Major paper (M.U.R.P.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 64-69). Also available via the Internet.

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Vita. Includes bibliographical references.

Master of Agribusiness / Department of Agricultural Economics / Allen M. Featherstone / Cash management practices for corporate treasurers are in a state of instability in recent years. Events during the credit crisis of 2008 have had an impact on how organization’s cash positions are managed. This has led corporate treasurers to juggle unprecedented amounts of cash across multiple bank counterparties and invest these funds based on previous investment policies with potentially inflexible limits. Many regulations have been passed to strengthen domestic and global financial systems, yet the risk of default is not completely removed and there are many uncertain ties that corporates face. To succeed in the uncertain financial environment, counterparty risk tools must be put in place to improve the visibility of potential operational risk, along with a higher frequency of reviewing and updating investment policies. It is crucial for corporates to look beyond the traditional market perceptions and bank credit ratings to evaluate counterparty risk. Although these continue to be a valuable metric, they should be incorporated with other forward looking market risk metrics such as credit default swaps, capital and asset resiliency metrics, and growth and profitability metrics to their current investment guidelines review. By integrating risk metrics to help formulate an investment policy, corporates can adapt to the changing financial environment. This thesis examined methodologies to develop a more accurate and immediate viewpoint of counterparty creditworthiness. This was done through the creation of models using market information to set values to view the strength of counterparties and the likelihood of default. Models were created for both financial institutions and countries where cash or investments are placed. Depending on the models, this restricts the permissible investment options that an institution or country has. This approach allows the company to invest more with higher rated counterparties, and sets a maximum to those who are deemed high risk of default. The findings of this thesis identified that it is crucial to classify the right metrics and look beyond traditional market perceptions and bank credit ratings. By implementing a balanced process that regularly monitors current market indicators of counterparty risk, an organization will be in a stronger position to define and determine the potential risk. This creates a balanced view of both backward looking and forward looking metrics such as long term debt ratings and credit default swaps. These metrics were useful indicators of a counterparty’s strength. Because of the wide range of information available and cost, it went beyond the resources of the company to perform detailed ongoing analysis. It was also identified that a risk-adjusted approach to setting counterparty limits is crucial for managing counterparty exposure and the risk of default. To optimize liquidity, it is in the company’s best interest to place higher balances in institutions with the lowest risk of default. Grouping banks into tiers and assigning a percentage of total balance to each tier allows for financial institutions to have a specific limit capacity. Incorporating these tools on a frequent basis allows for real-time analysis of counterparty exposure and risk.

Submitted by Pedro Henrique Rodrigues (pedro.henriquer@ufpe.br) on 2015-03-05T18:53:32Z No. of bitstreams: 2 Dissertacao_Liliane.pdf: 2808869 bytes, checksum: 6681e2b17bafbf1b2fb94a8f0d2ad701 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) / Made available in DSpace on 2015-03-05T18:53:32Z (GMT). No. of bitstreams: 2 Dissertacao_Liliane.pdf: 2808869 bytes, checksum: 6681e2b17bafbf1b2fb94a8f0d2ad701 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2012-03-01 / CAPES, CNPQ / One recurrent issue in software development is the effective creation of testcases from requirements. Several techniques and methods are applied to minimize the risks associated with test cases building, aiming to meet the requirements specified correctly. Risks identification for requirements assessment is essential to tests cases generation. However, test engineers still face difficulties to apply it in practice due to the lack of solid knowledge about Risk Management activities and tool support for such activities. This work proposes a technique that helps test engineers in risk identification from requirements for software testing. From studies that used the similarity concept to compare software projects in order to reuse previously identified risks, the developed technique uses the same assertion applied to requirements. Within this context, this work aims to: (i) to define a technique based on analogies by categorizing requirements, thus being able to identify risks through a database of similar requirements, and (ii) to reuse risks previously identified at requirements for the evaluation of new requirements.

The global over-the-counter derivatives market reached a staggering 14.5 trillion US dollars in gross market value at the end of December 2007. Although OTC derivatives are extremely useful and versatile in transferring risks, it appears to be a double-edged sword. For every derivative transaction concluded in the OTC market, there are two parties involved – each of which is exposed to the other defaulting on the agreed terms and conditions of the contract. Counterparty credit risk is defined as the loss that will be incurred in the event that a counterparty fails to honour its financial obligations. This dissertation provides an overview of counterparty credit risk measurement from a theoretical point of view and puts an emphasis on the demonstration of the current solutions used in practice to address this problem. The author applies a bottom up approach to the problem by defining counterparty credit risk exposure on a contract (single-trade) level and expands this definition on a step-by-step basis to incorporate portfolio effects, such as correlation among underlying market variables as well as credit risk mitigation techniques, such as netting and collateral agreements, in measuring counterparty credit risk exposure on a counterparty level. The author also discusses related concepts which impact counterparty credit risk such as wrong-way risk and proposes an enhancement to the framework introduced by Finger (2000) for incorporating wrong-way risk into existing measures of counterparty credit risk exposure. Finger‟s framework is enhanced by the introduction of a structural model approach which can be used in establishing a functional and intuitive relationship between the probability of default of the counterparty and the underlying market variable to the derivative contract under consideration. This approach is also applied to a typical South African situation through the use of Monte Carlo simulation. The topic of counterparty credit risk modelling is a very relevant topic in modern finance, especially since the advent of Basel 2 which this dissertation also touches on in terms of the applications of counterparty credit risk modelling and how this relates to the minimum regulatory capital requirements set by bank regulators. Copyright / Dissertation (MSc)--University of Pretoria, 2009. / Mathematics and Applied Mathematics / unrestricted

This qualitative study was designed to explore the experience of risk factor modification from the perspective of patients who had sustained an acute myocardial infarction. Research has shown that modification of coronary risk factors including stopping smoking, reducing hypercholesterolemia and obesity, reducing hypertension, developing a habit of regular exercise, and developing methods to modify the coronary-prone behavior pattern reduces morbidity and mortality due to coronary heart disease. The literature reviewed indicated that cardiac rehabilitation programs are generally structured to provide the patient with information on coronary artery disease. However, it has been shown that information alone may not be enough to ensure that changes in behavior occur. Since there was a scarcity of information on measures to assist patients to modify their coronary risk factors, and as the literature indicated that the experience of risk factor modification had not been explored from patients' perspectives, a phenomenological design was therefore selected as the methodology for this study. Data were collected through twelve in-depth interviews with six participants. A guide of semi-structured questions was used for the initial interview and additional questions were generated from the data themselves. The constant comparative method of data analysis enabled the researcher to construct an analytic framework which represented patients' perceptions of their experiences in risk factor modification. In this framework, the central theme of patients' experiences was gaining mastery over their risk behavior(s). Gaining mastery occurred in three phases: searching for attribution, acknowledging risk, and attaining control. In attaining control, various cognitive and behavioral strategies were identified which led to a delineation of measures that could be provided to assist other patients in modifying their coronary risk factors. The findings demonstrated that a unique perspective of risk factor modification has been provided by patients based on their own experiences. It was also shown that intervention, consisting of teaching, counseling, and support, is essential to each phase of this process. The implications of this study focus on the importance of intervention in both in-hospital and out-patient cardiac rehabilitation programs. Intervention to assist patients to develop and use those skills that will enable them to gain a sense of mastery over their risk behaviors is essential if an initial or recurrent myocardial infarction is to be prevented. Implications for nursing practice, education, and research are outlined in light of the research findings. / Applied Science, Faculty of / Nursing, School of / Graduate

D.Ing. / For executive management to guide an enterprise, strategic planning is essential. Using Enterprise Wide Risk Management (EWRM) as an input to Scenario Analysis (SA) for Strategic Planning (SP) allows for improved accuracy over conventional methods. This would allow for greater realism from the executive management perspective of possible outcomes in scenario modelling by providing a solid quantitative base founded on real operational information. Emerging regulatory legislation for corporates also require quantitative risk management in the enterprise for reporting and rating purposes, providing a wealth of information for scenario modelling purposes. From the outset this research focuses on the industrial sectors in South Africa, though the model could be applied to any industry sector internationally. The core of any industrial enterprise is made up of the Operational Support Systems (OSS) that provide the hardware and software infrastructure to operate the business. The smooth operation and efficient handling of any unforeseen events in the OSS impacts the very survival of the en- terprise in a highly competitive environment. The development of an OSS risk management (RM) strategy to provide an efficient and effective way to recognise, classify and mitigate the risks involved in OSS is thus crucial to any enterprise that seeks to remain competitive. To implement this RM strategy and provide information regarding likely loss events, a quantitative risk model is required to simulate different scenarios. This research investigates the development of a Sector Wide Risk Model (SWRM) to simulate stress events in an industry sector and their impact on sector members.

M.Ing. (Engineering Management) / This mini-dissertation provides an overview of enterprise risk management and its components, while focusing on risk analysis and risk models. Since all entities face uncertainty with respect to the aspects that they interact with, enterprise risk management aims to maximize value to stakeholders. One of the tools used in the risk assessment component of enterprise risk management is a quantitative assessment technique called risk modelling. Risk modelling allows various risks to be evaluated by observing their effects on simulation outputs. Decision making under uncertainty has become heavily reliant on risk models, resulting in more complex models being formulated and utilized. As such, the risks associated with the modelling of risks are becoming increasingly more pervasive in risk management and whose effects are just as severe (if not more so, due to their lack of awareness). A more in depth examination of model risk is performed and discussed in order to highlight its lack of awareness, extent and implications, and theoretical limits in risk modelling. Using this background information, the analysis of models used in literature for pricing in telecommunications wireless mesh networks is conducted in order to evaluate their model risks. This analysis shows that very few publications acknowledge the shortcomings of their models, let alone evaluate or discuss them in any way. Further, this analysis shows that some of the models and their assumptions produce pointless results. A simple investigation of the risks associated with their models would have produced results that are more conclusive and substantiatable, and with less flaws. Although the model risk analysis has been performed on models that simulate certain billing aspects of telecommunication wireless mesh networks, the model risk a alysiscan just as easily be performed on any other models or risk models. The aim of this mini-dissertation is to provide an overview of model risk and its impact, and also highlight the importance of including the management of model risk in the enterprise risk management process.

This final thesis deals with the risk management of the insurance company within the establishment of the new concept Solvency II valid for the each European Union member states in insurance industry. In first part, there are defined risks of the insurance company. Lamfalussy's legislative process used for concept Solvency II establishment is described in second part. New concept Solvency II, their objectives, three props, implementation time schedule as well as analysis of five quantitative impact studies is determined in third part. Final part of this thesis is focused on Risk management of the insurance company.

The aim of this study is to analyse political-security risk in Uganda. It emanates from the research question: Does Uganda pose a political-security risk to prospective foreign investment or involvement? The need to move beyond a political risk analysis without entering into a country risk analysis, poses the research problem to develop a political-security risk analysis framework and to apply it to Uganda. This problem generates three subsidiary questions: How appropriate (or inappropriate) are existing risk analysis frameworks? Do existing frameworks contain generic elements that can provide a basis for a synthesised framework? To what extent is a country specific framework applicable to other countries? Therefore, three sub-problems are addressed, namely to determine the appropriateness of selected frameworks; to identify generic elements to construct a synthesised framework; and to assess the applicability of this framework for the analysis of political-security risk in other African countries. Following a definition of the concepts risk, country risk, political risk and political-security risk (analysis), selected frameworks for risk analysis were analysed. The generic elements of these frameworks, namely The Economist (EIU), Business Environment Risk Intelligence (BERI), International Country Risk Guide (ICRG) and Political Risk Services (PRS) frameworks, were reduced to three categories and synthesised into a single framework which was applied to Uganda. The categories of risk indicators pertained to security, political and socio-economic risks respectively. These indicators and the allocated risk scores were used to construct a political-security risk index in respect of which the summed scores provided an index figure of risk that was interpreted in accordance with an interpretation scale. In respect of Uganda, its more recent political history was described and the political, security and socio-economic circumstances prevailing in the country analysed. These conditions were assessed and measured against the indicated risk factors and according to the risk index. The summed political-security risk index score for Uganda was 55.5 out of a maximum of 100. In accordance with the interpretation scale, this constitutes an intermediate risk. Based on this Uganda is not, at present, the most suitable destination for foreign investment or involvement. This does not disallow investment or involvement but if indeed the case, it should be done with circumspection. The situation is volatile to the extent that it can rapidly change for the better or the worse, depending on trends concerning the risk categories, or more specifically a turn of events in respect of a particular key risk indicator. Since the synthesised risk analysis framework is able to accommodate key variables pertaining to politics and security in African states, and since it has provided an indication of risk in respect of Uganda, it is suggested for application to other African states. The need for modification, based on the particularities of other countries, is not excluded. It is also proposed that similar exercises be conducted at intervals of six months. This will indicate whether the variables used were, in fact, valid and reliable, and whether additional variables should be included. The repetition of the analysis also indicates risk trends and allows for the monitoring of risks, which will be conducive to risk management. / Dissertation (MSS (Political Sciences))--University of Pretoria, 2003. / Political Sciences / unrestricted