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Operational risk management (ORM) systems - An Australian study.Pitinanondha, Thitima January 2008 (has links)
University of Technology, Sydney. Faculty of Engineering. / In today’s business environment, increased competition, market globalisation, increased customer demands and accelerated technologies require organisations to focus on efficiency in every aspect of their operations. Many studies in operations management have focused on the improvement of operational performance, including reduction of process variability, increasing flexibility or implementing controls in operations. However, managing the risk in operations seems to have been neglected by researchers. Hence, there are two major objectives of this study. The first objective is to investigate the use of the operational risk management (ORM) systems in Australia and study the factors that have an impact on effective operational risk management. Then, based on the identified factors, the second objective is to develop an ORM system implementation model and guideline for Australian organisations. A review of the ORM systems and its implementation was conducted. As a result of this investigation, a definition of ORM system in this study was formulated and the factors of effective ORM system implementation were identified as a basis for the next stage of this study. An investigation of the factors of ORM system implementation was then carried out. An extensive questionnaire survey was used to collect empirical data from Australian organisations. Statistical analysis results and feedback from experts was used to develop an applicable model and guideline for ORM system implementation. The main outcome of this study is a proposed model and guideline for ORM system implementation in Australian organisations, which will assist the organisation to manage operational risks more effectively and provide motivation for carrying out further research in ORM.
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Operational risk management (ORM) systems - An Australian study.Pitinanondha, Thitima January 2008 (has links)
University of Technology, Sydney. Faculty of Engineering. / In today’s business environment, increased competition, market globalisation, increased customer demands and accelerated technologies require organisations to focus on efficiency in every aspect of their operations. Many studies in operations management have focused on the improvement of operational performance, including reduction of process variability, increasing flexibility or implementing controls in operations. However, managing the risk in operations seems to have been neglected by researchers. Hence, there are two major objectives of this study. The first objective is to investigate the use of the operational risk management (ORM) systems in Australia and study the factors that have an impact on effective operational risk management. Then, based on the identified factors, the second objective is to develop an ORM system implementation model and guideline for Australian organisations. A review of the ORM systems and its implementation was conducted. As a result of this investigation, a definition of ORM system in this study was formulated and the factors of effective ORM system implementation were identified as a basis for the next stage of this study. An investigation of the factors of ORM system implementation was then carried out. An extensive questionnaire survey was used to collect empirical data from Australian organisations. Statistical analysis results and feedback from experts was used to develop an applicable model and guideline for ORM system implementation. The main outcome of this study is a proposed model and guideline for ORM system implementation in Australian organisations, which will assist the organisation to manage operational risks more effectively and provide motivation for carrying out further research in ORM.
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Currency risk management: retrospect and prospect.January 1991 (has links)
by Wong Chung Man. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1991. / Bibliography: leaves 72-73. / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / LIST OF TABLES --- p.vi / ACKNOWLEDGEMENT --- p.vii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Cash Flow Destablization due to Floating Exchange Rate --- p.2 / Role of Currency Risk Management in the Past --- p.2 / Changes Perceived in the Future --- p.3 / Scope of the Study --- p.4 / Objectives of the Study --- p.4 / Chapter II. --- METHODOLOGY --- p.6 / Overall Design --- p.6 / Data Used in the Study --- p.6 / Time Covered by the Study --- p.6 / Analytical Tools --- p.7 / Standard Deviation --- p.7 / Linear Correlation --- p.7 / Technical Analysis --- p.8 / Fundamental Analysis --- p.10 / Chapter III. --- DEFINITION OF CURRENCY RISKS --- p.15 / Non-Recurring --- p.15 / One-Off --- p.15 / Dealing Risk --- p.16 / Recurring --- p.17 / Financial Structural Risk --- p.17 / Business Structural risk --- p.18 / Chapter IV. --- WHY CURRENCY RISKS ARISE --- p.19 / Individual or Household --- p.19 / Investment/Speculation --- p.19 / Overseas Commitment --- p.19 / Corporation or Firm --- p.20 / Risks Indirectly Associated with Foreign Exchange --- p.20 / Risks Directly Associated with Foreign Exchange --- p.23 / Chapter V. --- CURRENCY RISK MANAGEMENT IN 80'S - A RETROSPECT --- p.24 / Change of Sophistication --- p.24 / 1980 - 1984 --- p.24 / 1985 - 1987 --- p.26 / 1988 - 1990 --- p.28 / Currency Characteristics and Correlations --- p.30 / Findings --- p.31 / Weakness of Economic Models --- p.35 / No Stable Relationship Between Current Account and Exchange Rate --- p.35 / Positive Relationship Between Interest Rate and Exchange Rate --- p.35 / Protracted Long Run Movements of Real Exchange Rate --- p.36 / Chapter VI. --- ROLE OF TECHNICAL ANALYSIS IN CURRENCY RISK MANAGEMENT --- p.37 / Concept of Near-Rationality --- p.37 / Exchange Rate Determination in Near-Rational World --- p.40 / Test of Technical Analysis --- p.42 / Chapter VII. --- CONCLUSION --- p.47 / Prospects in the Nineties --- p.48 / APPENDIX --- p.67 / BIBLIOGRAPHY --- p.72
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The effectiveness of risk management practices of small, medium and micro enterprises (SMMEs) which provide microfinance in the Cape Metropole, South AfricaChakabva, Oscar January 2015 (has links)
Thesis (MTech (Internal Auditing))--Cape Peninsula University of Technology, 2015. / Approximately 57% of the total population in South Africa lives under the poverty line. In this regard, Small, Medium and Micro Enterprises (SMMEs) which provide microfinance play a vital role to provide access for poor households to banking-related financial services. This service can only be delivered sustainably through means of deploying effective management practices, especially in terms of risk management. The purpose of this research is to identify risks faced by microfinance SMMEs and to establish the effectiveness of the current risk management practices deployed by them. This study aims at increasing the knowledge base and understanding of risk management practices by conducting a comprehensive literature review and field research. In order to establish a theoretical basis, a comprehensive literature review was performed and prior studies on various aspects relating to microfinance risk management were investigated. This was followed by a field research which studied the risk management of microfinance providers in the Cape Metropole; large financial service providers like commercials banks were excluded. Data were collected by means of a questionnaire from microfinance providers in the Cape Metropole. These microfinance providers were drawn from a list of credit providers that was obtained from the National Credit Regulator (NCR) public domain. A purposive sampling method was used to select the participants for this study. The information provided by participants is kept strictly confidential and anonymity of all respondents was guaranteed. This research noted that collaterals are absent in microfinance and instead, a close connection between microfinance SMMEs and their clients come into place. Risk management frameworks which provide an all-inclusive approach to risk management are largely absent in microfinance SMMEs. Much fewer microfinance SMMEs actively identify risks, categorise, prioritise and document them appropriately. The research further showed that the views on risk management depend on whether the respondent is an owner or a manager of the enterprise.
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Price discovery of credit riskDu, Yibing. January 2009 (has links)
Thesis (Ph.D.)--University of Texas at Arlington, 2009.
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Identifying operational risk management as a source of competitive advantage :Fung, Mackie. Unknown Date (has links)
This dissertation provides a review of the relevance of operational risk in the banking industry and attempts to determine whether operational risk management is perceived as a moderating factor on the relationship between critical success factors and competitive advantage in banking industry. A survey was of 399 senior managers of fully licensed banks in Hong Kong. They were asked to indicate the perceived critical success factors, which include operational risk management as one of the variables in the banking industry. In addition, they were also asked to evaluate the relevance of operational risk in their industry and describe their bank's operational risk management practice. / Thesis (DBusinessAdministration)--University of South Australia, 2006.
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Cognitive biases in risk managementSiefert, William Thomas, January 2007 (has links) (PDF)
Thesis (M.S.)--University of Missouri--Rolla, 2007. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed February 14, 2008) Includes bibliographical references (p. 44-45).
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Accounting numbers and the perceived risk class of Hong Kong companies /Selvaratnam, Ratnajothy Maharajendra. January 1996 (has links)
Thesis (Ph. D.)--University of Hong Kong, 1996. / Includes bibliographical references.
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Dependent risk modelling and ruin probability : numerical computation and applicationsZhao, Shouqi January 2014 (has links)
In this thesis, we are concerned with the finite-time ruin probabilities in two alternative dependent risk models, the insurance risk model and the dual risk model, including the numerical evaluation of the explicit expressions for these quantities and the application of the probabilistic results obtained. We first investigate the numerical properties of the formulas for the finite-time ruin probability derived by Ignatov and Kaishev (2000, 2004) and Ignatov et al. (2001) for a generalized insurance risk model allowing dependence. Efficient numerical algorithms are proposed for computing the ruin probability with a prescribed accuracy in order to facilitate the following studies. We then propose a new definition of alarm time in the insurance risk model, which generalizes that of Das and Kratz (2012), expressed in terms of the joint distribution of the time to ruin and the deficit at ruin. The alarm time is devised to warn that the future ruin probability within a finite-time window has reached a pre-specified critical level and capital injection is required. Due to our definition, the implementation of the alarm time highly relies on the computation of the finite-time ruin probability, which utilizes the previous results on computing the ruin probability with a prescribed accuracy. The results of the ruin probability and the alarm time are then transferred nicely to a generalized dual risk model, whose name stems from its duality to the insurance risk model, through an enlightening link established between the two risk models. Finally, based on the two alternative risk models, we introduce a framework for analyzing the risk of systems failure based on estimating the failure probability, and illustrate how the probabilistic models and results obtained can be applied as risk analytic tools in various practical risk assessment situations, such as systems reliability, inventory management, flood control via dam management, infection disease spread and financial insolvency.
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Project management and the film industry value chain : the impact of cognitive biases on value creation and learningFinney, Angus January 2014 (has links)
This thesis applies an ethnographic, qualitative research approach to a central question: In what ways does the presence of cognitive biases impact negatively on project management decision-making in the film industry? Are there ways that biases can best be avoided or at least reduced? This thesis cites evidence that managers are consistently unable to devise ways of effectively escaping the impact of cognitive bias, and that the majority are unaware of potential negative bias. My study explores whether and in what ways a deep knowledge of cognitive bias helps surmount the apparent limitations it imposes. My findings suggest that strategies involving cognitive behavioural theory provide researchers with significant insights into our understanding of creative management strategies to manage projects. Building on an extensive body of literature focused on biases in decision-making and their impact on forecasting, implementation and strategy, my thesis explores the concept that deep-seated cognitive habits have a direct impact on entrepreneurs’ ability to manage creative projects successfully. Drawing on my ethnographic and participant observer data over two decades of film industry research and practitioner-derived experience, I examine how useful cognitive bias theory is from a practical perspective. The film industry provides a rich seam of research and an intriguing case site. It provides a relevant environment to interrogate because film companies are essentially organised around projects. I cite evidence that suggests that managers capable of ‘switching gears’ and who openly acknowledge and embrace the role cognition plays in the leadership process gain both a creative and a competitive advantage. By testing this concept through the lens of the value chain model, we can begin to develop a cognitive methodology that inspires practical tools capable of navigating uncertainty and capturing value and knowledge.
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