Risk Assessment of Housing Market Segments: The Lender’s Perspective

Wilhelmsson, Mats; Zhao, Jianyu

doi:10.3390/jrfm11040069

Cited by 6 publications

(3 citation statements)

References 67 publications

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“…This is because people usually have an aversion to risk. This is despite the fact that when the profit increases, i.e., in the case of a tourist paying a lower price for the rental, the risk may be still limited (Wilhelmsson and Zhao 2018). Therefore, there is a need to invest in the tourism sector to ensure the security of tourists by installing security measures.…”

Section: Introductionmentioning

confidence: 99%

Security Measures as a Factor in the Competitiveness of Accommodation Facilities

Nagaj

Žuromskaitė

2020

JRFM

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The main aim of this article was to assess whether the level of competitiveness of accommodation facilities results from the level of safety and security provided to consumers of these services, measured by the number of security measures applied in them. The authors’ task was to examine the level of concentration of security measures in the accommodation facilities and to assess whether the quality of services measured by the star-rating system provided a higher level of safety and security for customers of the accommodation facilities, measured by the number of security measures applied in them. It was decided to examine whether the level of concentration of security measures at the accommodation facilities was treated by these entities as a factor of their competitiveness. Two locations in Central and Eastern Europe, one in Poland and one in Lithuania, were analyzed. The article calculated the frequency of these measures at the accommodation facilities by type of facility (according to the star-rating system) and type of security measure (as a weighted average) and their concentration using the Herfindahl–Hirscham Index. The results showed that the higher the quality of services provided (more stars), the higher the level of safety and security is ensured. It was also found that a higher level of security was not reflected in the prices of accommodation services.

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Section: Introductionmentioning

confidence: 99%

Security Measures as a Factor in the Competitiveness of Accommodation Facilities

Nagaj

Žuromskaitė

2020

JRFM

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“…Nonetheless, lending continues to develop in many banks based on extensive approaches. The most widespread method of minimizing the risk used by the commercial banks is overstating the interest rate or establishing various types of surcharges (commissions) for using the loan, as a result of which there is a transfer of credit risk onto the responsible borrowers (Wilhelmsson and Zhao 2018). Apart from that, many banks do not have an appropriate level of organization for the monitoring and forecasting of operational risks due to the fact that the risk managers do not see them as a real threat, except for fraudulent actions of the borrowers or bank staff (Drobyazko et al 2020a;Nosratabadi et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Modeling of Bank Credit Risk Management Using the Cost Risk Model

Yanenkova¹,

Nehoda

Drobyazko³

et al. 2021

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This article deals with the issue of managing bank credit risk using a cost risk model. Modeling of bank credit risk management was proposed based on neural-cell technologies, which expand the possibilities of modeling complex objects and processes and provide high reliability of credit risk determination. The purpose of the article is to improve and develop methodical support and practical recommendations for reducing the level of risk based on the value-at-risk (VaR) methodology and its subsequent combination with methods of fuzzy programming and symbiotic methodical support. The model makes it possible to create decision support subsystems for nonperforming loan management based on the neuro-fuzzy approach. For this paper, economic and mathematical tools (based on the VaR methodology) were used, which made it possible to analyze and forecast the dynamics of overdue payment; assess the quality of the credit portfolio of the bank; determine possible trends in bank development. A scientific and practical approach is taken to assess and forecast the degree of credit problematicity by qualitative criteria using a mathematical model based on a fuzzy technology, which can forecast the increased risk of loan default at an early stage in the process of monitoring the loan portfolio and model forecasting changes in the degree of credit problematicity on change of indicators. A methodology is proposed for the analysis and forecasting of indicators of troubled loan debt, which should be implemented as software and included in the decision support system during the process of monitoring the risk of the bank’s credit portfolio.

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“…Using the owner-occupied apartment market segment of the Swedish market in Stockholm, Wilhelmsson and Zhao (2018) analyze the risks from housing apartments in different housing market segments. They analyze risk in this market from the lender's perspective, focusing on credit risk and market risk; they suggest that both can be reduced by diversification.…”

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confidence: 99%