Thesis (Ph. D.)--University of Wisconsin--Madison, 1972. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 192-202).

Thesis (M. Com.)--University of Canterbury, 2009. / Typescript (photocopy). "March 2009." Includes bibliographical references (leaves 81-82). Also available via the World Wide Web.

Thesis (doctoral)--Universität Hamburg, 1982. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Bibliography; leaves 347-352.

The main goal of thesis is to give explanation of credit insurance process. Theoretical unit describes potential risks in the international and domestic trade and instruments by which these risks can be eliminated or reduced. The practical part is focus on the service of credit insurance as an effective tool to ensure against the risk. On the case study is calculated by using Net Present Value dependence on the size of discount rate, size of insured loss and date of insurance claim. In the final part of the thesis author take a think of what extent are credit insurance companies responsible for the deepening of economic recession.

Backgounding beef cattle is an inherently risky venture. Producers faceproduction risks as well as marketing risks. If a backgrounding operation is to be viable,these risks should be addressed and effectively managed. While some effective riskmanagement tools are currently available to livestock producers, some other potentiallyuseful risk management tools, for various reasons, have been previously unavailable.Two such tools which could help livestock producers achieve the overall goal ofmanaging net income risk are a program for managing feed ingredient nutrient and pricevariability in the selection of minimum cost feed rations and government subsidizedlivestock price insurance.Due to lack of data and limited computational power of solvers, risk has seldombeen introduced into the feed ration selection process. Presently, both feed ingredientnutritional data and appropriate solvers are available, allowing for risk to be fullyconsidered in this decision-making process. Only recently has there been policy effortsto establish subsidized price or revenue insurance for livestock producers. Theintroduction of such insurance to livestock producers offers potential risk managementbenefit but also has the potential to introduce improper incentives to livestock producers.This study will evaluate both of the aforementioned livestock risk managementtools. In addition to evaluating their effectiveness, the policy concerns of subsidizedlivestock insurance will also be addressed. Results will be relevant to a broad range ofentities. In addition to livestock producers wishing to manage the risks associated withtheir operations, agribusinesses that provide service to these producers such as feed salesor financial lending will benefit from knowing how these risk management strategiesperform. Furthermore, policy makers who will structure livestock insurance products canhopefully do so more efficiently based on the results of the livestock insurance analysis.

No description available.

M.Com. (Business Management) / Risk management is an important factor in ensuring business and project success. Thus, risk management methodologies are constantly being developed and improved. In order to define the goals, specify the process and manage progress, it is necessary to have a clear view of the enterprise‟s current approach to risk, as well as a definition of the intended destination. Benchmarking offers the opportunity to determine the current maturity capability against agreed frameworks, and also provides a structured route to improvement. A generally accepted framework is needed in order for an organisation to benchmark its current maturity and capability in managing risk, and this framework should also assist in defining progress towards increased maturity. Being an assessment tool, a risk maturity model is designed to measure risk management capability and to provide objectives for improvement The purpose of the research is to identify, adapt and recommend a sound risk maturity model, together with an easily applicable and effective questionnaire for use to measure the risk capability maturity of a Life Insurer (“Liberty Life”). To achieve this aim, six risk management maturity models were identified through a literature review and the proposed model was further supported with long-term insurance specific attributes of risk management as advocated by leading corporate governance codes and regulations such as King III and the newly proposed Financial Services Board (FSB) Solvency Assessment and Management (SAM) regime. Despite the widening consensus on the value of risk management, effective implementations of risk processes into organisations are not common. The benefits of mature risk management have been discussed in Chapter 2. By adopting an exploratory approach, the researcher conducted a qualitative research project, in the form of an in-depth case study, on a multinational financial services organisation. Unstructured face-to-face interviews were held with senior executives and risk managers in order to gather data regarding what they perceive as key attributes, including acceptable measurement criteria, of a risk maturity model appropriate and effective for implementation in their organisation.

Master of Science / Department of Agricultural Economics / Kevin C. Dhuyvetter / Risk is an inevitable part of production agriculture. Price risk is especially a concern for cattle producers in the Midwest. Producers can curtail profit volatility, to an extent, through the utilization of price risk management strategies such as forward contracting, hedging, using put and call options, Livestock Risk Protection Insurance (LRP), as well as Livestock Gross Insurance (LGM) for feedlot cattle. Learning about such price risk management tools can be a daunting task. Kansas State University Extension created a computer based simulation workshop to assist them in teaching cattle producers about price risk management strategies. The simulation paralleled a lecture where participants learned of the price risk management strategies that are available. The simulation allowed the workshop participants to practice using the management strategies as they assumed the role of a feedlot or ranch manager in charge of marketing the operation's calves. In a cooperative effort with Iowa State University, Kansas State University presented the Cattle Risk Management Workshops across the state of Iowa. Participants were given pre-and posttests to measure the effectiveness of the workshop. The overall post-test scores were 25 percentage points higher than the pre-test scores. This research also discusses the interest and perceptions of cattle producers regarding price risk management strategies. The effectiveness of simulations as a teaching tool in helping producers learn about price risk management strategies is also reviewed. In addition, the various price risk management strategies available to producers, as well as seasonality of prices and basis are analyzed. This research also explains and estimates the LRP Feeder Cattle Basis Model. The LRP Feeder Cattle Basis Model was developed with the objective of assisting producers in forecasting LRP basis. The model was developed using similar methodology applied in the creation of a CME basis forecasting model developed by Kansas State University Extension and Custom Ag Solutions, Inc. The LRP Feeder Cattle Basis Model automatically adjusts for the LRP price adjustment factor applied to beef steer calves weighing less than 600 pounds, and beef heifers weighing 600-900 pounds. The LRP Feeder Cattle Basis Model explains 71.37 percent of the variation of LRP basis.