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How does a Risk Control Self-Assessment (RCSA) process work, and how should banks translate qualitative assessments into actionable risk metrics?
RCSA is a structured bottom-up methodology where process owners identify risks, assess inherent severity, evaluate control effectiveness, and score residual risk. Challenge sessions, calibration workshops, and loss data linkage transform the subjective exercise into a rigorous risk quantification tool.
What are the key requirements for operational risk loss data governance under the SMA, and how should banks handle boundary events?
Loss data governance under the SMA requires banks to collect, classify, and validate operational losses using consistent standards. Boundary events that straddle operational and credit risk categories must be flagged and treated according to root-cause analysis, with supervisory input on Loss Component inclusion.
How does the Internal Loss Multiplier (ILM) adjust capital based on loss history, and why is the logarithmic function used to dampen extreme values?
The ILM uses a logarithmic formula to adjust operational risk capital based on loss history. It can reduce capital below the BIC for banks with clean records or increase it for banks with elevated losses, but the logarithmic form dampens extreme values to prevent unmanageable capital charges.
How is the Loss Component calculated in the SMA framework, and what qualifies as an operational risk loss for inclusion?
The Loss Component uses a three-bucket structure that applies multipliers of 7x and 5x to average annual losses at different severity thresholds. A single catastrophic event can dominate the calculation for a full decade, creating a strong incentive for operational risk prevention.
How does the Standardised Measurement Approach (SMA) calculate operational risk capital, and what replaced the previous AMA framework?
The SMA calculates operational risk capital by multiplying the Business Indicator Component (based on revenue-based size metrics) by the Internal Loss Multiplier (based on historical loss severity). It replaced all prior approaches to eliminate model variability across banks.
What is a Power Reverse Dual Currency (PRDC) note, and why is it notoriously difficult to hedge?
A PRDC note pays FX-linked coupons that rise when the yen weakens and USD rates increase, designed for Japanese yield-seekers. The product is notoriously difficult to hedge because it depends on three correlated factors over 20-30 year horizons with limited long-dated option liquidity.
How does an accumulator work, and why is it nicknamed 'I kill you later'?
An accumulator obliges the investor to purchase shares daily at a discount, but doubles the purchase quantity when the stock falls below the strike price while capping gains with an upside knock-out barrier. This asymmetric gearing earned it the nickname 'I kill you later' after devastating retail investors in the 2008 crisis.
What is a snowball structured note, and how does the cumulative coupon memory feature amplify both return potential and risk?
A snowball note accumulates missed coupons from periods when the reference asset was below the coupon barrier, paying them all out when the barrier is eventually recrossed. This memory feature creates attractive recovery potential but masks significant tail risk if the knock-in barrier is breached.
What is a reverse convertible note, and how should I decompose its embedded option risk?
A reverse convertible note embeds a short put option sold by the investor to the issuer. The put premium finances the enhanced coupon. In barrier versions, the put only activates if the stock breaches a knock-in level, reducing risk but also reducing the available coupon.
How do autocallable structured products work, and what drives the coupon level relative to barrier placement?
Autocallable notes combine early redemption triggers with embedded knock-in puts. The investor earns enhanced coupons by implicitly selling downside protection, with the coupon level driven by barrier placement, implied volatility, and the issuer's funding spread.
How do you calculate incremental CVA when adding a new trade to an existing portfolio, and why does it differ from standalone CVA?
Incremental CVA equals the portfolio CVA after adding a new trade minus the CVA before. Due to netting within a counterparty's portfolio, offsetting trades can produce negative incremental CVA, meaning the new trade actually reduces total credit risk.
What is the timing option in Treasury bond futures delivery, and how does the short exploit it during the delivery month?
The timing option lets the futures short choose when during the delivery month to deliver. The decision hinges on net carry: positive carry favors late delivery to capture coupon income exceeding financing costs, while negative carry favors early delivery.
How does the cheapest-to-deliver switch option work in Treasury bond futures, and when does the CTD bond change?
The CTD switch option arises because the conversion factor system imperfectly normalizes deliverable bonds. As yields move away from 6%, different bonds become cheapest to deliver, giving the futures short a valuable option to switch which bond is delivered.
What is specific wrong-way risk in counterparty credit exposure, and can you give a concrete example of how it amplifies losses?
Specific wrong-way risk occurs when a direct structural link guarantees that counterparty exposure increases exactly when the counterparty's credit deteriorates. A classic example is buying CDS protection from a counterparty with concentrated lending exposure to the reference entity.
How does linear interpolation work on a bootstrapped yield curve, and what artifacts does it introduce?
Linear interpolation connects known yield curve nodes with straight-line segments, producing a continuous zero curve. However, it creates discontinuous forward rates with abrupt jumps at each node, making it unsuitable for pricing forward-sensitive instruments.
How is the stressed expected shortfall (ES) calculated under FRTB, and why did Basel replace VaR with ES?
FRTB replaced VaR with 97.5% Expected Shortfall to capture tail risk. The stressed ES multiplies the current full-risk-factor ES by a stress ratio derived from the most severe historical period, with additional adjustments for varying liquidity horizons across risk factor categories.
How does a knock-in barrier option actually activate, and what determines its value before the barrier is breached?
A knock-in barrier option only becomes a live vanilla option once the underlying asset's price touches a predetermined barrier level. Before activation, its value reflects the probability of barrier contact and the conditional value of the resulting vanilla option.
How is replacement cost calculated under SA-CCR, and how does margining affect the computation?
Under SA-CCR, replacement cost for unmargined trades is simply the positive MTM minus collateral. For margined trades, RC also considers the threshold, minimum transfer amount, and initial margin to capture the exposure that can accumulate between margin calls.
Why did the industry shift to OIS discounting for collateralized derivatives, and how does it differ from LIBOR discounting?
OIS discounting reflects the true funding cost of collateral posted under CSA agreements. Since collateral earns the overnight rate rather than LIBOR, discounting at LIBOR overstates present values by embedding an unnecessary bank credit spread.
How is the swap rate curve constructed, and why does bootstrapping from deposit rates to swap rates matter for valuation?
The swap rate curve is bootstrapped sequentially from deposit rates, futures-implied forwards, and par swap rates. Each instrument covers a specific tenor range, and discount factors are solved iteratively so that longer-maturity values depend on all earlier ones.
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