Economic Risk Capital (ERC) Methodology Enhancement for a large Global Bank
Client : A large Global Bank
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Objective
Develop/redevelop Economic Risk Capital (ERC) models to quantify various types of traditional and non-traditional risks involved in different desks in the bank
Revamp the existing ERC framework to a robust and stable capital model particularly for non-positional risk methodologies
CRISIL's solution
Designed a VaR equivalent of Expected Shortfall (ES), which allows the bank to implement a risk system based on ES as emphasised by new regulatory guidelines (FRTB)
Developed a new methodology to estimate annual risk numbers from 10-day PnLs that successfully tackles various issues with the current methodology such as skewness and fat-tails of distributions
Developed a generic Percentile Scaling Model, enabling the bank to scale the risk number calculated at a lower confidence level to higher confidence levels
Redeveloping the current methodology to capture the non-positional risks such as FXT, Insurance, Pension and Business in a more robust way
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