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From Incidents Handling to Suggest a Framework for Better Control of Operational Risk陳香君, Chen,Hsiang Chun Unknown Date (has links)
由帶領處理三件銀行作業疏失看作業風險 / The initial idea to this paper is from the experience of leading the taskforces in real operating losses which included a series of plans in root cause identification, control gaps assessment, financial impact analysis, and corrective actions implementation. Secondly, a snapshot on the recent famous scandals in the world to prove the control breakage is from the similar factors but might be with different combinations. The similar factors could be concluded due to the definition of Operational Risk is clearly provided by the Basel. Thirdly, from the viewpoint of new regulation to highline the environment did change to affect the competition by different capital reserve. Finally, try to provide a comprehensive internal framework in a Bank. The content is organized to descript below per chapter.
Chapter 1 is the object and approach to this paper.
Chapter 2 is to brief from environment overview to highline the impact of capital charge requirement for operating risk and effect of internal control on financial reporting.
Chapter 3, outlook in the recent scandals to echo the importance of internal control as well as operating risk.
In chapter 4, three significant incidents from taking a lead to conduct a series of investigation taskforces, an overall picture from inside out to address the failure in operating error, the financial impact, and corrective actions plan.
In chapter 5, it is to provide a design of the internal control framework, as well as the implementation in daily operation from end to end.
Finally in chapter 6, making a conclusion and recommendation to wish more feedback in strengthen the control of operation risk.
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Statistical modelling of operational risk.January 2006 (has links)
Yeung Yu Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 35-38). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Risk Measures --- p.3 / Chapter 2.1 --- Extreme Value Thoery --- p.4 / Chapter 2.2 --- Estimating Excess Distributions --- p.7 / Chapter 2.3 --- Estimating Tails of Distributions --- p.9 / Chapter 2.4 --- VaR and ES --- p.10 / Chapter 3 --- Fitting VaR Time Series --- p.13 / Chapter 3.1 --- Autoregressive Integrated Moving Average Models --- p.13 / Chapter 3.2 --- Regression Quantiles --- p.14 / Chapter 4 --- Analysis of Hang Seng Index --- p.16 / Chapter 4.1 --- Risk Measures --- p.20 / Chapter 4.2 --- Backtesting --- p.21 / Chapter 4.3 --- Expected Shortfall --- p.25 / Chapter 4.4 --- Forecasting VaR and ES --- p.26 / Chapter 4.4.1 --- Regression Quantiles --- p.27 / Chapter 4.4.2 --- ARIMA Models --- p.28 / Chapter 5 --- Conclusion --- p.33 / References --- p.35
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Mechanisms to identify synergies between compliance and operational risk functionsMazula, Wandile January 2016 (has links)
Academic literature is limited on how to coordinate the compliance and operational risk functions in organisations. The functional overlap between these two functions in financial institutions, such as banks, may result in oversight gaps or unintentional duplication. This paper describes a study on the overlap between these two functions in the second line of risk and control defence. A number of documents were analysed including relevant Basel Committee documents; South African banking legislation and regulations; integrated annual results, risk and capital reports of the four largest South African (the Big Four) banks; as well as internal operational risk and compliance documents of one of the Big Four banks. Based on this study, regulatory and practice based guidelines are proposed, which may be used to improve the efficiency of the compliance and operational risk functions in banks.
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Mechanisms to identify synergies between compliance and operational risk functionsMazula, Wandile January 2016 (has links)
Academic literature is limited on how to coordinate the compliance and operational risk functions in organisations. The functional overlap between these two functions in financial institutions, such as banks, may result in oversight gaps or unintentional duplication. This paper describes a study on the overlap between these two functions in the second line of risk and control defence. A number of documents were analysed including relevant Basel Committee documents; South African banking legislation and regulations; integrated annual results, risk and capital reports of the four largest South African (the Big Four) banks; as well as internal operational risk and compliance documents of one of the Big Four banks. Based on this study, regulatory and practice based guidelines are proposed, which may be used to improve the efficiency of the compliance and operational risk functions in banks.
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Measuring operational risk in the ALCO process / by Charmaine SmitSmit, Charmaine January 2008 (has links)
Thesis (M.Com. (Risk Management))--North-West University, Potchefstroom Campus, 2009.
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A Study of the Regulatory Treatment of Operational Risk in the New Basel Capital AccordLee, Tseng-chang 30 June 2005 (has links)
The Basel Committee was established as the Committee on Banking Regulations and Supervisory Practices.There was a strong recognition within the Committee of the overriding need for a multinational accord to strengthen the stability of the international banking system and to remove a source of competitive inequality arising from differences in national capital requirements. A capital measurement system commonly referred to as the Basel Capital Accord (or the 1988 Accord) was released to banks in July 1988. In 2000, the Committee issued Consultative Document (CP2) designed to incorporate operational risk. In June 2004, the Committee published the document ¡§International Convergence of Capital Measurement and Capital Standards, a Revised Framework¡¨ (widely known as Basel II).
This study investigated 3 banks including large-sized, middle-sized and small-sized in Taiwan. And Archival Research and Interviews were used to analyze the regulatory treatment of Operational Risk in the New Basel Capital Accord. In conclusion, this study recommends some appropriate measures to bankers in accordance with the New Basel Capital Accord. Furthermore, several suggestions are also proposed to bankers and the supervisors.
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The management of operational risk in South African banks / by Ja'nel EsterhuysenEsterhuysen, Ja'nel Tobias January 2003 (has links)
One of the biggest problems South African banks are experiencing when managing
operational risk is the lack of a single definition for operational risk. Operational risk
can take many forms; for example computer system failure, the malfunction of an
ATM or in same instances the long queues at a bank can be an operational risk It is
clear that banks lack sufficient information to distinguish between different
operational risk events as well as other risk events like credit risk, market risk, etc. In
other words, banks are experiencing great difficulties with the identification of
operational risk in South Africa
The study therefore aims to determine and construct a single definition of operational
risk that will be sufficient for the assessment of operational risk management in South
Africa. The study also aims to examine the existing as well as the possible methods to
identify, quantify and measure operational risk The main goal of this study is
therefore to investigate the feasibility of capital provisions as a way of managing
operational risk in South African banks, in other words the viability of the New Basel
Capital Accord on South African banks. The methodology used includes a literature
review, in-depth interviews and a case study on South African Retail Bank to
determine and evaluate some of the most renowned indicators of operational risk in
South Africa.
The first objective was to determine a single definition of operational risk in South
Africa. As mentioned, South African banks are having great difficulties to find a
single definition of operational risk and this is causing problems in identifying
operational risks in South Africa. It is the view of this study that the Basel
Committee's definition is not sufficient enough for operational risk management in
South Africa; therefore there is a great need to find a single definition of operational
risk in South African banks.
The second objective is to provide an overview of the Base1 Committee and its
Capital Accord, by focusing on one of the outstanding changes to the existing accord,
which is the proposed explicit capital requirement for operational risk. It has been
established that the Base1 Capital Accord is widely adopted around the world.
Consequently, from the viewpoint of being competitive, it is to the advantage of a
bank to adhere to the prescriptions of the Base1 Capital Accord. However, to stay
relevant, the Basel Capital Accord was due for a review. The Basel Committee
released a proposal to replace the existing Basel Capital Accord with a more. risk sensitive
framework. The new framework intends to improve safety and soundness in
the financial system by placing more emphasis on banks' own internal control and
management, the supervisory review process, and market discipline.
The third objective of this research was to present the theory of asset and liability
management (ALM) within the unifying theme of operational risk management. It
was indicated that capital is used to absorb an operational risk loss. The Asset and
Liability Committee (ALCO) is responsible for the strategic management of a bank's
balance sheet, therefore also ALM, and as capital forms part of the banks balance
sheet, it is also the responsibility of the ALCO to manage the capital that is used as
provision for an operational risk.
The fourth objective was to determine and evaluate the key risk indicators of
operational risk in South Africa theoretically and then also by means of a case study
on a South African Retail Bank and then to made some recommendations regarding
the effective identification of the key indicators of operational risk in South Africa. It
was indicated the challenge in identifying key operational risk indicators is to find
indicators that is not only business-specific but are also fm wide indicators of
operational risk. Recommendations on the effective identification of key operational
risk indicators were made. / Thesis (M.Com. (Economics))--North-West University, Potchefstroom Campus, 2004.
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The management of operational risk in South African banks / by Ja'nel EsterhuysenEsterhuysen, Ja'nel Tobias January 2003 (has links)
One of the biggest problems South African banks are experiencing when managing
operational risk is the lack of a single definition for operational risk. Operational risk
can take many forms; for example computer system failure, the malfunction of an
ATM or in same instances the long queues at a bank can be an operational risk It is
clear that banks lack sufficient information to distinguish between different
operational risk events as well as other risk events like credit risk, market risk, etc. In
other words, banks are experiencing great difficulties with the identification of
operational risk in South Africa
The study therefore aims to determine and construct a single definition of operational
risk that will be sufficient for the assessment of operational risk management in South
Africa. The study also aims to examine the existing as well as the possible methods to
identify, quantify and measure operational risk The main goal of this study is
therefore to investigate the feasibility of capital provisions as a way of managing
operational risk in South African banks, in other words the viability of the New Basel
Capital Accord on South African banks. The methodology used includes a literature
review, in-depth interviews and a case study on South African Retail Bank to
determine and evaluate some of the most renowned indicators of operational risk in
South Africa.
The first objective was to determine a single definition of operational risk in South
Africa. As mentioned, South African banks are having great difficulties to find a
single definition of operational risk and this is causing problems in identifying
operational risks in South Africa. It is the view of this study that the Basel
Committee's definition is not sufficient enough for operational risk management in
South Africa; therefore there is a great need to find a single definition of operational
risk in South African banks.
The second objective is to provide an overview of the Base1 Committee and its
Capital Accord, by focusing on one of the outstanding changes to the existing accord,
which is the proposed explicit capital requirement for operational risk. It has been
established that the Base1 Capital Accord is widely adopted around the world.
Consequently, from the viewpoint of being competitive, it is to the advantage of a
bank to adhere to the prescriptions of the Base1 Capital Accord. However, to stay
relevant, the Basel Capital Accord was due for a review. The Basel Committee
released a proposal to replace the existing Basel Capital Accord with a more. risk sensitive
framework. The new framework intends to improve safety and soundness in
the financial system by placing more emphasis on banks' own internal control and
management, the supervisory review process, and market discipline.
The third objective of this research was to present the theory of asset and liability
management (ALM) within the unifying theme of operational risk management. It
was indicated that capital is used to absorb an operational risk loss. The Asset and
Liability Committee (ALCO) is responsible for the strategic management of a bank's
balance sheet, therefore also ALM, and as capital forms part of the banks balance
sheet, it is also the responsibility of the ALCO to manage the capital that is used as
provision for an operational risk.
The fourth objective was to determine and evaluate the key risk indicators of
operational risk in South Africa theoretically and then also by means of a case study
on a South African Retail Bank and then to made some recommendations regarding
the effective identification of the key indicators of operational risk in South Africa. It
was indicated the challenge in identifying key operational risk indicators is to find
indicators that is not only business-specific but are also fm wide indicators of
operational risk. Recommendations on the effective identification of key operational
risk indicators were made. / Thesis (M.Com. (Economics))--North-West University, Potchefstroom Campus, 2004.
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Measuring operational risk in the ALCO process / by Charmaine SmitSmit, Charmaine January 2008 (has links)
In the last decade, the financial service industry has become increasingly aware of the dangers posed by operational risk. Profound changes in the economic and financial environment have made it necessary for banks in general to adapt their long term strategies as well as their approaches to the management of their assets and liabilities. Regardless of this heightened awareness, banks continue to fail at effective management of these risks. The Asset and Liability Management Committee (ALCO) is responsible for managing a bank's assets and liabilities to balance its many risk exposures and thereby help it achieve its operating objectives e.g. maximising Net Interest Income (Nil). Thus the ALCO process is the crux of the strategic management process performed within a bank. The ALCO process is driven by people, processes and technology which, in essence, is a broad definition of operational risk. Failure in any one of these areas will lead to failure of the ALCO, ALCO processes and, therefore, the strategic Asset and Liability Management (ALM). The focus of this study is, therefore, how to measure and manage operational risk in a bank's ALCO process. A case study was conducted, with the aid of ALCO experts in a specialised niche bank in South Africa, to identify operational risks within this bank's ALCO process. The various risk indicators of operational risk were classified into 5 broad categories. Each category was weighted according to its representative risk indicator and converted into percentages for the interpretation of the overall results. Category 2 (authority levels) has the highest negative impact, while the remaining 4 categories (employee, model, system and other indicators) have a medium negative impact, on the efficiency of the ALCO process. / Thesis (M.Com. (Risk Management))--North-West University, Potchefstroom Campus, 2009.
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Measuring operational risk in the ALCO process / by Charmaine SmitSmit, Charmaine January 2008 (has links)
In the last decade, the financial service industry has become increasingly aware of the dangers posed by operational risk. Profound changes in the economic and financial environment have made it necessary for banks in general to adapt their long term strategies as well as their approaches to the management of their assets and liabilities. Regardless of this heightened awareness, banks continue to fail at effective management of these risks. The Asset and Liability Management Committee (ALCO) is responsible for managing a bank's assets and liabilities to balance its many risk exposures and thereby help it achieve its operating objectives e.g. maximising Net Interest Income (Nil). Thus the ALCO process is the crux of the strategic management process performed within a bank. The ALCO process is driven by people, processes and technology which, in essence, is a broad definition of operational risk. Failure in any one of these areas will lead to failure of the ALCO, ALCO processes and, therefore, the strategic Asset and Liability Management (ALM). The focus of this study is, therefore, how to measure and manage operational risk in a bank's ALCO process. A case study was conducted, with the aid of ALCO experts in a specialised niche bank in South Africa, to identify operational risks within this bank's ALCO process. The various risk indicators of operational risk were classified into 5 broad categories. Each category was weighted according to its representative risk indicator and converted into percentages for the interpretation of the overall results. Category 2 (authority levels) has the highest negative impact, while the remaining 4 categories (employee, model, system and other indicators) have a medium negative impact, on the efficiency of the ALCO process. / Thesis (M.Com. (Risk Management))--North-West University, Potchefstroom Campus, 2009.
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