During the second quarter of 2009, transactions in foreign exchange derivative contracts comprised approximately 7% of all types of derivative transactions between financial institutions in the United States. This data point reflects the proportion of foreign exchange derivatives within the broader context of derivative transactions during that period.

I. The static model gives a liquidity estimate only after the bank faces the liquidity problem:

This statement is true because the static liquidity ladder model does not predict future liquidity needs, it only assesses current liquidity status.

II. The static model can only make projections over a few days:

This statement is true as static models are typically used for short-term liquidity assessment.

III. The static model does not incorporate uncertainty in the analysis:

This statement is true because the static model does not consider the variability or uncertainty in future cash flows or obligations.

Therefore, all the statements I, II, and III are correct about the shortfalls of the static liquidity ladder model.

Comprehensive and Detailed In-Depth Explanation:

Scenario analysis assesses rare, high-severity operational loss events (e.g., major fraud, natural disasters) to estimate potential capital needs under Basel II’s AMA. Option A is correct. Option B is false—scenario analysis targets severe events, unlike RCSA, which identifies frequent risks. Option C is incorrect—external data is often used (Basel II, para. 671). Option D is wrong—scenarios include hypothetical events beyond current experience.

Exact Extract from Official Source:

BCBS, "Basel II: International Convergence of Capital Measurement and Capital Standards," June 2006, para. 672: "Scenario analysis is used to evaluate exposure to high-severity events… It complements historical loss data by considering rare but plausible loss scenarios."

GARP FRR Study Notes, Operational Risk Section: "Scenario analysis focuses on tail events—high-impact, low-frequency losses—distinguishing it from RCSA’s focus on routine risks."

Endogenous liquidity risk refers to the risk arising from the inherent characteristics of the asset itself, which can affect its liquidity under stress conditions.

A 2-year U.S. Treasury bond (Option A) and a 10-year U.S. Treasury bond (Option C) are both highly liquid because they are backed by the U.S. government and have deep, well-functioning markets.

A 1-week corporate loan with a AAA-rated company (Option B) has high credit quality and a short duration, making it relatively liquid.

A 3-year subprime mortgage (Option D), however, carries significant credit risk and is less liquid due to its lower credit quality and the potential for higher default rates, particularly under stress conditions. This makes it the asset with the greatest endogenous liquidity risk.

References

Based on information on liquidity risks and the inherent risk characteristics of various assets as discussed in the document​​.

Comprehensive and Detailed In-Depth Explanation:

Under Basel II’s Standardized Approach, non-performing loans (NPLs) past due > 90 days receive higher risk weights. For corporate loans:

150% risk weight applies if no specific provision exists and payments are > 90 days overdue (Option A).

If provisions cover < 20% of the outstanding amount, it’s still 150%; if > 20%, it drops to 100%. Option B is incorrect (100% requires provisions). Options C and D misalign with Basel II’s criteria (no 200% or 120-day rules).

Exact Extract from Official Source:

BCBS, "Basel II: International Convergence of Capital Measurement and Capital Standards," June 2006, para. 67: "Claims on corporates that are past due for more than 90 days will be risk-weighted at 150% unless specific provisions have been set aside… If provisions exceed 20% of the outstanding amount, the risk weight is reduced to 100%."

GARP FRR Study Notes, Credit Risk Section: "Non-performing corporate loans under the Standardized Approach are assigned a 150% risk weight when unprovisioned and overdue by more than 90 days."

Risk and Control Self-Assessments (RCSA) distinguish themselves from other types of assessments because they include both a risk assessment and a control assessment. This combined approach allows for a comprehensive view of both the potential risks and the effectiveness of the controls in place to mitigate those risks.

Given that BetaFin does not have retail branches and operates in fixed income, equity, and asset management divisions, the RCSA workshop approach is the best fit. This approach allows for interactive discussions among experts from different divisions, facilitating a deeper understanding of the operational risks specific to each division.

While diversifying a bank’s credit portfolio helps spread out credit risks, the goal in debt management is to minimize the impact of defaults, and default risk cannot be fully hedged away, meaning it will always exist for the credit holder or the person insuring against it.

However, it is incorrect to state that the value of loan exposure changes similarly to equity investments. Loan exposures are generally less volatile compared to equities, and their value is typically more stable.

Market-linked credit risk drivers often face specific disadvantages:

Need to supply a large number of input parameters to the model: Complex models require numerous data inputs, which can be challenging to obtain and maintain.

Slow computation speed due to higher simulation complexity: The complexity of these models can lead to slower computation times, making them less efficient for real-time analysis.

Non-linear nature of models and the need to estimate unknown variables are also relevant but are not as primary disadvantages as the first two mentioned.

References

Verified information from the document ​

Herd behavior in the context of credit defaults refers to a situation where the stigma of default decreases, leading more borrowers to default as they see others doing the same. This creates a pattern of increasing defaults in the neighborhood as more borrowers follow the trend.