Quantitative Risk Management in Real Estate – Previous developments, comparative comparision of practices and derivation of an evoluation matrix "

2018 ◽  
Author(s):  
Sven Bienert ◽  
Cay Oertel
Keyword(s):  

Author(s):  
Radu S. Tunaru

This chapter captures an overview of how real-estate risk is transferred to investors through securitization channels. A large part is dedicated to a less known financial instrument called balance guaranteed swap, which is a type of multi-period derivative contingent on cash-flows generated by a pool of mortgage loans. Emphasis is placed on the problems arising from modelling cash-flows and also revealed is the difficult task of dynamically managing the risk of the balance guaranteed swaps.



2014 ◽  
Vol 22 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Deepa Mani ◽  
Kim-Kwang Raymond Choo ◽  
Sameera Mubarak

Purpose – Opportunities for malicious cyber activities have expanded with the globalisation and advancements in information and communication technology. Such activities will increasingly affect the security of businesses with online presence and/or connected to the internet. Although the real estate sector is a potential attack vector for and target of malicious cyber activities, it is an understudied industry. This paper aims to contribute to a better understanding of the information security threats, awareness, and risk management standards currently employed by the real estate sector in South Australia. Design/methodology/approach – The current study comprises both quantitative and qualitative methodologies, which include 20 survey questionnaires and 20 face-to-face interviews conducted in South Australia. Findings – There is a lack of understanding about the true magnitude of malicious cyber activities and its impact on the real estate sector, as illustrated in the findings of 40 real estate organisations in South Australia. The findings and the escalating complexities of the online environment underscore the need for regular ongoing training programs for basic online security (including new cybercrime trends) and the promotion of a culture of information security (e.g. when using smart mobile devices to store and access sensitive data) among staff. Such initiatives will enable staff employed in the (South Australian) real estate sector to maintain the current knowledge of the latest cybercrime activities and the best cyber security protection measures available. Originality/value – This is the first academic study focusing on the real estate organisations in South Australia. The findings will contribute to the evidence on the information security threats faced by the sector as well as in develop sector-specific information security risk management guidelines.



2013 ◽  
Vol 25 (2) ◽  
pp. 99-110 ◽  
Author(s):  
Michele Schroeder


2021 ◽  
Vol 15 (2) ◽  
pp. 114-126
Author(s):  
Malka Thilini ◽  
Nishani Champika Wikcramaarachchi ◽  
P.A.N.S. Anuradha

After 30 years of war in Sri Lanka, the demand for real estate has increased tremendously across the nation. Similarly, numerous real estate sub-sectors have avidly participated in the worldwide boom. However, with failures and poor functioning of many investment projects, the industry's risk management reputation has been put in jeopardy, followed by the coronavirus (COVID-19). Though it is less popular among Sri Lankan property developers, risk management strategies in development projects have become a pressing requirement. This paper's goal is to look at commercial property development risk elements from the perspective of a real estate developer in relation to Social, Economic, Environmental, Technological, Political, and Pandemic Risks. The research first evaluates risk variables using a super decision software model based on the Analytic Hierarchy Process (AHP), then prioritizes the most important risk factors, and lastly examines effective risk management measures for successful real estate developments. The data collection has been carried out using interviews through telephone conversations with the help of a structured questionnaire. Accordingly, 35 risk factors have been assessed altogether. For the three projects, the synthesized values were 1.0000, 0.510763, and 0.604037, respectively. Based on the analysis of superMatrix calculation, project A is regarded as the best alternative project in such circumstances. Pandemic Risk, Economic Risk, and Political Risk have all had a significant impact on the primary risk criteria. Therefore, COVID-19 Pandemic Risk Emergence, Workforce Availability, Duration, Delays in Council Approval/License Approval Process and Natural Disaster Impact were identified as the highest influenced sub-risk factors. Identifying the risk factors on this avenue will also help in making better investment decisions while increasing the unpredictable nature of the real estate field and future satisfaction of loan team investment goals within the country.







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