Introduction
Effective risk management in GUQFXP hinges on allocating a fixed total noise budget across all 28 FX pairs, ensuring no single currency dominates your stop‐risk footprint. Under Law 7: Portfolio-Level Noise Budget, we define a global risk budget B and distribute it proportionally according to each pair’s relative volatility (DAATS). This deep dive shows you how to compute Noise-Sharei, allocate risk, explore alternative weighting schemes, and perform vital aggregation checks.
1. Defining the Total Noise Budget (Law 7)
Law 7 mandates that the portfolio’s total stop-risk (the sum of all individual Death-Stop distances) equals a predefined budget B. In GUQFXP, we set:
- Total Noise Budget (B):
0.50%
of equity
This means the combined risk of all 28 positions (if all stops were hit) never exceeds 0.50% of your account. By distributing this budget via Noise-Share, you align position sizing to each currency’s volatility contribution.
2. Computing Noise-Sharei from DAATSi
For each pair i:
// 1. Gather DAATS for all pairs
DAATS_i = fetchDAATS(i, timeframe="M1440")
// 2. Compute Noise-Share
NoiseShare_i = DAATS_i / Σₖ DAATS_k
Example (sample pairs):
Pair | DAATS | Noise-Share (≈)
---------|--------|----------------
EUR/USD | 13,048 | 0.2744
GBP/USD | 12,000 | 0.2524
AUD/USD | 11,500 | 0.2419
NZD/USD | 11,000 | 0.2313
These shares sum to 1.0 across your 28-pair universe.
3. Allocating 0.50%
Risk Per Pair
Once Noise-Sharei is known, assign each pair a risk allocation:
// Total risk budget B = 0.005 (0.50%)
RiskAlloc_i = NoiseShare_i × B
Example (continued):
Pair | Noise-Share | Risk-Alloc (% Equity)
---------|-------------|----------------------
EUR/USD | 0.2744 | 0.2744 × 0.50% ≈ 0.1372%
GBP/USD | 0.2524 | 0.1262%
AUD/USD | 0.2419 | 0.1210%
NZD/USD | 0.2313 | 0.1157%
This ensures ΣiRiskAlloci = 0.50% total risk. GATS then sizes each position so that its individual stop‐loss equals its RiskAlloci.
4. Alternative Weighting Schemes
While Noise-Share is default, you can tilt allocations using other schemes:
- Carry-Weighted: wi ∝ carryYieldi Weights based on interest-rate differentials; good for carry trades but may overexpose low-volatility pairs.
- Risk-Parity (Inverse Volatility): wi ∝ 1/σi Balances volatility contributions; smooths P&L but may underweight high-carry, high-vol pairs.
- Equal Risk Contribution (ERC): solve for weights w such that: wi·σi·Σj(wj·σj·ρij) = constant Ensures each pair contributes equally to portfolio risk considering correlations; most robust but requires correlation matrix.
Select the scheme that matches your strategic emphasis—carry yield vs. volatility balance vs. equalized risk.
5. Practical Risk-Aggregation & Concentration Checks
To validate your allocations:
- Sum-of-Risk Check: Verify ΣiRiskAlloci = B (0.50%).
- Max Concentration Rule: Cap any single RiskAlloci ≤
C_max
(e.g. 20% of B) to avoid overconcentration. - Correlation Adjustment: If two pairs have ρ > 0.85 (e.g. EUR/USD & GBP/USD), ensure combined risk ≤
C_pair_max
(e.g. 25% of B). - Stress Testing: Simulate simultaneous stop hits on top 5 DAATS pairs—ensure total loss ≤ B under worst-case scenarios.
Conclusion
Under Law 7, Noise-Share risk budgeting gives GUQFXP a principled, volatility-anchored allocation that keeps total stop-risk within 0.50% of equity. Alternative weighting schemes and rigorous aggregation checks let you adapt the portfolio to different market objectives—be it carry focus, volatility balance, or equal risk contribution.
About the Author
Dr. Glen Brown is President & CEO of Global Accountancy Institute, Inc. and Global Financial Engineering, Inc., with over 25 years in quantitative trading and risk management. He designed the GATS platform and the Nine-Laws quantum risk engine to deliver adaptive, regime-aware portfolios.
Closed Business Model Disclaimer
All methodologies described are proprietary to Global Accountancy Institute, Inc. and Global Financial Engineering, Inc. and are for internal use only. No external services are offered.
Risk Disclaimer
Trading involves significant risk, including loss of principal. The strategies and examples herein are educational and not financial advice. Past performance does not guarantee future results.