Financial services
Risk ManagementMaturity: concept
Scenario analysis, stress testing, VaR and constraint optimisation.
concept — An idea we find credible. Nothing has been built or measured.
What this is
The problem
Risk systems answer "how bad could this get" by simulating many possible futures. The quality of the answer depends on how many, and on whether the tail scenarios that matter were among them.
Where the current approach strains
Monte Carlo converges slowly. Getting a stable tail estimate takes a great many paths, and the paths that matter most are the rarest. Firms compensate with variance reduction and by running fewer scenarios than they would like.
What we are exploring
Quantum amplitude estimation is one of the clearer theoretical cases in finance, with a well-understood scaling argument for Monte Carlo. Whether that argument survives contact with real hardware, error rates and data loading is a separate question, and the honest answer today is that it does not yet.
What would have to be true
A demonstration on a real risk calculation, including the cost of getting data in and results out — which is where the theoretical advantage has historically gone to die.
Where it applies
Related
Insurance
Risk pricing, scenario modelling, claims/fraud analysis and portfolio management concepts.
Trading Optimization
Execution optimisation, transaction costs, market impact and dynamic allocation.
Portfolio Optimisation
QUBO, VQE/QAOA and hybrid concepts for asset allocation and risk-return trade-offs.