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The purpose of the study is to understand the relative impacts of structural characteristics of house, its locational attributes and neighbourhood characteristics on the choice of house and the rent paid by the individual tenants. The micro level study helps in understanding the issues of urban housing and help in policy formulation.

This paper tried to identify the socio-economic, locational and neighbourhood factors that influence tenant households in determining their residential choices in an urban area of North-east India. Also, the extent of impacts of those characteristics on the monthly rent for housing is analysed. The analysis is based on the primary data collected from the sample residents of Dimapur Town in Nagaland. The sample units are selected by cluster sampling technique from all the wards. Regression technique is used under hedonic pricing technique to examine the impacts of various potential factors on the rent.

The analysis reveals that family size, income, education of the head of family, water availability, security, convenience to access workplace, road conditions, etc. have significant positive impacts on the monthly rent. However, the impacts of some locational and neighbourhood variables vary across social and economic groups.

Time series data on the growth of house price are not available, so that the authors could examine the escalation of house price and rising scarcity of houses in the selected town.

Rental housing accounts for a significant percentage of housing in many urban centres. It is particularly important for the migrants and urban poor for whom it is the only source of accommodation. Location choice depending on capability, availability, requirement and neighbourhood conditions are integral parts of selection of accommodation in a city. Hence the present study has its relevant practical implications.

Housing choice in a hilly urban area like Dimapur assumes a special significance for the presence of heterogeneous ethnic, social and cultural groups with majority of Tribal inhabitants with varied requirements and lifestyle.

No study on housing choice or pricing of residential accommodation has been done in North-East India. Here along with the socio-economic characteristics of the individuals, structural characteristics of house, neighbourhood and locational characteristics are used simultaneously to find out the impact of various factors on the total prices through hedonic pricing method.

The purpose of this study is to determine the Turkish housing price and rent dynamics among seven big cities with a unique monthly data set over 2003–2019. The secondary purpose is to examine bubble dynamics within the price convergence framework through alternative tests.

The paper conducts two autoregressive distributed lag (ARDL) cointegration estimates for housing prices and rents and applies conditional error correction model to investigate the long-run drivers of the Turkish housing market. The authors compare ARDL cointegration in-sample forecasts and discounted cash flow (DCF) estimates with actual prices to determine the timing, magnitude and collapse period(s) of bubbles within the price convergence framework. In particular, the generalized sup augmented Dickey–Fuller (GSADF) approach time stamps multiple explosive price behaviors.

The ARDL results confirm the theory of investment value by addressing mortgage rates, the price-to-rent ratio and rents as the fundamental factors of house prices. The price-to-rent ratio offers a comparison mechanism among houses deciding to buy a new house in which rents increase monthly real estate investment returns, and mortgage rates act as the discount rate. One key finding is that these dynamics have a greater impact on house prices than mortgage rates. Furthermore, the ARDL, DCF and GSADF findings exhibit temporal overvaluations rather than bubble signals, implying that housing price appreciations, including explosive behaviors, are consistent with fundamental advances.

This paper is considered to be innovative in determining housing market dynamics through two different ARDL estimates for the Turkish housing price index and rents in real terms as dependent variables. The authors compare the boom and collapse periods of the real housing price index and its fundamentals via the GSADF test. A final key feature of this research is its extensive data set, with 11 different regressors between 2003 and 2019.

The purpose of this research is to ascertain the extent to which the income capitalization approach reflects the pattern of emerging rental income in Enugu property market.

The survey research design was used in this study. Data from the field was gathered through a data collection pro forma administered to 40 valuers in Enugu metropolis in the manner of conducting interviews. This study used key valuation details of 54 sampled income generating properties valued by the respondent valuers between 2015 and 2022 using the income capitalization approach. The same sampled properties were then revalued by the researchers using annuity due assumption/formulas of the income capitalization approach. Descriptive and inferential statistics were used to analyze the data.

The study revealed that the income capitalization approach used by most valuers in Enugu does not reflect the property rental income pattern prevailing in Enugu property market where rents are paid in advance. The study further shows that the application of the income capitalization approach for valuation of annually in-advance property rental income cash flow results in a higher capital value of 3.49% in Enugu property market.

The limitations to this study are that past valuation done by valuers were used in the analysis instead of actual property sales and a relatively small number of sampled valuers and properties are used in the study The implication of the study is that ordinary annuity assumptions or formulas is inaccurate and not suitable for valuation of income generating property in an emerging market like Nigerian where timing of cash flow is annually in advance. Based on the result of this study it seems that ordinary annuity approach negate the principle of estimating value using income capitalization method by converting future cash flow from income generating property into an estimate of property value.

The study advocates the adoption of the use of annuity due formulas in the valuation of income generating properties in Nigeria as its practice standard to avoid undervaluation as this assumption is logical and provides more accurate value due to prevailing lease structure and rent payments patterns in the country. The implication of the study is that the use of ordinary annuity assumptions or formulas is inaccurate and not suitable for the valuation of income generating property in an emerging market like Nigerian where timing of cash flow is annually in advance.

This is one of the very few empirical studies carried out in Nigeria to ascertain the extent to which the income capitalization approach used by valuers reflects the rental income pattern that prevails in the Nigeria property market.

The purpose of this paper is to empirically examine the issue of convergence in the monthly returns, rental growth and yields for ten market segments in the UK direct real estate market, using monthly data over the period from January 1987 to December 2014.

The methodology used to determine convergence is principal component analysis as it provides an assessment of the extent to which the variance of the market segments can be represented by a single common factor, explaining their long-run behaviour, and the degree of independence between the market segments.

The results suggest that there is strong evidence of convergence over the entire sample period in relation to monthly returns and yields but less evidence of convergence in rental growth, which confirms the findings in previous studies in international markets.

The evidence also suggests that convergence has increased over the sample period and that convergence is period specific and was particularly strong during and after the period of the Global Financial Crisis, which implies that the UK direct real estate market is largely integrated and as a consequence the extent of diversification potential in the market is still severely limited.

The convergence in returns has crucial implications for investors as it leaves investors exposed to the same structural shocks and so magnifies the importance of volatility spillover effects, limits their ability to create well-diversified portfolios and make it more difficult for fund managers to outperform the market.

This is the first paper to examine the convergence in the UK direct real estate market.

Real estate is one of the fundamental growth engines for developing economies as it contributes urbanization and infrastructure development. In recent years, Somalia has witnessed massive real estate development in both housing and commercial buildings. The purpose of this study is twofold. First, the study examines the determinants of residential property rents. Second, it investigates whether residential property rents are fairly valued.

This study uses two-stage modeling. A hedonic regression model is used in the first stage, while an artificial neural network is applied in the second stage.

After analysis, this study established that size, location and security of a residential property have a significant influence on its monthly rents. Alternatively, the study identified that residential property rents are not fairly valued in Mogadishu and overvaluation is more frequent than undervaluation.

This implies that Somalia’s real estate industry is more speculative-driven than real demand-driven. Though Somali real estate is an infant industry with huge potentials in the long run, it may end up disastrously following the well-known bubble-then-burst behavior. To avoid such crisis, this study recommends formulating government policies that regulates, supervises and protects the infant real estate industry without undermining the needs of the poor and low-income citizens.

This paper has two aims: to consider the negotiating strength of landlords and tenants in lease negotiations; and to calculate the level of deposit which is necessary to mitigate income risk.

The paper reviews the existing literature on the negotiation strength between landlords and tenants in different stages of the property cycle; investigates the well established deposit system in South Korea for lessons that might be applied in the UK; estimates the appropriate level of deposit using simulation methodology, given different states of the market; and places the contractual arrangement in a legal framework.

Evidence from the Seoul office market suggests that deposits can be very effective in protecting income return. In the UK during the down phase of the cycle, when supply of space exceeds demand and business conditions are uncertain, tenants are unwilling to pay deposits and landlords are more inclined to offer incentives in a bid to get the property let, even though the down phase is exactly the time when a deposit system is needed most. Landlords should be looking through the cycle and insisting that deposits are paid at the height of the market when their bargaining strength is stronger. The deposit should be sufficient to cover the probability of income loss in the down phase of the cycle. Based on market evidence in 2009, the amount of the deposit should be equal to at least 15 months rent.

The stability of the income return is one of the key features of real estate both as an investment and as security. The use of rental deposits is a practical and straightforward way of hedging the risk. The paper estimates the amount of deposit required and provides guidance on the key heads of terms, which should be included in a deposit agreement.

The estimation of rental deposits has very little coverage in the literature. At a time when income return is under pressure landlords need to be fully aware of the benefits of the deposit system and the key factors that need to be considered when estimating the amount of deposit necessary to offset tenant default risk.

This paper models the lessee's default options and estimates the economic value of the options for a lessee using a discrete time binomial American option pricing model. Results show a positive relationship of the option premium with the original rent and a negative relationship with the relocation costs. Finds that the default probability is higher for lessees who are more sensitive to rental changes and place less emphasis on the fitting‐out quality. Suggests that rental volatility and rental growth rate are two significant factors that have positive relationships with the default option values. The risk‐free rate, on the other hand, has an inverse relationship with the default option values because a higher risk‐free interest rate reduces the present value of rental savings. Lease term length to expiration has a positive effect on the default option value, implying that the default option premium will decay as the term to expiry is shortened.

This paper explores whether the spread of air conditioning in the United States from 1960 to 1990 affected quality of life in warmer areas enough to influence decisions about where to live, or to change North-South wage and rent differentials. Using measures designed to identify climates in which air conditioning would have made the biggest difference, I found little evidence that the flow of elderly migrants to MSAs with such climates increased over the period. Following Roback (1982), I analyzed data on MSA wages, rents, and climates from 1960 to 1990, and find that the implicit price of these hot summer climates did not change significantly from 1960 to 1980, then became significantly negative in 1990. This contrary to what one would expect if air conditioning made hot summers more bearable. I presented evidence that hot summers are an inferior good, which would explain part of the negative movement in the implicit price of a hot summer, and evidence consistent with the hypothesis that the marginal person migrating from colder to hotter MSAs dislikes summer heat more than does the average resident of a hot MSA, which would also exert downward pressure on the implicit price of a hot summer.

This study aims to determine the relationship between the banking industry and home financing by conducting a regression analysis between the mortgage loan interest rates and the number of housing sales, and based on the results of the analysis, this paper proposes a new and alternative interest-free home financing model by directing the savings of the people in pension funds into real estate investment funds (housing fund), specifically established to provide a bank loan-free home financing solution. Diminishing Musharakah (partnership) is also integrated into the model from an interest-free and saving economy perspective. The model developed also provides opportunities to increase the size of the real estate investment funds and provide alternative investment tools to pension funds.

While the global financial crisis resulted from the mortgage crisis in the USA in very recent history, the world has been experiencing the evolution of a new health crisis, COVID-19, a pandemic that has been heavily affecting the global economy in the past two years. The housing sector is among one of the major industries that may be affected by this new global crisis because of the high dependency of the current home financing models on the banking industry, which is carrying the burden of the pandemic. The rapid increase in global debt volume, housing prices, inflation and interest rates are observed as bad signs that may increase the risks of the housing industry. A potential decrease in purchasing power because of high inflation rates may decrease the welfare of people and reduce the income level. While the total debt keeps increasing worldwide, and central banks are considering increasing the interest rates, any potential default in the repayment of the mortgage loans may trigger a new mortgage crisis as the bank loan-dependent financing system of the housing industry lacks alternatives. Thus, a relationship analysis between the banking and housing sectors is required to figure out the dependency of home financing on the banking industry, and a new sustainable home financing model is needed to protect the housing industry and the homebuyers from a negative effect of a new possible financial crisis.

The results of the analysis exhibit that there is a strong negative relationship between the mortgage loan interest rates and the total home sales. As a result, the new model is suggested and this new model is tested in an emerging country, Turkey, with the real housing sector and economic data where the interest rates are high and the home prices are booming. The results exhibit that the new interest-free home financing model provides a more economic financing solution compared with the high financing costs of bank loans.

The model proposed in this study is unique, and there is no such system that has integrated the pension funds, the real estate investment funds and diminishing partnership in one ecosystem. It is expected that the model may decrease the dependency of home financing on the banking industry and decrease the risks of the housing sector in the case a new financial crisis occurs.

While providing a sustainable and alternative interest-free home financing tool, the model also provides individuals who do not prefer to use any bank loan because of religious or other concerns an opportunity to purchase their houses.

The model proposed in this study is a unique and original model that aims to provide a bank loan-free, sustainable home financing solution by integrating the pension funds, real estate investment funds and diminishing partnership in one ecosystem.

This paper aims to examine whether property managers who live on-site within a residential apartment building provide a value-added benefit to the management in the form of cost control and revenue maximization.

This research uses two large US data sets that cover operational and financial data of apartment owners/operators and the financial and individual housing situations of renters themselves. The regression models developed were general linear models with operating expenses, rent collection and monthly rent paid as dependent variables, with on-site resident manager status as the experimental variable.

This research finds that the value of on-site property managers does not definitively maximize rent revenue, as expected. On-site property managers also don’t show significant reductions in operating expenses, although they are not cost centers either. Individual renter households do, however, pay a significant rent premium for units in communities with on-site personnel living there.

The limitations of this research include the inability to merge the two data sets and the inability to measure the intangible attributes of the on-site residential manager’s experience.

As roughly 30 per cent of US rental apartment buildings have some form of on-site manager, this research has some practical implications for multifamily housing investors/owners, a highly visible US building sector.

The action of hiring an on-site residential property manager also addresses issues related to the optimization and efficient allocation of human resources for property management companies.

This appears to be the first research addressing property managers who live at the site where they also work.