The failure of Risk Management is manifold.
Only a day earlier I was in conversation with a treasury market dealer, who runs a fixed income, bond derivatives and call /clean rates desk at a leading global bank.
I was surprised to note that he didn't factor risk into decisions!
Upon my inquiring, he told me that he made placements, without actually computing Risk Adj. Return for any of the fixed-rate drove asset classes or potential exposures.
His targeted profitability metric is the market yield aka IRR for bonds and bullet rates for MM Placements.
So, I insisted on asking further, as to what role was the risk department playing at the bank, and why nobody taught him how to compute and understand RAROC family?
Why treasury front office didn't comply with the risk budgets, etc?
well, his answer was not melodramatic, but, very much expected!
We are not risk managers and Risk Management never asks us to attend Basel Trainings.
We square our MM /FX books and meet liquidity and financial return targets as advised to us by the ALCO.
Continuing with the above thread!
So, I believe risk management models used by the risk desk/units, should be properly explained to the front and back-office users.
Front office traders/dealers, coupled with back-office accountants reporting to the CFO, should be on the same pg
How can the front office, the middle office and the back office speak the same language and understand the connotations, jargon, technicalities, terminologies, taxonomies, and semantics, etc. If they are not trained together?
An #ERM program must remove the silo culture!
The purpose of Risk Management should be clearly spelt out at financial institutions.
The Risk should do three things=> 1. Devise a common language 2. Speak a common language 3. Understand and know how to communicate during normal times and escalate when things go haywire!
The biggest risk management failures are the lack of applying importance to strategic risk communications in day-to-day problem-solving,
not inculcating a risk culture across the 3-LOD Model, and lastly not aptly cataloguing risk, crisis, and extreme disaster hazardous events
So we cannot blame the front office risk-takers if the risk managers do not ensure compliance with the regulatory program!
Risk Teams should train the Risk Takers, so that the latter may use both complex models and heuristics, to firefight at least the Known Known Risk Incidents
What is the role of treasury management in the banking sector?
Note: (this thread only includes discussion on investment in T-Bills and other Long - term Fixed Income securities such as the Government Securities and other Bonds; additionally, the squaring of all book positions, in regard to Money Market and FX Asset class/es) & AL- Gap Mgmt
I have excluded investments in hybrids, convertibles, capital market products, share underwriting, and derivatives hedging /trading and the other complimentary Investment Banking Activities, which might also be included in the treasury job description at some retail banks
Which is the best choice, to do an MSC in professional accountancy or an MBA after an ACCA completion?
Tough question.
If you can do your ACCA(plus your Oxford Brookes BSc Hons Accounting degree) and later clear the ICA UK (of Wales and England) Exams, nothing like it! later pass all the professional body requirements(CIPD) and turn into a full FCA Member?
Sign off accounts and financial statements as the CFO or get yourself the job of an Audit Head.
Which are some stylized failures of Risk Management?
It is the only subject when turned into a profession, which fails to deliver in SVA terms in most of the cases, as witnessed now outside the Insurance Sector
Insurance is a different game because the profession is led by well-trained quantitative professionals such as Actuaries
Why it has not worked well outside the Insurance Sector/s?
The multiple reasons for the failure of Risk Management and Auditing Departments at firms could be the following =>
What is the Gaussian copula and how to use it to derive the joint probability of the default of two assets?
This is an interesting question, but I would like to discuss its implications and how this kind of model added fuel to the global financial crisis fire back in 2007.
Risk Management is like a Greek Tragedy, where actors laugh to express their sorrow. Hence, here what mimics laughter is the Normal (Gaussian) PDF and its assumptions.
According to Hendry and Richard (1982), a final acceptable model should
satisfy several criteria (adapted slightly here). The model should:
● be logically plausible
● be consistent with underlying financial theory, including satisfying any
relevant parameter restrictions
●
●have regressors that are uncorrelated with the error term
● have parameter estimates that are stable over the entire sample
have residuals that are white noise (i.e. completely random and exhibiting no patterns)
● be capable of explaining the results of all competing models and more.
When we talk of IR #Interest#Rate#Risks we must understand the markets in which this product operates, and the fundamental pricing, trading, and hedging dynamics of this financial #derivative asset class.
Banks normally use IR Derivatives and Structured Products for on and/or off-balance-sheet ALM Asset Liability Management and Immunization, Bond Risk Hedging, NII Risk Hedging, Arbitrage Opportunity Exploration using the treasury based fixed income desks, Rate Speculation, etc.
Of course, we have other financial market participants such as Pension Funds, Hedge Funds, Insurance Companies, and several other specialized asset management firms, that have strategies and asset allocation models, which use IR derivative for both Macro and Micro-hedging.