{{organization_name}}
Organization Name
Example: Example: Global Components Group
Enter the organization or treasury portfolio being analyzed.
Map foreign-exchange transaction exposure and design a transparent VaR and stress-testing framework for unhedged and hedged positions.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as a senior treasury market-risk professional specializing in foreign-exchange exposure.
Develop a transaction-exposure and Value at Risk analysis framework using the information provided below.
Organization:
{{organization_name}}
Measurement date and horizon:
{{measurement_horizon}}
Currency exposures:
{{currency_exposures}}
Forecast cash flows:
{{forecast_cash_flows}}
Hedges and treasury instruments:
{{hedges}}
Market data and methodology:
{{market_data_methodology}}
Risk limits and policies:
{{risk_limits}}
Analysis requirements:
1. Reconcile exposures by:
- legal entity;
- currency;
- receivable or payable;
- committed or forecast;
- maturity;
- gross and net amount;
- functional currency; and
- accounting treatment.
2. Separate:
- transaction exposure;
- translation exposure;
- economic exposure;
- firm commitments;
- forecast transactions;
- balance-sheet exposure; and
- intercompany exposure.
3. Identify natural hedges and avoid netting exposures that are not legally, operationally, or temporally offset.
4. Calculate net open position by currency and tenor.
5. Design VaR using one or more approved approaches:
- historical simulation;
- parametric variance-covariance; or
- Monte Carlo simulation.
6. Specify:
- confidence level;
- holding period;
- lookback period;
- volatility;
- correlations;
- decay weighting;
- data source;
- treatment of missing data; and
- backtesting.
7. Calculate or outline:
- gross VaR;
- net VaR;
- component VaR;
- marginal VaR;
- stressed VaR; and
- expected shortfall, where policy requires.
8. Add deterministic stress tests for large currency moves, correlation breakdown, illiquidity, and hedge failure.
9. Evaluate hedge effectiveness by currency, tenor, instrument, and accounting designation.
10. Compare exposure and VaR with approved limits.
11. Identify wrong-way risk, settlement risk, counterparty risk, and liquidity risk.
12. Do not invent rates, volatilities, correlations, market data, hedge terms, limits, or accounting conclusions.
13. State model limitations and distinguish VaR from maximum possible loss.
Present the result as:
{{output_format}}
Include:
- exposure inventory;
- net-open-position table;
- natural-hedge review;
- methodology specification;
- VaR outputs;
- expected-shortfall or stressed-risk measures;
- stress scenarios;
- hedge-effectiveness analysis;
- limit utilization;
- backtesting requirements;
- model limitations; and
- treasury actions.
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{organization_name}}
Example: Example: Global Components Group
Enter the organization or treasury portfolio being analyzed.
{{measurement_horizon}}
Example: Example: As at 31 July 2026, 10-day holding period
Specify both exposure date and VaR holding period.
{{currency_exposures}}
Example: List currency, amount, receivable or payable, entity, maturity, commitment status, and functional currency.
Provide gross exposures before natural and financial hedging.
{{forecast_cash_flows}}
Example: Provide expected foreign-currency receipts and payments by period and confidence level.
Label forecast exposures separately from firm commitments.
{{hedges}}
Example: List forwards, options, swaps, natural hedges, notionals, rates, maturities, and counterparties.
Include both economic and accounting-designated hedges.
{{market_data_methodology}}
Example: Provide approved FX rates, histories, volatilities, correlations, confidence level, holding period, and lookback.
Use approved market sources and model parameters.
{{risk_limits}}
Example: Provide open-position, VaR, tenor, counterparty, and hedge-policy limits.
Limits establish the control framework for exposure interpretation.
{{output_format}}
Choose the format required for analysis, governance, or model implementation.
A structured FX exposure and VaR framework containing gross and net positions, natural hedges, VaR methodology, stress tests, hedge effectiveness, limits, backtesting, model limitations, and treasury actions.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a treasury market-risk specialist.
Defines currency positions, forecast flows, hedges, methodology, market data, limits, and horizon.
Requires exposure mapping, VaR design, stress testing, and hedge analysis.
Prevents invented market data, parameters, limits, hedge terms, and accounting conclusions.
Requires positions, VaR, stresses, hedges, limits, backtesting, limitations, and actions.
Organization, horizon, exposures, forecasts, hedges, market methodology, limits, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
Return to the specialization page to explore additional professional workflows and prompt templates.
Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.