This document provides an overview of risk management concepts across four modules:
1) Introduction to risk measurement, types of risks, and quantitative risk measurement techniques.
2) Risk avoidance strategies like hedging instruments and enterprise risk management frameworks.
3) Risk governance, the three lines of defense model, and managing stakeholder expectations.
4) Risk management in the insurance industry, including players, products, claims management, and the regulatory framework in India.
Xiaorong Zou has over 10 years of experience in model validation and risk management. She currently works as a Senior Manager at BMO Financial Group, where she manages a team that validates market risk models. Prior to this role, she worked as a lecturer teaching mathematics and finance courses. She has a PhD in Mathematics and masters degrees in Electrical Engineering, Actuarial Science, and Applied Math.
Project risk management involves identifying potential risks, analyzing their likelihood and impact, and developing responses to address threats and opportunities. The key processes include planning risk management, identifying risks, performing qualitative and quantitative risk analyses to prioritize risks, and planning risk responses. Qualitative analysis involves assessing probability and impact, while quantitative analysis uses numerical methods to evaluate risk exposure and determine contingency reserves. Risks are continually monitored and the risk register updated throughout the project life cycle.
This document discusses enterprise-wide risk management (EWRM) frameworks and concepts. It covers EWRM language and frameworks, inherent vs residual risk, material risk, key controls, control effectiveness assessments, and backward-looking vs forward-looking risk models. It also discusses operational risk exposure evaluation (OREE) components like risk identification, control evaluation, scenario analysis, and loss data analysis. Finally, it provides examples of top risks in e-banking/IT and banking, such as credit risk, liquidity risk, reputation risk, and more.
This document discusses enterprise-wide risk management (EWRM) frameworks and operational risk evaluation processes. It covers:
- Key concepts in EWRM risk language including inherent risk, residual risk, material risk, key controls, and control effectiveness.
- A three-level framework for classifying EWRM risks.
- The operational risk exposure evaluation (OREE) process which includes risk identification, control evaluation, financial and non-financial exposure assessments, scenario analysis, and loss data analysis.
- Examples of some of the "Top 20" IT risks such as staff skill shortages, key supplier failures, and non-compliance with legal/regulatory requirements.
This document discusses applying quantitative analytics to regulatory compliance problems. It begins with an overview of common compliance challenges faced by banks, such as regulatory actions relating to compliance, fraud, sanctions, and money laundering. It then outlines a solution framework involving control metrics and reporting, enhanced data management and visualization, and learning from risk management disciplines. Examples are provided of applying analytics to know-your-customer processes, transaction monitoring, customer risk rating calculations, and model validation. Case studies demonstrate quantitative analytics for anti-money laundering transaction monitoring, customer risk rating calculation, and fraud detection.
Operational Risk : Take a look at the raw canvasTreat Risk
Operational risks by banks have never been recognised till BASEL II imposed on banks to look forward. Take a look at the broad canvas of Operational risks applicable for banks
Operational Risk Management under BASEL eraTreat Risk
Operational risk have always ignored by Banks as they thought Credit and market risks can cause catastrophe. But history of misfortunes taught us different lessons. Controls and internal audit have long been construed as guard till BASEL II dictates forced banks to look with insight. Understand the dimension of ORM in this presentation.
Xiaorong Zou has over 10 years of experience in model validation and risk management. She currently works as a Senior Manager at BMO Financial Group, where she manages a team that validates market risk models. Prior to this role, she worked as a lecturer teaching mathematics and finance courses. She has a PhD in Mathematics and masters degrees in Electrical Engineering, Actuarial Science, and Applied Math.
Project risk management involves identifying potential risks, analyzing their likelihood and impact, and developing responses to address threats and opportunities. The key processes include planning risk management, identifying risks, performing qualitative and quantitative risk analyses to prioritize risks, and planning risk responses. Qualitative analysis involves assessing probability and impact, while quantitative analysis uses numerical methods to evaluate risk exposure and determine contingency reserves. Risks are continually monitored and the risk register updated throughout the project life cycle.
This document discusses enterprise-wide risk management (EWRM) frameworks and concepts. It covers EWRM language and frameworks, inherent vs residual risk, material risk, key controls, control effectiveness assessments, and backward-looking vs forward-looking risk models. It also discusses operational risk exposure evaluation (OREE) components like risk identification, control evaluation, scenario analysis, and loss data analysis. Finally, it provides examples of top risks in e-banking/IT and banking, such as credit risk, liquidity risk, reputation risk, and more.
This document discusses enterprise-wide risk management (EWRM) frameworks and operational risk evaluation processes. It covers:
- Key concepts in EWRM risk language including inherent risk, residual risk, material risk, key controls, and control effectiveness.
- A three-level framework for classifying EWRM risks.
- The operational risk exposure evaluation (OREE) process which includes risk identification, control evaluation, financial and non-financial exposure assessments, scenario analysis, and loss data analysis.
- Examples of some of the "Top 20" IT risks such as staff skill shortages, key supplier failures, and non-compliance with legal/regulatory requirements.
This document discusses applying quantitative analytics to regulatory compliance problems. It begins with an overview of common compliance challenges faced by banks, such as regulatory actions relating to compliance, fraud, sanctions, and money laundering. It then outlines a solution framework involving control metrics and reporting, enhanced data management and visualization, and learning from risk management disciplines. Examples are provided of applying analytics to know-your-customer processes, transaction monitoring, customer risk rating calculations, and model validation. Case studies demonstrate quantitative analytics for anti-money laundering transaction monitoring, customer risk rating calculation, and fraud detection.
Operational Risk : Take a look at the raw canvasTreat Risk
Operational risks by banks have never been recognised till BASEL II imposed on banks to look forward. Take a look at the broad canvas of Operational risks applicable for banks
Operational Risk Management under BASEL eraTreat Risk
Operational risk have always ignored by Banks as they thought Credit and market risks can cause catastrophe. But history of misfortunes taught us different lessons. Controls and internal audit have long been construed as guard till BASEL II dictates forced banks to look with insight. Understand the dimension of ORM in this presentation.
Khoo Guan Seng is the head of group risk models validation at Standard Chartered Bank. He gave a presentation on using Monte Carlo simulation techniques for investment risk and portfolio performance management. The presentation covered innovations with Monte Carlo methods, implementing the techniques in risk systems to enhance performance measurement, using simulations to mitigate risks through diversification, and validating Monte Carlo techniques. The overall objective is to minimize unexpected investment volatility and losses while maximizing consistent returns through flexible risk management.
With our experience and our experts, Chappuis Halder & Co would provide appropriate incentives at every level of your organization. It could help you at the time to manage “modern” risk alongside performance
Basel II aims to establish a more risk-sensitive approach to capital adequacy by addressing three main areas or pillars: minimum capital requirements, supervisory review, and market discipline. It requires banks to hold capital reserves proportional to their credit, market, and operational risk. The framework allows two approaches for calculating credit risk - a standardized approach and internal ratings-based approaches. Pillar 2 covers supervisory review to ensure banks have adequate capital for all risks and encourage better risk management. Pillar 3 focuses on market discipline through public disclosures.
This document discusses risk management frameworks and processes. It outlines three lines of defense in risk governance with business lines as the first line, risk management as the second line, and internal audit as the third line providing independent oversight. It also describes key risk management functions, policies, and tools including risk appetite statements, risk maps, key risk indicators, and risk control assessments.
The document discusses strategic risk management approaches used in banking and other industries. It outlines three approaches to operational risk management used in banking: the Basic Indicator Approach, Standardized Approach, and Advanced Measurement Approach. It then discusses areas of interest for strategic risk management and provides examples of top risks identified in Ernst & Young's Global Business Risk reports from 2008 to 2010, which shifted as the financial crisis unfolded. Finally, it lists some common tools and techniques used in strategic risk management, including risk mapping, scenario analysis, and statistical modeling.
This document provides an overview of risk management concepts including enterprise risk management (ERM), own risk and solvency assessment (ORSA), economic capital modeling, continuity analysis, and the role of supervision. It discusses key aspects of ERM frameworks, governance structures, developing risk functions, risk policies, risk profiling processes, and qualitative and quantitative risk evaluation methods. It also outlines the purposes and processes of economic capital models, continuity analysis, and supervisory oversight. Soft skills training is also briefly mentioned.
The document discusses various methods for conducting risk assessment, from qualitative to quantitative. It begins by explaining strategic risk assessment and how it is focused on identifying threats to organizational objectives. It then discusses different qualitative methods like risk maps and registers. The document spends significant time exploring different quantitative and temporal methods, including comparative analysis, scenario analysis, decision tree analysis, and modeling and simulation. It emphasizes that risk assessment needs to consider various factors like likelihood, impact, emerging issues, and effectiveness of controls to identify the correct actions for mitigating risks.
Risk Analysis is a process that helps identify and assess potential threats that could affect the success of a business or project. It allows to examine the risks and includes means to measure, mitigate and control them effectively.
This document discusses the key steps in a risk management process:
1. Identifying risks through risk statements that define the root cause, consequence, and downstream impact.
2. Analyzing and prioritizing risks by estimating their probability, impact, and exposure.
3. Planning risk actions by developing strategies to reduce exposure for high-priority risks.
4. Tracking risks and reporting changes in their status to ensure risk plans stay up-to-date.
5. Controlling risks by monitoring plans and taking corrective actions in response to triggering events.
The document proposes a 360 Degree Risk Management Model to help organizations holistically manage risks. The model comprises people, processes, tools, and governance to 1) identify risks early, 2) mitigate negative risks, and 3) leverage learnings from risks to enhance competencies. Key aspects of the model include a corporate risk database, risk analytics dashboards, and knowledge sharing programs. The document argues the model can help organizations gain competitive advantages and improve outcomes by taking a more holistic view of risks.
Review of Enterprise Security Risk ManagementRand W. Hirt
The document discusses enterprise security risk management and provides details on the risk assessment process. It defines risk as the likelihood of an adverse event occurring multiplied by the impact. Risk management aims to identify and mitigate risks to acceptable levels. The risk assessment process involves determining scope, gathering information, assessing risks, recommending controls, and determining residual risk. Controls can reduce risk through preventative, detective or corrective measures. Ongoing monitoring ensures the organization's risk posture remains consistent over time.
Part 2 is on financial analysis and decision making. Major topics include financial statement analysis, corporate finance, decision analysis, risk management, investment decisions and professional ethics.
Financial statement analysis is the biggest section representing 25% of CMA Exam Part 2. Major topics include financial ratios, performance utilizing multiple ratios, market value vs book value, profitability analysis, effects of changing prices and inflation, off-balance sheet financing, and special issues such as foreign currency fluctuations, fair value accounting, and US GAAP vs IFRS.
Corporate finance is another important topic, covering key concept of risk and return, capital instruments for financing, initial and secondary public offerings, dividend policy, cost of capital, working capital management, raising capital, mergers and acquisitions and international finance.
For more information on the rest of the sections, please refer to our presentation. You are most welcome to drop us a note with questions. Good luck to your exam!
This document discusses risk assessment techniques for projects. It describes qualitative and quantitative risk analysis. Qualitative risk analysis involves defining the probability and impact of risks using classes or scores, and organizing risks into a matrix. Quantitative risk analysis uses numerical techniques like expected monetary value analysis with decision trees to assign probabilities and impacts to risks. The document outlines strategies for responding to risks like avoiding, transferring, mitigating, exploiting, and accepting risks. The goal of risk assessment is to prioritize and manage project risks.
PECB Webinar: Risk-management in IT intensive SMEsPECB
The webinar covers:
• Risk management process in IT intensive SMEs
• Challenges for usage of generic risk management methodologies
• Overview of simplified risk management methodology for IT intensive SMEs
Presenter:
This webinar was presented by Jasmina Trajkovski, Managing Director of Trajkovski & Partners Consulting who has more than 15 years of experience in IT consulting.
Link of the recorded session published on YouTube: https://youtu.be/1X4qTy1FzbY
The document discusses model risk management for banks. It defines models as simplified representations of real-world relationships that process input data to produce quantitative estimates. Regulators have issued guidance on model risk management. Models are used for various purposes like credit underwriting, capital planning, and stress testing. Model risk can occur if the input data, model itself, or model usage is flawed. Effective model risk management requires governance, model selection and development practices, validation processes, and oversight through auditing. The document provides examples of model risk considerations for regulatory stress testing and new credit loss accounting standards.
Model Risk Management: Using an infinitely scalable stress testing platform f...QuantUniversity
Model risk and the importance of model risk management has gotten significant attention in the last few years. As financial companies increase their reliance on quants and quantitative models for decision making, they are increasingly exposed to model risk and are looking for ways to mitigate it. The financial crisis of 2008 and various high profile financial accidents due to model failures has brought model risk management to the forefront as an important topic to be addressed. Many regulatory efforts (Solvency II, Basel III, Dodd-Frank etc.) have been initiated obligating banks and financial institutions to incorporate formal model risk management programs to address model risk.
In this talk, we will discuss the key aspects of model verification and validation and introduce a novel approach to do stress and scenario tests leveraging parallel and distributed computing technologies and the cloud. The platform leverages cloud based technologies to run stress tests on a massive scale without having to invest in fixed in-house architectures. Through a case study, we will illustrate best practices for stress and scenario testing for model verification and validation. These best practices meant to provide practical tips for companies embarking on a formal model risk management program or enhancing their model risk methodologies to address the new realities.
Vijay Mohire presented information on his planned contributions to Microsoft's ACE (Assessment, Consulting & Engineering) team. He outlined how he would assist with risk assessments, compliance checks, security consultations, engineering tasks, and program management. The presentation also provided an overview of Microsoft's information security practices, including its security stack, tools like Azure and Active Directory, and adherence to standards like NIST and PCI DSS.
The document discusses project risk management. It provides an overview of the risk management process, including the key inputs, tools and techniques, and outputs of each process. Specifically, it describes the processes of risk planning, identification, analysis, and monitoring. It defines risk and outlines the objectives of risk management. It also provides details about developing a risk management plan, identifying risks, performing qualitative analysis using tools like probability/impact matrices, and updating the risk register.
For Ch -6 == Risk Monitoring & Controlling.pptxAbhinavRJ1
This presentation discusses risk monitoring and controlling in project management. It begins with introducing risk and the process of risk monitoring and control. It then covers key topics like the risk triangle, risk assessment levels, risk identification techniques, and examples of risks in projects. Response strategies for positive and negative risks are presented. The risk management process is outlined, including identifying risks, measuring impacts, making decisions, finding solutions, and monitoring risk growth. Finally, the PDCA cycle for risk control is described.
The document discusses implementing an enterprise risk management (ERM) methodology and tools. It proposes assessing business risks, developing risk response strategies, and monitoring risk management processes. Key activities include identifying risks, measuring impact and likelihood, developing risk action plans, and monitoring risk responses. The goal is to gain consensus on an ERM approach that aligns enterprise and IT risks with the organization's strategy and risk appetite.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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Khoo Guan Seng is the head of group risk models validation at Standard Chartered Bank. He gave a presentation on using Monte Carlo simulation techniques for investment risk and portfolio performance management. The presentation covered innovations with Monte Carlo methods, implementing the techniques in risk systems to enhance performance measurement, using simulations to mitigate risks through diversification, and validating Monte Carlo techniques. The overall objective is to minimize unexpected investment volatility and losses while maximizing consistent returns through flexible risk management.
With our experience and our experts, Chappuis Halder & Co would provide appropriate incentives at every level of your organization. It could help you at the time to manage “modern” risk alongside performance
Basel II aims to establish a more risk-sensitive approach to capital adequacy by addressing three main areas or pillars: minimum capital requirements, supervisory review, and market discipline. It requires banks to hold capital reserves proportional to their credit, market, and operational risk. The framework allows two approaches for calculating credit risk - a standardized approach and internal ratings-based approaches. Pillar 2 covers supervisory review to ensure banks have adequate capital for all risks and encourage better risk management. Pillar 3 focuses on market discipline through public disclosures.
This document discusses risk management frameworks and processes. It outlines three lines of defense in risk governance with business lines as the first line, risk management as the second line, and internal audit as the third line providing independent oversight. It also describes key risk management functions, policies, and tools including risk appetite statements, risk maps, key risk indicators, and risk control assessments.
The document discusses strategic risk management approaches used in banking and other industries. It outlines three approaches to operational risk management used in banking: the Basic Indicator Approach, Standardized Approach, and Advanced Measurement Approach. It then discusses areas of interest for strategic risk management and provides examples of top risks identified in Ernst & Young's Global Business Risk reports from 2008 to 2010, which shifted as the financial crisis unfolded. Finally, it lists some common tools and techniques used in strategic risk management, including risk mapping, scenario analysis, and statistical modeling.
This document provides an overview of risk management concepts including enterprise risk management (ERM), own risk and solvency assessment (ORSA), economic capital modeling, continuity analysis, and the role of supervision. It discusses key aspects of ERM frameworks, governance structures, developing risk functions, risk policies, risk profiling processes, and qualitative and quantitative risk evaluation methods. It also outlines the purposes and processes of economic capital models, continuity analysis, and supervisory oversight. Soft skills training is also briefly mentioned.
The document discusses various methods for conducting risk assessment, from qualitative to quantitative. It begins by explaining strategic risk assessment and how it is focused on identifying threats to organizational objectives. It then discusses different qualitative methods like risk maps and registers. The document spends significant time exploring different quantitative and temporal methods, including comparative analysis, scenario analysis, decision tree analysis, and modeling and simulation. It emphasizes that risk assessment needs to consider various factors like likelihood, impact, emerging issues, and effectiveness of controls to identify the correct actions for mitigating risks.
Risk Analysis is a process that helps identify and assess potential threats that could affect the success of a business or project. It allows to examine the risks and includes means to measure, mitigate and control them effectively.
This document discusses the key steps in a risk management process:
1. Identifying risks through risk statements that define the root cause, consequence, and downstream impact.
2. Analyzing and prioritizing risks by estimating their probability, impact, and exposure.
3. Planning risk actions by developing strategies to reduce exposure for high-priority risks.
4. Tracking risks and reporting changes in their status to ensure risk plans stay up-to-date.
5. Controlling risks by monitoring plans and taking corrective actions in response to triggering events.
The document proposes a 360 Degree Risk Management Model to help organizations holistically manage risks. The model comprises people, processes, tools, and governance to 1) identify risks early, 2) mitigate negative risks, and 3) leverage learnings from risks to enhance competencies. Key aspects of the model include a corporate risk database, risk analytics dashboards, and knowledge sharing programs. The document argues the model can help organizations gain competitive advantages and improve outcomes by taking a more holistic view of risks.
Review of Enterprise Security Risk ManagementRand W. Hirt
The document discusses enterprise security risk management and provides details on the risk assessment process. It defines risk as the likelihood of an adverse event occurring multiplied by the impact. Risk management aims to identify and mitigate risks to acceptable levels. The risk assessment process involves determining scope, gathering information, assessing risks, recommending controls, and determining residual risk. Controls can reduce risk through preventative, detective or corrective measures. Ongoing monitoring ensures the organization's risk posture remains consistent over time.
Part 2 is on financial analysis and decision making. Major topics include financial statement analysis, corporate finance, decision analysis, risk management, investment decisions and professional ethics.
Financial statement analysis is the biggest section representing 25% of CMA Exam Part 2. Major topics include financial ratios, performance utilizing multiple ratios, market value vs book value, profitability analysis, effects of changing prices and inflation, off-balance sheet financing, and special issues such as foreign currency fluctuations, fair value accounting, and US GAAP vs IFRS.
Corporate finance is another important topic, covering key concept of risk and return, capital instruments for financing, initial and secondary public offerings, dividend policy, cost of capital, working capital management, raising capital, mergers and acquisitions and international finance.
For more information on the rest of the sections, please refer to our presentation. You are most welcome to drop us a note with questions. Good luck to your exam!
This document discusses risk assessment techniques for projects. It describes qualitative and quantitative risk analysis. Qualitative risk analysis involves defining the probability and impact of risks using classes or scores, and organizing risks into a matrix. Quantitative risk analysis uses numerical techniques like expected monetary value analysis with decision trees to assign probabilities and impacts to risks. The document outlines strategies for responding to risks like avoiding, transferring, mitigating, exploiting, and accepting risks. The goal of risk assessment is to prioritize and manage project risks.
PECB Webinar: Risk-management in IT intensive SMEsPECB
The webinar covers:
• Risk management process in IT intensive SMEs
• Challenges for usage of generic risk management methodologies
• Overview of simplified risk management methodology for IT intensive SMEs
Presenter:
This webinar was presented by Jasmina Trajkovski, Managing Director of Trajkovski & Partners Consulting who has more than 15 years of experience in IT consulting.
Link of the recorded session published on YouTube: https://youtu.be/1X4qTy1FzbY
The document discusses model risk management for banks. It defines models as simplified representations of real-world relationships that process input data to produce quantitative estimates. Regulators have issued guidance on model risk management. Models are used for various purposes like credit underwriting, capital planning, and stress testing. Model risk can occur if the input data, model itself, or model usage is flawed. Effective model risk management requires governance, model selection and development practices, validation processes, and oversight through auditing. The document provides examples of model risk considerations for regulatory stress testing and new credit loss accounting standards.
Model Risk Management: Using an infinitely scalable stress testing platform f...QuantUniversity
Model risk and the importance of model risk management has gotten significant attention in the last few years. As financial companies increase their reliance on quants and quantitative models for decision making, they are increasingly exposed to model risk and are looking for ways to mitigate it. The financial crisis of 2008 and various high profile financial accidents due to model failures has brought model risk management to the forefront as an important topic to be addressed. Many regulatory efforts (Solvency II, Basel III, Dodd-Frank etc.) have been initiated obligating banks and financial institutions to incorporate formal model risk management programs to address model risk.
In this talk, we will discuss the key aspects of model verification and validation and introduce a novel approach to do stress and scenario tests leveraging parallel and distributed computing technologies and the cloud. The platform leverages cloud based technologies to run stress tests on a massive scale without having to invest in fixed in-house architectures. Through a case study, we will illustrate best practices for stress and scenario testing for model verification and validation. These best practices meant to provide practical tips for companies embarking on a formal model risk management program or enhancing their model risk methodologies to address the new realities.
Vijay Mohire presented information on his planned contributions to Microsoft's ACE (Assessment, Consulting & Engineering) team. He outlined how he would assist with risk assessments, compliance checks, security consultations, engineering tasks, and program management. The presentation also provided an overview of Microsoft's information security practices, including its security stack, tools like Azure and Active Directory, and adherence to standards like NIST and PCI DSS.
The document discusses project risk management. It provides an overview of the risk management process, including the key inputs, tools and techniques, and outputs of each process. Specifically, it describes the processes of risk planning, identification, analysis, and monitoring. It defines risk and outlines the objectives of risk management. It also provides details about developing a risk management plan, identifying risks, performing qualitative analysis using tools like probability/impact matrices, and updating the risk register.
For Ch -6 == Risk Monitoring & Controlling.pptxAbhinavRJ1
This presentation discusses risk monitoring and controlling in project management. It begins with introducing risk and the process of risk monitoring and control. It then covers key topics like the risk triangle, risk assessment levels, risk identification techniques, and examples of risks in projects. Response strategies for positive and negative risks are presented. The risk management process is outlined, including identifying risks, measuring impacts, making decisions, finding solutions, and monitoring risk growth. Finally, the PDCA cycle for risk control is described.
The document discusses implementing an enterprise risk management (ERM) methodology and tools. It proposes assessing business risks, developing risk response strategies, and monitoring risk management processes. Key activities include identifying risks, measuring impact and likelihood, developing risk action plans, and monitoring risk responses. The goal is to gain consensus on an ERM approach that aligns enterprise and IT risks with the organization's strategy and risk appetite.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
https://rb.gy/usj1a2
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In the competitive world of content creation, standing out and maximising revenue on platforms like OnlyFans can be challenging. This is where partnering with an OnlyFans agency can make a significant difference. Here are five key benefits for content creators considering this option:
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
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How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
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Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
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China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
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The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
The Most Inspiring Entrepreneurs to Follow in 2024.pdf
risk mgmt.pptx
1. Dr. Shraddha Shukla
Ph.D, SET, M.Phil, M.Com,P.G.DFM
IQAC,B.B.I,BAF & M.Com Co-ordinator
Shailendra Degree College
2. Introduction, Risk Measurement and
Control
Introduction, Risk Measurement and Control
Definition, Risk Process, Risk Organization, Key Risks
–Interest, Market, Credit, Currency, Liquidity, Legal,
Operational Risk Management V/s Risk
Measurement – Managing Risk, Diversification,
Investment Strategies and Introduction to
Quantitative Risk Measurement and its Limitations
Principals of Risk - Alpha, Beta, R squared, Standard
Deviation, Risk Exposure Analysis, Risk
Immunization, Risk and Summary Measures –
Simulation Method, Duration Analysis, Linear and
other Statistical Techniques for Internal Control
3. 2 Risk Avoidance and ERM
• a) Risk Hedging Instruments and Mechanism:
Forwards, Futures, Options, Swaps and Arbitrage
Techniques, Risk Return Trade off, Markowitz Risk
Return Model, Arbitrage Theory, System Audit
Significance in Risk Mitigation
• b) Enterprise Risk Management: Risk
Management V/s Enterprise Risk Management,
Integrated Enterprise Risk Management, ERM
Framework, ERM Process, ERM Matrix, SWOT
Analysis, Sample Risk Register
4. 3 Risk Governance and Assurance
• a)Risk Governance: Importance and Scope of Risk
Governance, Risk and Three Lines of Defense,
Risk Management and Corporate Governance
• b) Risk Assurance: Purpose and Sources of Risk
Assurance, Nature of Risk Assurance, Reports and
Challenges of Risk
• c) Risk and Stakeholders Expectations: Identifying
the Range of Stakeholders and Responding to
Stakeholders Expectations
5. 4.Risk Management in Insurance
• a) Insurance Industry: Global Perspective, Regulatory
Framework in India, IRDA - Reforms, Powers, Functions
and Duties. Role and Importance of Actuary
• b) Players of Insurance Business: Life and Non- Life
Insurance, Reinsurance, Bancassurance, Alternative
Risk Trance, Insurance Securitization, Pricing of
Insurance products, Expected Claim Costs, Risk
Classification
• c) Claim Management: General Guidelines, Life
Insurance, Maturity, Death, Fire, Marine, Motor
Insurance and Calculation of Discounted Expected
Claim Cost and Fair Premium
6. Question Paper Pattern (Practical
Courses)
• Q-1 Objective Questions 15 Marks
• A. Sub Questions to be asked 10 and to be answered any 08 8 Marks
• B. Sub Questions to be asked 10 and to be answered any 07
• (*Multiple choice / True or False / Match the columns/Fill in the blanks) 7 Marks
• Q-2 - Full Length Practical Question 15 Marks
OR
• Q.2.Full Length Practical Question 15 Marks
• Q-3 - Full Length Practical Question 15 Marks
OR
• Q.3.Full Length Practical Question 15 Marks
• Q-4 - Full Length Practical Question 15 Marks
OR
• Q.4.Full Length Practical Question 15 Marks
• Q-5 A) Practical questions 08 Marks
• B) Practical questions 07 Marks
OR
• Q.5.Short Notes To be asked 05 To be answered 03 15 Marks
7. Module I
• Risk process-Identification, Analysis, Evaluation, Treatment,
Monitoring
• Types of risk-Market, Liquidity, Exchange rate, operational,
credit, systematic, unsystematic, political, commercial,
inflation
• Exchange Rate risk-
a)Transaction exposure-conversion of foreign exchange at the
date of payment
b)Translation Exposure-Converting values of assets & liabilities
denominated in a foreign currency into the domestic currency
c)Operation exposure-future cash flows of a firm will get
affected due to fluctuation in value of foreign currency
8. • Risk reduction measures by stock exchanges:
a)Capital adequacy requirement
b)Trading and exposure limits
c)Margin requirement
Political Risk, Technology risk, Inflation risk
9. Diversification
• Meaning-Refers to constructing portfolio
comprising of various group of assets
• Advantages-Reduction of risk, Enhancement of
returns
• Limitations-Systematic risk remains unchanged,
Increase complexity, Increases the cost of
managing the portfolio
• Factors to be considered while diversifying- Cost.,
Returns, Complexity, Investment objectives
10. • Investment Strategies-Increasing number of sectors and stocks, Use of fixed
income securities, Inclusion of derivatives in portfolio, Alternative investment
strategies
• Quantitative Risk Management-It is analysis of the highest priority risks during
which a numerical or quantitative rating is assigned in order to develop a
probabilistic analysis.
• Methods of Quantitative risk measurement-
Tool-1)Sensitivity analysis-refers to change in output with change in one or more input
analysis.
Tool-2)Expected monetary value(EMV) analysis-it is calculated by multiplying the
likelihood by the cost impact to obtain an expected value for each risk
Tool-3)Decision tree analysis-flow diagram
Tool-4)Tornado diagrams-it is a special type of Bar chart, where the data catergories
are listed vertically instead of the standard horizontal presentation
Tool-5)Modeling and simulation: It is Monte Carlo analysis which is normally
calculated by computer by analyzing many scenarios for the project schedule and
calculating impact of particular risk events.
Tool-6)Expert judgement
11. ALM in Banks
• 1) Managing interest rate risk
• 2)Effective ALM policy
• 3)Linking ALM with future risk management
policy
Basel Norms in Banking Industry
a)Minimum capital requirements
b)Supervisory review
c)Market discipline
12. Risk and summary measures
• 1)Simulation method-computerised mathematical
technique that allows people to account for risk in
quantitative analysis and decision making.
• 2)Duration analysis-measure of time
• 3)Macaulay Duration- It is weighted average term to
maturity of the cash flows from a bond.
• 4)Modified duration: it is calculated as measurable
change in the value of a security in response to a
change in interest rates.
• 5)Rupee Duration: It is measure of percentage change
in price, for a percentage change in yield.
13. Module II
• Derivatives-Forwards, Futures, Options, Swaps
• Arbitrage techniques-Simultaneous buying &
Selling of securities, currency or commodities
in different markets
• Markowitz risk and return model-It is theory
an how risk- averse investors can construct
portfolios to optimize or maximize expected
return based on a given level of market
14. System audit
• Meaning-Assessing the effectiveness of a
company’s internal controls, importance of
system audit in risk mitigation
• Distinguish between risk management and
enterprise risk management
• ERM-meaning, framework, process, matrix,
components
• Identify Risk through SWOT analysis
• Risk Register
15. Module III
• Risk Governance-rules convention processes
and mechanism by which decisions about risks
are taken and implemented
• Corporate governance-it is process of
supervision and control intended to ensure
that the company’s management acts in
accordance with interests of shareholders.
• Benefits of corporate governance
16. Three line Defence model
• It is a active way to enhance communication on
risk management and control by clarifying
essential roles and duties.
• First line of defence-functions that own and
manage risk-operational managers own and
manage risk
• Second line of defence-functions that oversee or
specialize in risk management compliance. It is
function to monitor, to control
• Third line of defence-Functions that provide
independent assurance, above all internal audit.
17. • Risk assurance-It is professional service
provided by Chartered or Certified Public
Accountants or Chartered Certified
Accountant.
• Sources of risk assurance-First, second, third
line
• Risk assurance report-written report,
conclusions(Positive or negative conclusion)
• Reports and challenges of risk
18. Risk and stakeholders expectation
• Stakeholders-individual, group, or
organisation who may be affected by or
perceive itself to be affected by a decision
activity, or output of a project
• Types-Internal or external
19. Module IV-Risk management in
Insurance
• Insurance industry, Impact of globlisation
• Opportunities
• Essentials to meet the challenges due to globlisation
• Regulatory framework in India-IRDA, Reforms
• Duties, powers and functions of IRDAI
• Role and importance of Actuary-calculating cost, role in
pension
• Insurance –Types
• Reinsurance
• Bancassurance
20. Alternative risk transfer
• Risk transfer through alternative products
• Risk transfer through alternative carriers
• Insurance securitization-it is transferring of
underwriting risks to the capital markets
through the creation and issuance of financial
securities.