By understanding what risk is in terms of its purported definition?
If you get the definition wrong, you won't understand the technical expression in either theory or practice.
So, get that right first!
2. The one side of the coin presents an Opportunity!
2.The another side of the coin presents a Threat!
On which side would you like to do betting?
The same holds true for a financial institution such as a bank.
The interpretation of #risk depends on your insights, your hunch, your gut feelings, your emotions, and last but the not least, your cognitive biases.
To understand Risk Management as a subject, you need to go deeper into the understating of the Psychology of Risk Perception.
Banks, often have a well-defined perception and documentation of risks, based on a certain taxonomy, which is used to identify, measure, manage and monitor both threats and opportunities that exist within an ecosystem aka financial and credit markets.
Banks risk generally fall into three broad-based risk register categories ->
1.Predictable Risks (Known Knowns)
2.Less Predictable Risks( Known Unknowns) which are also referred to as the Grey Rhinos.
3.Unpredictable Risks (Unknown Unknowns) which are the Black Swan Risk Events.
Predictable Risks are generally categorized into three categories=>
•Financial Risks (For e.g. Market Risk, Credit Risk, Liquidity Risk, ALM Risks, Portfolio Management Risks etc)
•Operational Risks (for e.g. Process risks or IT Risks that interface each stage of a transaction)
Furthermore, Internal Auditors(the third line of defence) make use of enterprise-wide risk registers, which are used to breakdown all Operational Risks, which includes Accounting and Financial Reporting risks at the level of an entity and/ or transactions.
Other Risks (for e.g. Reputational Risk, Legal Risk, Sovereign or Country Risk, Technological Risks, Environmental Risks, Social Risks, Business Model Risks, Corporate Strategy Risks, Internal Auditing Risks, Hybrid Business Risks, Business Continuity Risks,
Change Management Risks, Organizational Communicational Risks, Firm Wide Cultural Risks, Workforce Diversity Risks, Project Management Risks, Program Risks, Product Risks, Governance and Compliance Risks, and so on etc).
A. Measurable or Quantifiable risks can be hedged. These risks are also referred to as Statistical Risks. An e.g. are Financial Risks.
B. Non-measurable or Non-Quantifiable Risks cannot be hedged with the same level of ease and certainty.
These risks are often referred to as Non-Statistical Risks. An e.g. are Non-quantifiable Operational Risks, Reputational Risks or Other Risks such as Legal Risks.
Hence, banks before moving into the domain of randomness should distinguish between the technical concepts and expressions that bifurcate #Uncertainty and Statistical #Risk from one another.
All Risks do not fall into the contextual definition and allure of Uncertainty.
This is where bank risks managers often make a tragic mistake. They often apply statistical risk measurement models to situations where matters are complex and complicated.
For e.g. a normal event can be modelled using a Gaussian Distribution Model, but, you cannot use the latter to measure or predict, a non-normal or otherwise an abnormal event, which might become a source of financial or reputational affliction for the bank.
To further understand the difference between Risk and Uncertainty, I would advise you to further read both the treatises of #Frank#Knight and John Maynard #Keynes.
Hope this much introduction to the topic helps improve your understanding of #bank risk management.
Financial Econometrics basically utilizes Financial Market Data to build mathematical and statistical financial models and later analyze the statistical significance and make predictions.
It is generally used by risk managers and economists to predict(forecast) and study the return market characteristics. GARCH models and other Time Series Models are used to study the pattern of Return Volatility Clusters, Tail Dependence Events, Covariances,
How do I know if #Actuarial Science is meant for me? @SOActuaries@actuarynews
It is not easy to assess your aptitude in a given subject by only passing high school exams or getting good grades in Math, Statistics and/or Further Maths(Advance Math) at the higher secondary level.
I know many Math geniuses, who entered into Actuarial Science and Risk, but later moved out because they didn't want to restrict themselves & their field of specialization to just Insurance and risk management sectors in the economy.
So, it all depends on whether you would like to work solely within the risk management area and insurance, or you would like to have a more broad-based career.
How do I secure a role in FRM - Financial Risk Management at Fis Financial Institutions?
What would be the starting point for a person interested in risk management? @GARP_Risk@actuarynews
Do a basic undergraduate or preferably a postgraduate degree in Quantitative Finance/ FE Financial Engineering / Risk management or Actuarial Science.
Even a degree in other highly numerate fields such as Data Science and Machine Learning can help you in different areas of FRM.
Some students, who come from other numerate backgrounds, such as Engineering, Physics, Mathematics, Statistics, or even Computing Sciences with a strong background in Technology or Programming/Coding, can also end up doing well in the FRM Profession.
Our #narratives on theology, nationalism, wars, economics, philosophy, logic, methodology, sociology, history and anthropology, shall determine the amount of #complexity that exists within an #ecosystem, such as a society or something bigger which takes on the mantle of a state.
what sustains an Open Society based on Bourgeoisie Sentiments?
That is what will make us understand the notion of #pertification in a complex, agile, and adaptative ecosystem that consists of living organisms.
the greater the diversity of views, the more complex the national narratives shall become, leading to a greater demand among the intelligentsia to curb liberal thinking and individual freedoms.
Hence, higher complexity shall lead to society and its planners to impose controls!
Is doing a graduate degree in risk management and insurance worth the money? Why? @GARP_Risk@actuarynews
Depends! #riskmanagement is a broad area which can offer various lucrative roles, especially in the financial sector.
They are a lot of risk management degrees available in the market.
Which one would you like to study?
And where it is being offered?
If the degree will focus more on Insurance Underwriting Management and related Risk Financing Courses, I won't advise you to do such a qualification.
The scope of such a degree won't go beyond Life and P&C Insurance Firms.
Credit risk modelling as per @BIS_org Guidelines (FIRB and AIRB) is different from OR - Operational Risk Modeling because the methodological concepts, logic and applications have contrasting operating characteristics.
Operational risk models generally require a Compound Poisson, Lognormal, Negative Binomial, Binomial, Weibull or any mixture distribution(for e.g. a bi-modal shaped distribution which represents both severity and frequency of internal and external loss data sample sets)