Financial Institutions’ Lending and Real Estate Property Prices in China

2009 ◽  
pp. 475-493
Author(s):  
Perry Wong ◽  
Diehang Zheng
Keyword(s):  
Real Estate ◽  
Financial Institutions ◽  
Property Prices ◽  
Estate Property

scholarly journals A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
José-Luis Alfaro-Navarro ◽  
Emilio L. Cano ◽  
Esteban Alfaro-Cortés ◽  
Noelia García ◽  
Matías Gámez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Real Estate ◽  
Housing Stock ◽  
Ensemble Methods ◽  
Real Estate Market ◽  
The Real Estate ◽  
Property Prices ◽  
Close Relationship ◽  
Estate Property

The close relationship between collateral value and bank stability has led to a considerable need to a rapid and economical appraisal of real estate. The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. Although this methodology has already been applied to the real estate market to identify which variables influence dwelling prices, its use for estimating the price of properties is not so frequent. The application of this methodology has become more sophisticated over time, from applying simple methods to using the so-called ensemble methods and, while the estimation capacity has improved, it has only been applied to specific geographical areas. The main contribution of this article lies in developing an application for the entire Spanish market that fully automatically provides the best model for each municipality. Real estate property prices in 433 municipalities are estimated from a sample of 790,631 dwellings, using different ensemble methods based on decision trees such as bagging, boosting, and random forest. The results for estimating the price of dwellings show a good performance of the techniques developed, in terms of the error measures, with the best results being achieved using the techniques of bagging and random forest.

The Use of Benchmarks for Real Estate Portfolio Performance by UK Financial Institutions

2019 ◽  
Author(s):  
Edward Trevillion ◽  
Colin Jones ◽  
Alan Gardner ◽  
Stewart Cowe
Keyword(s):  
Real Estate ◽  
Financial Institutions ◽  
Portfolio Performance

The Use of Benchmarks for Real Estate Portfolio Performance by U.K. Financial Institutions

2020 ◽  
Vol 26 (2) ◽  
pp. 118-131
Author(s):  
Edward Trevillion ◽  
Alan Gardner ◽  
Stewart Cowe ◽  
Colin Jones
Keyword(s):  
Real Estate ◽  
Financial Institutions ◽  
Portfolio Performance

International Real Estate Review

2007 ◽  
Vol 10 (1) ◽  
pp. 1-25
Author(s):  
Elizabeth Hemphill ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Real Estate ◽  
Structural Equation ◽  
Equation Modeling ◽  
Process Step ◽  
The Real ◽  
The Real Estate ◽  
Estate Property ◽  
Modeling Data

This paper explores agent sales presentations in the real estate property listing process using structural equation modeling. Data were collected from both vendors and agents to identify important agent attributes in both successful and unsuccessful presentation attempts. The research found that agents consider really hearing the vendor, getting along with the vendor and getting to know the vendor as key elements of a listing attempt, whilst vendors suggest the path to listing is through negotiation, that some level of negotiation must take place. Research should now examine the influence of time in this critical listing process step with reference to both agent and vendor perspectives using metrics other than perceptions of vendor satisfaction.

scholarly journals The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland

2018 ◽  
Vol 1 (333) ◽  
Author(s):  
Dorota Dejniak
Keyword(s):  
Spatial Analysis ◽  
Real Estate ◽  
Real Estate Market ◽  
Graphical Form ◽  
Property Market ◽  
Strategic Decisions ◽  
The Real ◽  
The Real Estate ◽  
South Eastern ◽  
Estate Property

The aim of the article is to apply the method of spatial analysis to research the real estate property market in south‑eastern Poland. The methods of spatial statistics will be used to model the space differences of prices per one square metre of dwelling surface located in districts of south‑eastern Poland and to investigate spatial autocorrelation. The databases will be presented in a graphical form. The results may be used to set the spatial regularities and relations. The methods presented may be applied while making strategic decisions.

scholarly journals NON-PERFORMING PROPERTY LOANS AND ITS ORIGINATION IN THE REAL ESTATE FINANCE SYSTEM: CASE STUDY OF MALAYSIA

2021 ◽  
Vol 11 (1) ◽  
pp. 35-59
Author(s):  
Tham Kuen Wei ◽  
Rosli Said
Keyword(s):  
Real Estate ◽  
Financial Institutions ◽  
Developed Countries ◽  
Mortgage Market ◽  
Real Estate Finance ◽  
Islamic Banks ◽  
The Real ◽  
Finance System ◽  
The Real Estate ◽  
Secondary Mortgage Market

A healthy real estate finance system is crucial for any economy to grow and thrive. However, in recent years, the sustainability and soundness of the Malaysian Real Estate Finance System had been in question as the number of non-performing property loans had been on the rise. This paper looks into how property NPLs originate within the real estate finance system in Malaysia and its current performance in Malaysia. A descriptive research design was conducted utilizing in-depth case studies of Malaysia to examine Malaysia’s real estate finance system consisting of loan originators in the primary market and the special purpose vehicle involved at the secondary mortgage market where it was found that the Malaysian Real Estate Finance System is efficiently developed and on par with other developed countries with a robust primary mortgage market, effective secondary mortgage market and a vibrant capital market. Further analysis found that there are a total of 57 financial institutions that are property loan originators in Malaysia that consists of 26 Commercial Banks, 16 Islamic Banks, 2 International Islamic Banks, 11 Investment Banks, and 2 Special Financial Institutions. In terms of NPLs in Malaysia, property loans are the largest component of total NPLs in the country, and subsequent analysis found that the number of property NPLs in the country had been rising since 2015, after a long decade decline. This study warrants further research into the causes of property NPLs in the country so that the causes of property NPLs can be monitored as part of the country's strategic monetary policy to control and reduce the number of property NPLs in the country. Ultimately, this also helps to contribute towards a sound and robust real estate finance system in Malaysia.

scholarly journals Analysis of real-estate property issues between the Serbian Orthodox Church and the Montenegrin state in the context of adopting the Act on freedom of religion or belief and the legal status of religious communities

2020 ◽  
Vol 59 (88) ◽  
pp. 111-133
Author(s):  
Sanja Arežina
Keyword(s):  
Real Estate ◽  
Legal Status ◽  
Religious Community ◽  
Religious Communities ◽  
Freedom Of Religion ◽  
Adoption Process ◽  
Orthodox Church ◽  
The Status ◽  
Estate Property ◽  
Mutual Relations

The entry into force of the Act on Freedom of Religion or Belief and the Legal Status of Religious Communities (hereinafter: the Freedom of Religion Act) in January 2020 provoked reactions and protests from the Orthodox population of Serbian descent in Montenegro because some provisions of this Act allow for the confiscation of centuries-old real-estate property of the Serbian Orthodox Church dioceses in Montenegro. It should be noted that the Serbian Orthodox Church (SOC) is the only religious community in Montenegro with which the Montenegrin authorities have not concluded a Fundamental Agreement on the Regulation of Mutual Relations. In order to reach a compromise solution, negotiations have begun between the dioceses of the SOC in Montenegro and the Montenegrin authorities. In this article, the author discusses the history of relations between the SOC and the Montenegrin state in the period from the beginnings of Montenegrin statehood in the 15th century to the enactment of the the Freedom of Religion Act in early 2020. In particular, the paper focuses on the regulation of real-estate property issue in that period, the factors that influenced the adoption of this Act, the adoption process, the analysis of provisions related to real-estate property issues, and the recommendations of the Venice Commission. The author uses the structural-functional analysis, induction and deduction methods to prove the basic hypothesis that the Montenegrin authorities will not be able to ignore the legitimate rights of the SOC's dioceses in Montenegro regarding the regulation of real-estate property issues, and that the two sides will find an interest to reach a compromise during the negotiations on the disputed Act and conclude the Fundamental Agreement in order to permanently resolve the status of the Serbian Orthodox Church in Montenegro.

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