Mortgage Securitization; Pricing and Risk Management

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.

Author(s):  
Radu S. Tunaru

The purpose of this chapter is to familiarize the reader with the concept of mortgages and to describe the behavioural factors behind decisions to prepay and default on mortgages that ultimately influence the evolution of real-estate markets. The other scope of this chapter is to highlight the complexity of the financial modelling related to the real-estate area, and to mortgages in general. Mortgage loans are contracts carrying real-estate risk. They represent a large part of the assets in the banking systemsworldwide and banks find it difficult to hedge this asset class against real-estate risk. Prepayments and default models are essential to any risk management enterprise looking to contain this type of risk, and they are reviewed in this chapter. There are many models proposed in the academic and practitioner literature, but there is not a single model that is widely accepted.


Author(s):  
Dandes Rifa

The main objective of risk management is to minimize the potential for losses (risk) arising from unexpected changes in currency rates, credit, commodities and equities. One of the risks faced by companies is market risk (value at risk). This article aims to explain that risk management can be one of them by using derivative products. Derivative transactions is very useful for business people who want to hedge (hedging) against a commodity, which always experience price changes from time to time. There are three strategies that can be used to hedge the balance sheet hedging strategy, operational hedging strategies and contractual hedging strategies. Staregi contractual hedging is a form of protection that is done by forming a contractual hedging instruments in order to provide greater flexibility to managers in managing the potential risks faced by foreign currency. Most of these contractual hedging instrument in the form of derivative products. The management can enhance shareholder value by controlling risk. -Party investors and other interested parties hope that the financial manager is able to identify and manage market risks to be faced. If the value of the firm equals the present value of future cash flows, then risk management can be justified. 


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.


2011 ◽  
Vol 2011 ◽  
pp. 1-64 ◽  
Author(s):  
M. A. Petersen ◽  
J. Mukuddem-Petersen ◽  
B. De Waal ◽  
M. C. Senosi ◽  
S. Thomas

We investigate the securitization of subprime residential mortgage loans into structured products such as subprime residential mortgage-backed securities (RMBSs) and collateralized debt obligations (CDOs). Our deliberations focus on profit and risk in a discrete-time framework as they are related to RMBSs and RMBS CDOs. In this regard, profit is known to be an important indicator of financial health. With regard to risk, we discuss credit (including counterparty and default), market (including interest rate, price, and liquidity), operational (including house appraisal, valuation, and compensation), tranching (including maturity mismatch and synthetic) and systemic (including maturity transformation) risks. Also, we consider certain aspects of Basel regulation when securitization is taken into account. The main hypothesis of this paper is that the SMC was mainly caused by the intricacy and design of subprime mortgage securitization that led to information (asymmetry, contagion, inefficiency, and loss) problems, valuation opaqueness and ineffective risk mitigation. The aforementioned hypothesis is verified in a theoretical- and numerical-quantitative context and is illustrated via several examples.


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