Real Estate Research Articles

A Study on the Effect of Residential Real Estate Intrinsic Characteristics on Auction Successful Price - Focused on the Characteristics of the Tenant Rights Protection System

A Study on the Effect of Residential Real Estate Intrinsic Characteristics on Auction Successful Price - Focused on the Characteristics of the Tenant Rights Protection System

A Study on the Application of Monthly and Jeonse Conversion Ratio in the Calculation of Real Estate Brokerage Fees

A Study on the Application of Monthly and Jeonse Conversion Ratio in the Calculation of Real Estate Brokerage Fees

STRATEGIC MANAGEMENT: FROM THE DIGITALIZATION OF THE CONSTRUCTION INDUSTRY TO THE DEVELOPMENT OF THE HOUSING MARKET UNDER THE TERMS OF FINANCIAL LEASING

In the article, a study was conducted on the consideration of the advantages and possibilities of implementing the process of digitalization of the construction sector in the context of strategic management, taking into account the possibilities and need for effective interaction and interconnection of the state and business structures, taking this into account when developing effective mechanisms for its implementation in order to provide the population with housing on terms of financial leasing. The purpose of the article is the development of theoretical approaches and the development of practical recommendations for increasing the effectiveness of strategic management of the construction sector in the context of its digitalization, outlining the relationship with the real estate market, taking into account the prospects of providing the population with housing under the terms of financial leasing. The methodological basis of the article is a number of methods that ensure the reliability of the obtained results and conclusions, in particular, such as: monographic, logical, descriptive-analytical, analysis, synthesis, system approach, theoretical generalization, observation, quantitative and qualitative comparison. The article examines the digitalization of the construction sector of Ukraine in the context of strategic management as a vital necessity to ensure recovery in the post-war and post-war periods, as an important stage in the development of infrastructure and the economy in general. Attention is focused on the importance of developing a program of actions taking into account the implementation of digitization mechanisms, taking into account the interrelationship and dependence of the effective functioning of the economy on the level of development of innovative technologies, regulatory and legal support, the field of education, in particular higher education, and the development of public-private partnerships. The advantages and disadvantages of digitalization of the construction sphere of Ukraine are considered, taking into account the challenges that this sphere faces in modern business conditions. The role of digitization in the housing market under the terms of financial leasing and the main aspects in which digital technologies change this market are determined.

A Study on the Effect of Residential Real Estate Intrinsic Characteristics on Auction Successful Price - Focused on the Characteristics of the Tenant Rights Protection System

A Study on the Effect of Residential Real Estate Intrinsic Characteristics on Auction Successful Price - Focused on the Characteristics of the Tenant Rights Protection System

Специфика продвижения на российском рынке недвижимости: анализ лучших практик и потребительских предпочтений

The primary real estate market has shown systematic growth since 2020 due to the stimulating demand by using mortgages with state support, as well as the availability of a project financing instrument that protects the buyer from the risks of losing money invested in shared construction. At the same time, the current unstable economic situation leads to a drop in demand caused by a decrease in purchasing power and rising inflation. This dynamics primarily indicates an increased number of proposals, a high level of competition and the risk of oversaturation for developers. In the current conditions the gap emerging in the real estate market between the existing supply and real demand will only increase, which will require developers to use tools and management solutions aimed at promoting the product in the real estate market and building effective personalized communication with clients. The success of marketing tools depends on companies' focus on consumer sentiment, behavior and preferences. The presented work analyzes the civil construction industry's best practices for interaction with buyers, taking into account their emotions, expectations and concerns.

Проблемы трансформации госорганов, участвующих в кадастровых отношениях и пути их решения

The article examines the process of transformation of state bodies involved in cadastral relations in Russia. The main problems arising during this transformation are analyzed and ways to solve them are proposed. Special attention is paid to the issues of improving the efficiency of cadastral authorities in the context of the regional economy. Measures are proposed to improve the organizational structure and functionality of these bodies. The prospects for the introduction of innovative technologies in the field of cadastral registration and registration of real estate rights are considered. The necessity of an integrated approach to the reform of the public administration system in the field of land and property relations is substantiated.

The role of business forums in the exchange of experience and professional development of real estate professionals

The role of business forums in the exchange of experience and professional development of real estate professionals

A Study on the Application of Monthly and Jeonse Conversion Ratio in the Calculation of Real Estate Brokerage Fees

A Study on the Application of Monthly and Jeonse Conversion Ratio in the Calculation of Real Estate Brokerage Fees

A Study on the Importance of Green Building Real Estate Market Revitalization

A Study on the Importance of Green Building Real Estate Market Revitalization

Exploring the Role of Labor Welfare Programs in Enhancing Productivity and Performance in Real Estate Business in India

ŵम कʞाण कायŊŢम भारतीय įरयल एːेट Ɨेũ मŐमहȕपूणŊभूिमका िनभातेहœ, कमŊचारी उȋादकता, ŮदशŊन, और कु ल भलाई मŐयोगदान देतेहœ। यह पेपर ŵम कʞाण पहलो ं के महȕ की जांच करता है, जो įरयल एːेट उȨोग मŐकमŊचारी बांधन, रखरखाव, और संगठनाȏक Ůभाव पर उनका Ůभाव देखता है। सािहȑ की समीƗा और इन कायŊŢमो ंके Ůभाव को Ůभािवत करने वालेमुƥ कारको ं का िवʶेषण के माȯम से, अȯयन िडज़ाइन और कायŊŢम की कायŊƗमता मŐमानदंड, संचार, और िनयिमत मूʞांकन की महȕपूणŊता को हाइलाइट करता है। संगठनाȏक संˋृ ित मŐŵम कʞाण कायŊŢमो ं का एकीकरण रणनीितक आवʴकता के ŝप मŐŮकट होता है, कमŊचारी बांधन, वफादारी, और संगठनाȏक Ůितʿा को बढ़ावा देता है। इस अनुसंधान मŐपाये गए पįरणाम ŵम कʞाण और संगठनाȏक सफलता के बीच के संबंध को दशाŊतेहœ, कमŊचारी कʞाण को Ůाथिमकता देनेऔर सामािजक िजʃेदारी, पाįरİ̾थितक िटकाऊता, और नैितक नेतृȕ को बढ़ावा देनेकी आवʴकता को जोर देतेहœ। उȨोग-िवशेष आवʴकताओंका समाधान करकेऔर कानूनी मानको ंऔर सामािजक अपेƗाओंके साथ ŵम कʞाण कायŊŢमो ंको संरिचत करके, įरयल एːेट कं पिनयाँदीघŊकािलक िवकास और समृİȠ के िलए एक सकाराȏक कायŊवातावरण बना सकती हœ।

The Determination of Capitalization Rate by the Remote Segments Approach: The Case of an Agricultural Land Appraisal

In the absence of comparative real estate data in the market segment of the property to be estimated, the appraiser may resort to income capitalization to estimate the market value. Often, however, the choice of which rate to apply is affected by subjective and arbitrary assessments. The estimation result can therefore be inaccurate and rather unclear. However, the Remote Segments Approach (RSA), through appropriate adjustments on the original values, prices, and incomes detected in the remote segments, makes it possible to arrive at an appraisal result consistent with estimative logic and real estate valuation standards. The proposed application illustrates the estimation of the market value of a specialized fruit orchard of avocado, which is to be considered new in relation to other fruit species already present in the reference area. The adjustments required by the RSA are solved with the General Appraisal System (GAS), defining the difference matrix based on relevant characters common to all segments considered. The application is carried out by comparing the segment in which the orchard being estimated falls (subject) with other remote market segments in which prices and incomes constituted by other tree crops are collected. The market value of the subject is derived by making adjustments to the prices and incomes observed in the remote segments of comparison with a comparison function constructed through relevant characters common to the segments considered. The comparison function makes it possible to arrive at the determination of the capitalization rate to be used in estimating the value of the fruit orchard by income approach. While it is based on the comparison of segments, the approach followed allows for a value judgment consistent with the estimation comparison and capable of providing a solution less conditioned by the appraiser’s expertise in the presence of particularly pronounced limiting conditions.

Real estate agency: land, housing and finance in urban and planning history conference

ABSTRACT This report provides an overview of the 17th meeting of the Australasian Urban History/Planning History Group, held on Gadigal Country at the University of Sydney from 11 to 13 July 2024. The 2024 conference welcomed papers on diverse topics, but particularly encouraged contributions relating to possession and dispossession, housing histories and FIRE (Fire, Insurance, Real Estate). Over 60 papers were presented. The use of real estate, and the delineation of property as a tool of dispossession was a theme that ran through many of the papers, as was the unbuilt theme, which serendipitously threaded through presentations focused on many different cities.

Analysis of Tianjin real estate market: multiple linear regression prediction method

In this paper, the price prediction of Tianjin real estate market is studied, and the key factors affecting housing prices are systematically analyzed by using the method of multiple linear regression prediction. The research data comes from the real estate transaction data of Tianjin from 2018 to 2022, covering independent variable information such as housing area, housing age, geographical location and supporting facilities. By constructing multiple linear regression model, it is found that housing area and supporting facilities have a significant positive impact on housing prices, while housing age and distance from the city center have a significant negative impact on housing prices. Specifically, for every 1 square meter increase in housing area, house prices are expected to rise by 450 yuan; Every year the age of the house increases, the house price is expected to drop by 200 yuan; Every kilometer away from the city center, house prices are expected to drop in 800 yuan; Every time the score of supporting facilities is increased by 1 point, the house price is expected to increase by 1200 yuan. The goodness-of-fit test of the model shows that the R value is 0.85, which shows that the model has strong explanatory power. In addition, through the correlation analysis of independent variables, it is found that there is a positive correlation between housing area and supporting facilities, but the correlation with other variables is weak. This study not only enriches the theoretical research of the real estate market, but also provides valuable decision-making reference for the government, enterprises and consumers, and helps the healthy and stable development of the real estate market in Tianjin.

Stimulus Policy in Uncertain Times: Evidence on the Impact in Real Estate Markets

The COVID-19 pandemic introduced historic high levels of economic and policy uncertainty alongside historic accommodative monetary and fiscal policy. Economists have theorized that uncertainty can inhibit market participants’ response to policy stimulus. We empirically tested whether the behavior of house prices following the COVID-19 pandemic is associated with changes in policy and economic uncertainty by examining a sample of 111 housing markets in the United States. We found that while accommodative monetary policy and several rounds of fiscal policy providing direct payments to households were made throughout the pandemic, house prices increased most significantly only after the uncertainty had resolved, nearly a year after the first policy moves. These effects were strongest in higher quantiles of the house price distribution and uncorrelated with the level of cash transfers received in the local housing market.

DOES A REDUCTION IN TAX RATES INFLUENCE TAX AGGRESSIVENESS? AN ANALYSIS WITH ADDITIONAL FACTORS

This study investigates the effect of reduction tax rates in Indonesia and other factors that may impact tax aggressiveness. This study employs multiple linear regression analysis, using E-Views 12 as analytical software. A sample of fourteen real estate and property companies listed on the Indonesia Stock Exchange (IDX) for 2017 to 2023 was identified through purposive sampling. This study relies on secondary data derived from the company's financial statements. The results showed that the reduction in tax rates and the presence of independent commissioners did not significantly affect tax aggressiveness. In contrast, institutional ownership and profitability factors positively correlate with tax aggressiveness, while leverage shows a negative correlation. It is expected that the results of this study will contribute to the development of taxation policies for companies in Indonesia, aiming to reduce aggressive taxation practices and assist companies in their tax-related decision-making framework.

The Impact of Crisis-Period Interest Rate Declines on Distressed Borrowers

Abstract We measure the causal impact of reductions in benchmark interest rates on the renegotiation and performance of distressed loans, using 2000s subprime mortgages as a laboratory. Subprime borrowers treated with larger benchmark rate reductions benefited from increased debt-renegotiation probabilities and lower debt-service payments. Modification rates were similar among current and delinquent borrowers but higher for real estate investors, highlighting the role of financial acumen in renegotiation. Renegotiations also reduced longer-run foreclosures, but treated borrowers who lingered in delinquency offset these benefits. Findings suggest monetary easing can spur debt renegotiation but alone may not lead to longer-run curative outcomes.

Analysis of financial contagion among economic sectors through Dynamic Bayesian Networks

Crises severely impact economies and may spread across regions or sectors in a process called contagion. Understanding this process is crucial for anticipating crises’ effects and implementing mitigative strategies. Specific economic sectors may be major crisis propagators: banking and insurance are often considered decisive in this context. This study employs Dynamic Bayesian Networks to model sectoral interdependencies within the U.S. economy, utilizing daily data from nine Dow Jones industrial indices over the period 2000–2020. As a secondary objective, we evaluate whether the insurance industry plays a central role in spreading crises. Several crisis periods are analyzed, from dot-com bubble to Covid-19 pandemic. The results reveal the subprime crisis, European debt crisis and the 2016 presidential election as the main contagious periods. The last analyzed period – Covid-19 pandemic – was divided in two phases, showing, on phase 1, an interconnected economic system with three main spreaders (Oil & Gas, Real Estate and Pharmaceutical) and, on phase 2, the same configuration of the post-subprime. Furthermore, although the insurance sector was somehow relevant during subprime crisis, it primarily acts as a contagion receptor, specially from the banking sector, with the correlation between them being the highest of all, reaching 0.49 at the last period.

Influences on financial statement integrity: the role of intellectual capital, independent commissioners, and gender diversity

<span>This study aimed to determined the impact of intellectual capital, independent commissioners, gender diversity, and financial statement integrity in property and real estate subsector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019-2023. Financial statement integrity was measured using market to book value (MBV). The population included property and real estate companies listed on the IDX for the period 2019-2023. Purposive sampling was used to select 8 companies meeting the criteria, providing a total of 40 observation data points. Panel data regression analysis was performed using E-views 12. Results indicate that intellectual capital, independent commissioners, and gender diversity had a simultaneous effect on financial statement integrity. However, intellectual capital and independent commissioners did not affect financial statement integrity, while gender diversity had a negative impact on financial statement integrity. Property and real estate companies should enhance financial statement integrity to increase investor confidence, strengthen market reputation, and gain sustained competitive advantage.</span>

Leveraging corporate governance characteristics for stock crash risk assessment

Causing considerable losses for individual investors, stock crashes are also potential triggers for wider financial crises. In contrast to existing research that primarily focuses on specific corporate governance characteristics in relation to stock crash risk, in this study, we construct a set of corporate governance attributes and employ machine learning techniques for a comprehensive assessment of stock crash risk. Through empirical analysis in the Chinese stock market, we find that our corporate governance attributes are effective indicators of stock crash risk, yielding statistically significant and economically meaningful crash risk assessment. Additionally, our heterogeneity tests suggest that firms with less concentrated shareholding result in superior assessment accuracy. This observation is consistent with prior findings that increased retail investor participation enhances corporate governance transparency, thereby contributing to better assessment performance. Industry-wise, the performance of crash risk assessment for real estate companies is higher than that for cultural, sports, and entertainment sectors. We speculate that these variations stem from industry-specific factors, such as business logic, operational models, and profit mechanisms. Our results also suggest that characteristics related to shareholder meetings are pivotal in assessing crash risks for manufacturing companies, while board-related features are essential for real estate firms. Overall, this study contributes to current literature by validating the feasibility of employing corporate governance characteristics to assess crash risk and by exploring the economic value of crash risk assessment. Furthermore, we discuss several valuable insights into the Chinese stock market through heterogeneity analysis.

A Neural Network Analysis of Accounting Variables and Stock Price: The Case of Real Estate Companies in the Philippines

A Neural Network Analysis of Accounting Variables and Stock Price: The Case of Real Estate Companies in the Philippines