to analyze the average prices for the types of apartments on the primary and secondary housing market; to study the housing market in the Russian Federation by quarterly data of state statistics for the period 2000–2020 based on the developed methodology.The results of the research showed that the prices at the primary and secondary housing market by types of apartments do not always represent an integrated process of the frst order and cannot be used for building a co-integration equation. This necessitated additional analysis and, as a consequence, the correction of the time period. It was proposed to ensure stationarity of linear combination of nonstationary data corresponding to the integrated process of the frst order by using the generalized least squares method (GLS). The sum of the elements of the cointegrating vector obtained this way tends to unity, and the elements themselves are estimates of the relative indi cators of the structure by types of apartments on the primary and secondary housing markets respectively. Thus, the suggested methodology allows estimating, on average, the share of the sold apartments of each type in the period under consideration, both in the regional context and in the country as a whole.The proposed methodology can be used for the estimation of relative indicators of the structure according to temporal data in different applications.

Housing market networks in China's major cities: a conditional causality approach

PurposeTo explore the state of this conditional Granger causality when other cities are not factors, we investigate housing market networks in China's major cities by using a combination of conditional Granger causality and network analysis.Design/methodology/approachAlthough housing market networks have been well discussed for different countries, the question of housing market networks in China's major cities based on the conditional causality perspective has yet to be answered.FindingsWe discover that second-tier cities are more influential than first-tier cities. Although the connectivity of the primary housing market is more complex than the diversified connectivity observed in the secondary housing market, both markets are scale-free networks that exhibit high stability. Moreover, we reveal that geographic conditions and economic development jointly determine the housing market's modular hierarchical structure. Our results provide meaningful information for both Chinese policymakers and investors.Originality/valueBy excluding the influence of other cities, our conditional Granger causality identifies the true casual relation between cities' housing markets. Moreover, it is the first paper to consider the primary housing market and secondary housing market separately. Specifically, Chinese prefer new house rather than second-hand house from both speculative and self-housing. Generally speaking, the new house price is lower than the second-hand house price since the new house is off-plan property. Therefore, understanding the difference between primary and secondary housing markets will provide useful information for both policymakers and speculators.

HOUSING AFFORDABILITY IN RUSSIAN REGIONS: ANALYSIS AND AGGREGATE ASSESSMENT

Housing affordability in the regions of Russia based on the calculation of indicators that characterize the ability of citizens to improve housing conditions in the housing market and in the rental market is analyzed in this paper. Approach to a comprehensive assessment of housing affordability in the regions based on determining the aggregate rating of the region by the level of housing affordability is developed by the authors. The proposed approach is based on the method of sums of ranks – the aggregate rating of the region by housing affordability is determined by using the total rank of the region by the level of housing affordability. Sum of ranks of region by indicators of housing affordability is total rank of the region. The approach developed by the authors allows for a comprehensive analysis of housing affordability in the regions, taking into account the investment opportunities of the population in the primary and secondary housing market, in the rental housing market, as well as the availability of housing mortgage lending in Russia. Assessment of the aggregate housing affordability rating is the basis for analyzing housing affordability at different stages of housing reproduction. The proposed approach also allows to analyze the relationship between the comprehensive level of housing affordability in the regions and other parameters that characterize the development of the housing sector. The proposed approach is tested in this article. Significant differences in the level of investment opportunities for households in the regional housing markets was shown based on the determination of the aggregate rating of housing affordability in 78 regions of Russia. The influence of housing affordability in the regions on the volume of housing construction based on the analytical grouping of data was shown.

Co-Integration Test of Selected Indexes on the Share Market and Index of Housing Real Estate Prices

The integration of financial markets is an ongoing process throughout the world. Research shows that, from Australia through Europe to the United States, the capital and real estate markets are integrating, influencing each other. Although this process seems obvious, only research can show whether it actually occurs. Identifying these relationships is important for analyzing the entire market. Many methods, such as estimating the cost of equity, have been developed with the stock market in mind. Meanwhile, real estate valuation requires the cost of equity. Market integration is the rationale for using equity market methods on the real estate market.Aim of the work - the research is aimed at verifying whether there is cointegration between the secondary housing market and the stock market. A research hypothesis was put forward: the stock market and secondary housing market are integrated.Research methodology - the study used co-integration analysis using the Engle-Granger test. The study was conducted in the period from the third quarter of 2006 to the fourth quarter of 2018.Result - The tests carried out showed the existence of co-integration in one out of 36 cases for the explanatory variable - the delayed WIG index and the explained variable in the average price of residential real estate on the secondary market for the 7 largest Polish cities.Originality / Value - demonstrating the co-integration of markets justifies the use of analytical methods developed for stock markets on real estate markets. The research has no equivalent study on the Polish market. Similar analyses were carried out, but not for the stock and real estate market.

Valuation Expertise of Flats in the Secondary Housing Market by Means of Multicriteria Ranking Evaluation of an Object

This article deals with implementation of comparative valuation of several flats in the secondary housing market in the city of Volgograd. The methodology of multi-criteria ranking evaluation of the qualitative level of flats, which was suggested by the authors earlier, is used as a means of such valuation. The numerical ratings of the index of consumer preferences obtained by the authors are applied to the valuation price of the alternatives under consideration. The obtained revaluation coefficients are analyzed from the standpoint of a seller and that of a buyer.

Listing of Developer Companies as a Predictor of the Situation on the Residential Real Estate Market

The stock exchange is considered one of the most important financial institutions in the market economy. The stock market reacts to the state of the economy almost immediately, and, in the end, the quotations of companies affect the state of other markets. The author decided to look at companies from the WIG Real Estate index as important entities shaping the real estate market. When comparing the situation on the capital market with the situation on the residential real estate market, one could, building an appropriate model, conclude how much these markets interact. Purpose - The purpose of the article is to present the links between two important markets, the capital market, with real estate companies as its representatives, and the secondary housing market. In order to achieve the goal, a research hypothesis was formulated: the economic situation on the real estate companies market will be reflected in the situation on the secondary housing market. Design/methodology/approach - Cross-sectional regression analysis was used in the study. Using the data from the Warsaw Stock Exchange and the National Bank of Poland, regression models where price changes in the secondary housing market are explained by the quotations of real estate companies and selected stock exchange indices were built. The study was carried out from the first quarter of 2011 to the third quarter of 2017. Findings - Two models were built in which the rates of return on investments in real estate companies explain the price changes in the secondary housing market in a statistically significant way. Thus, the research hypothesis was positively verified, showing that the real estate market and the stock market of real estate companies are interrelated. Originality/Value - The alternative method of analyzing the real estate market can be considered as the original value of the presented results. A demonstration of the connections between both markets allows us to validate the methods used on the stock market to analyze the real estate market. An example application is the use of methods for estimating the cost of capital from the stock market in the real estate market.

Investment Risk in the Context of Price Changes on the Real Estate and Stock Markets

The residential real estate market is thought to show a tendency for wide fluctuations in prices, as a result of which price bubbles appear. This element of risk has a direct bearing on investors interested in speculation and those seeking to meet their housing needs. Wide fluctuations in the values of real estate affect the investors’ financial situation in many ways, by determining the possibility of meeting one’s housing needs, reducing or sometimes raising creditworthiness, and by increasing investment risk measured by volatility. Omitting the obvious social dimension of the residential real estate market and concentrating on its financial aspects, the author of the article analyses to what degree wide swings in prices can be recognized as specific to this market. To this end, the volatility of prices in the stock market and in the secondary housing market in Poland is compared. An analysis is performed to establish which of them has higher average volatility measures or rates of return, i.e. which of them is more profitable or secure for investors. Statistical tests are used to find out whether average rates of return or measures of risk are equal or different between the two markets. The results of the research show that the secondary housing market and the stock market differ concerning cumulative average rates of return and standard deviations. In the first of them, they are respectively higher and lower.