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The purpose of this paper is to examine the impact of residential and commercial loans on total real estate sector loans by using partial least square–structured equation modelling (PL–SEM) method. The residential loans as a mediator have been used to know the mediation effect between commercial and total real estate loans of banks in India. The residential loans as a mediator govern the relationship between commercial loans and total real estate loans in India. Real estate sector development is a lucrative opportunity for India. The real estate sector plays a major role in shaping economic conditions of the individuals, firms and family.

The research is descriptive in nature. The study on residential loans, commercial loans and total real estate loans has been taken into consideration, and on the other hand the measurement and structural model have been employed to the study the impact of residential loans and commercial loans on total real estate loans in India by using PL–SEM. The residential loans as a mediator have been taken to study the mediation effect of the relationship between commercial loans and total real estate loans in India.

The outcome of the structural model that is bootstrapping technique shows that there is an impact of residential and commercial loans by public and private sector banks on total real estate sector development in India. The residential loans show the full mediation effect between commercial loans and total real estate loans as the value of variation accounted for (VAF) is more than 1.93 which shows residential loans govern the nature of variable between commercial loans and total real estate loans.

The public and private sector banks are contributing to the real estate sector development in India which increases the economic growth of the country. The mediation analysis shows that residential loans are an important aspect between commercial and total real estate loans in India as the demand for residential housing is more in India. The increasing role of banks in the real estate sector strengthens the financial capability in the real estate sector market, and the property buyers will able to purchase more property which leads to increasing demand for real estate sector.

The research paper is original, and PL–SEM has been used to find the results.

The purpose of this paper is to examine the determinants that affect international capital flows (ICF) toward the Spanish real estate market over the period 1995 first quarter to 2017 fourth quarter.

VECM methodology is used to analyze time series and panel methods using pooled EGLS regression.

VECM parameter results for construction and real estate activities sectors, quickly suggesting a stable performance of capital flows toward Spanish real estate sector that the short-term fluctuation of foreign investment results contributes to the long-term equilibrium relatively soon. By applying the Monetary theory of Johnson, the model identifies a relevant role of M3 explaining capital flows to real estate, together with the lagged variables of construction and real estate activities capital flows, Spanish real interest rate and Spain’s economic growth rate; they are the significant determinants on capital movement to Spanish real estate sector. Interestingly, Spanish housing prices as an exogenous variable, directly, significantly and negatively affect real estate capital flows in all cases as a way to capture the assets price bubble.

Findings highlight reasons affecting capital flows to real estate and construction activities to Spanish sectors which allow capital Funds to take into account those drivers in their investment decisions.

This paper is the first attempt to analyze the determinants of ICF to Spanish real estate market; it has a significant meaning for both Spanish economy and international investors.

Seeks to explore recent studies in corporate real estate and to provide a comparative analysis of industrial corporations in Ireland and those in the non‐industrial sector with respect to their corporate real estate management objectives.

The empirical investigation reports on a study undertaken in Ireland and compares results from companies in the industrial sector with companies in the non‐industrial sector. The methodology is based on a behavioural questionnaire targeted at the top 150 companies operating in Ireland and classified on the basis of number of employees.

The findings indicate that significant differences are apparent between companies in the industrial sector and companies not in the industrial sector in the use of real estate assets. In particular companies in the industrial/manufacturing sectors have weakly developed corporate real estate strategies.

The main limitations derive from a relatively small sample size, a function of targeting the survey at senior executives. There are implications for companies in the under‐utilisation of real estate assets and the effects of this on corporate balance‐sheets requires further investigation.

Highlights that companies in Ireland, notably those in the industrial sector, have some significant way to go in utilising their corporate real estate assets more effectively.

Using time-series data on the US banking industry for the period 1984Q1-2016Q2, the present study aims to examine the impact of both aggregate and sector-specific non-performing loans (NPLs) on aggregate and sectoral product and labor markets.

Using both single equation ordinary least squares and instrumental variables regressions, the study compares the sensitivity of sector-specific gross domestic product (GDP) and employment growth to changes in both aggregate and sectoral NPLs. Moreover, the paper uses vector autoregressions (VARs) to dynamically trace the impact and duration of NPLs on different types of real economic activity..

Rise in total NPLs reduces US real GDP growth that is most accentuated for construction sector GDP. Likewise, total NPLs significantly lowers both total and non-farm employment growth, financial activities and construction sector employment growth, with the latter showing most sensitivity. Moreover, NPLs in commercial and industrial sector, consumer lending, non-farm non-residential, construction and land development, single- and multi-family residential sectors reduce corresponding sectoral employment growth. The VARs largely confirm these findings with shocks to total NPLs having the most immediate and persistent inimical impact on construction-sector GDP growth.

The deleterious impact of different categories of NPLs on both aggregate as well as sector-specific product and labor markets illustrate that a distressed banking sector is a serious obstacle to the real sector. The findings underscore the need not only to clean up NPLs for the sake of banks financial soundness but also to reduce their pernicious effects on the health of the US economy. For bank regulatory authorities in the USA, it indicates constant monitoring of banks in their jurisdiction and identifying early warning signals to mitigate the potential real sector losses due to rising NPLs.

The extant literature on NPLs has mainly focused on explaining its underlying determinants but not on its real sector consequences. The present paper examines the impact of NPLs on different facets of real economic activity, an issue that has been rarely studied and especially not on the US economy. Moreover, the overwhelming majority of existing literature focuses on aggregate NPLs. The relationships derived in such studies, while useful, can mask important differences between different types of NPLs and real economic activity. The present paper explores the impact of disaggregated NPLs in the US banking industry on corresponding sector-specific product and labor markets, again an issue that has not been studied previously.

From the perspective of the macro‐economy and real estate sector interaction, this paper aims to examine the maturing prime retail real estate sector versus the developing suburban retail real estate sector.

This paper adopts a highly specific dynamic computable general equilibrium model under system dynamics programming to structure the resulting system complexity within the context of Singapore.

Ex post and ex ante model estimations find that the suburban retail real estate sector is on the whole more susceptible to gross domestic product (GDP) growth policy that affects both GDP expansion and retail rents in actual and expectation terms as well as returns.

The DCGE model ex ante estimations for the planned scenarios, under low or high GDP growth for the prime and suburban retail real estate sectors, enhances understanding of structural factors and dynamic interaction in the maturation phase of the prime retail real estate sector in Singapore.

In comparison, Singapore's suburban retail real estate sector is found to be in a developing phase.

There is limited local research on the underlying relationship between the economy and the retail real estate sector, although Singapore's retail sector and retail real estate sector form an integral part of sustainable economic expansion.

This study aims to analyse, from a corporate finance and governance perspective, the reasons why managers decide to delist their companies from a stock exchange. On the basis of the five hypotheses of voluntary delisting, this study examines why listed companies delist themselves voluntarily in the construction and real estate sectors.

By using actual data to examine contractors and real estate companies listed on the Tokyo Stock Exchange between 2004 and 2014, this study analyses whether these companies delist themselves voluntarily. The pooled binary logit model is used as the statistical method.

In both the construction and real estate sectors, the concentration of shareholders has a significantly positive effect on voluntary delisting, thus supporting the transfer of wealth effect hypothesis. In construction, market capitalisation has a significantly negative effect on voluntary delisting, thus supporting the maintenance cost reduction hypothesis. In the real estate sector, the ratio of market capitalisation to total assets has a significantly negative effect on voluntary delisting, thus supporting the undervalue elimination hypothesis.

By comparing the construction and real estate sectors, this study reveals both unique and common reasons for voluntary delisting in each sector. It also offers valuable insights to managers, regulators setting standards in securities markets and investors.

The purpose of this paper is to test the extent to which company-specific attributes including market capitalisation, capital structure and investment focus impact upon the performance of European listed real estate companies. Enhanced understanding of firm-level performance drivers is important for investors in order to diversify their investment portfolios and to mitigate company-specific risks at different points in the real estate cycle.

The study centres on six key listed European real estate markets selected on the basis of market capitalisation, diversity, transparency and maturity. A series of statistical tests are undertaken using EPRA and Bloomberg data for the period of 2007–2017 using 113 listed property companies, all of whom were contemporaneous constituents of EPRA indices in this period. A series of customised performance indices were constructed to evaluate firm-level performance attributes.

Firm-level attributes collectively account for more variation of risk-adjusted return than sector-level attributes over the investigation period. The impact of firm-specific attributes on performance varies significantly from country to country attributable to the contrasting cyclical property market trends in the pre– and post–Global Financial Crisis period. REITs outperformed non-REITs on a risk-adjusted basis attributed to the strong performance of “niche” market entrants allied with stronger regulatory structure. Finally, the findings showcase that sector specialist firms outperform diversified companies inferring that investors should seek to attain diversification through portfolio-based approaches rather than firm-level strategies.

The results have implications for real estate companies aiming to raise capital internally for growth as higher return on equity in general signals reduced cost of capital. Secondly, the findings should be of practical use to multinationals specialising in international real estate trading in designing their business plans in general and formulating cross-country investment strategies in particular. Last but not least, a more refined conceptualisation of corporate-level performance drivers should complement existing professional practices in relation to business/company appraisal.

The research integrates EPRA and Bloomberg data sets to create a series of bespoke index constructs to measure the impact of firm-specific attributes on European listed real estate companies. Additionally, the authors construct a Herfindahl Index (H.I.) to further the debate on the impacts of diversification within the listed real estate sector. This serves to further heighten investor understanding of investment allocation and portfolio optimisation strategies for the listed real estate sector given the increasingly diverse range of investment opportunities within emerging sub-markets.

The study aims to identify the reality of the role of the banking sector in financing the Palestinian real estate and construction sector. The study demonstrated the importance of this issue by highlighting the role that Palestinian banks play in treating the problem of the increasing demand for housing because of the natural increase in population numbers and their various needs, and through knowledge of historical development for banks and the facilities they provided, especially to the real estate and construction sector.

This study carried out data from (2000–2019). The descriptive analytical method and regression method was used for analyzing the measurement model. Holt’s method was used to estimate the size of housing units needed in the Palestinian territories over the next seven years.

The study concluded that there is a need to build about (200,000) residential units in the next seven years, and the study recommended the necessity of increasing the pooled contribution of banks and directing part of it to the real estate and construction sector, amending legislative laws for the real estate market and construction, reducing taxes on building supplies and encouraging the private sector with stimulus policies or share.

The study provided results and data regarding the state of the housing sector and how its financed by Palestinian banks; it clarified the limitations and difficulties that face this sector and provides a clear path for what needs to be done to develop this sector and overcome its barriers.

This current study contributes to focusing on the reality of the banking sector and its role in financing the real estate and construction sector, in addition to the appropriate period of time for the study, which ranges between 2000 and 2019, which is a period sufficient to identify the reality of Palestinian real estate and construction and banks and the relationship between them.

The researcher believes that the study differed from its predecessors through an in-depth analysis of the existing relationship between cash assets and real assets, given that the priority of real assets over cash assets, as cash assets are considered as real over cash assets, but they do not constitute a substitute for them in economic development, the study contains a vision that recommends linking the activities of the banking sector with economic and social problems and the national issue, i.e. independence and self-determination.

The purpose of this paper is to investigate the causal relationship between risk experienced within the real estate industry and that of the overall market in the UK context. The motivation behind this research is to investigate whether the real estate sector transmits risk to the wider marketplace and whether this phenomenon existed, or was exacerbated, during the most recent financial crisis.

The study was undertaken over a 20‐year timeframe, from 1990 to 2010, with special attention being awarded to the global financial crisis (GFC) period from 2008 to 2010. The paper first undertakes graphical modeling of market and industry volatilities in an attempt to identify which industry drives market uncertainty. This is followed by quantitative computation of industry‐specific volatility, which is employed in examining the relationship between these volatilities using block exogeneity/Granger causality tests. Rolling sample analysis and impulse response functions are employed as robustness tests to substantiate the main results.

First, the analysis confirms research that finance industry volatility is a leader in driving market volatility. Second, it expands on these findings to identify the real estate sector as being a key source of this causal relationship. It finds that real estate risk is the one that regularly drives finance industry volatility over the 20‐year sample period. Third, and most importantly, it emerges that the causal link between the real estate sector and market volatility is at its strongest leading up to the most recent financial crisis. More specifically, the real estate investment trusts sub‐sector of real estate industry volatility is the one that has the strongest unidirectional relationship with market‐wide volatility, both directly and indirectly, through driving the finance industry volatility during the GFC.

These findings are significant for market participants, such as pension funds, which need to protect their assets from a stock market crash. Furthermore, anticipating a downturn by observing the trends in real estate sector volatility is highly advantageous in informing their trading strategies now and into the future. Policy makers likewise need a signal of an impending credit crunch and can utilize real estate market statistics to pre‐empt a freezing up of the credit markets.