Interactive first
Every applet exposes a small set of meaningful inputs, updates its visual output immediately and explains the change in plain language.
Transparent examples for difficult ideas.
Quant$ense separates the rule, the calculation and the teaching assumption so learners can see what is prescribed and what is illustrative.
Traceable calculations
FRTB lessons show intermediate rows for weights, correlations, tails, liquidity scaling, desk tests and capital assembly.
Source-aware
FRTB references link to PRA2026/1. Stochastic lessons point learners to Shreve’s books and identify the scope of each example.
Risk sensitivities
The risk path compares simplified full repricing with local derivatives. Bonds use annual coupons and flat continuous discounting; swaps use a single curve; CDS uses a flat hazard and continuous premiums; vanilla options use Black–Scholes or Garman–Kohlhagen. Units and sign conventions are shown beside each experiment.
FRTB experiments
The optimisation sandbox isolates a named SA delta component, rather than total bank capital. Data tests distinguish prescribed cadence and permission requirements from adjustable teaching tolerances; a statistical diagnostic does not certify regulatory compliance.
Educational boundaries
Examples use synthetic portfolios, simplified distributions and selected prescribed parameters. They do not replace the source documents, professional judgement, model validation, legal advice or regulatory approval.