Portfolio Construction Memo

Date: January 14, 2026 Portfolio Universe: highwater, mt2x, persistent, tellurian, quantstrat, syntax, velox Risk-Free Rate: 4.00% Max Weight Constraint: 40.0% CVaR Alpha: 5.0%

1. Executive Summary

Recommended Allocation: MaxSharpe

Metric	Value
Expected Return	19.6%
Volatility	1.9%
Sharpe Ratio	8.35
CVaR (95%)	-0.04%
Max Drawdown	-0.41%

Rationale: The MaxSharpe portfolio delivers the highest risk-adjusted return among all optimization objectives, achieving a Sharpe ratio of 8.35 compared to 3.56 for EqualWeight. While the expected return is modestly lower than EqualWeight (19.6% vs 22.3%), the dramatic reduction in volatility (1.9% vs 5.2%) and tail risk (CVaR of -0.04% vs -0.26%) makes this the superior choice for institutional allocation. The portfolio maintains acceptable diversification while concentrating capital in the most efficient return-generating strategies.

Source: portfolio_performance.csv

2. Correlation Analysis

2.1 Correlation Matrix

	highwater	mt2x	persistent	tellurian	quantstrat	syntax	velox
highwater	1.00	0.16	-0.07	0.03	0.03	-0.06	0.08
mt2x	0.16	1.00	-0.01	0.21	0.01	-0.01	0.04
persistent	-0.07	-0.01	1.00	0.05	0.10	0.26	0.05
tellurian	0.03	0.21	0.05	1.00	-0.17	-0.01	0.05
quantstrat	0.03	0.01	0.10	-0.17	1.00	0.13	-0.05
syntax	-0.06	-0.01	0.26	-0.01	0.13	1.00	-0.02
velox	0.08	0.04	0.05	0.05	-0.05	-0.02	1.00

Source: portfolio_correlation.csv

2.2 Diversification Assessment

Metric	Value	Assessment
Max Correlation	0.26	Good
Negative Correlations	8 pairs	highwater/persistent, highwater/syntax, mt2x/persistent, mt2x/syntax, tellurian/quantstrat, tellurian/syntax, quantstrat/velox, syntax/velox
Correlation > 0.5	0 pairs	None

Key Observations:

Exceptionally low inter-strategy correlations with maximum pairwise correlation of only 0.26 (persistent/syntax), indicating strong diversification potential
Eight strategy pairs exhibit negative correlations, providing natural portfolio hedging benefits
No high correlation concerns (all below 0.30), suggesting each strategy contributes unique return sources
The tellurian/quantstrat pair (-0.17) offers the strongest inverse relationship for tail risk mitigation

3. Optimization Results

3.1 Performance Comparison

Portfolio	Exp. Return	Volatility	Sharpe	CVaR(95)	Max DD
EqualWeight	22.3%	5.2%	3.56	-0.26%	-1.46%
MaxSharpe	19.6%	1.9%	8.35	-0.04%	-0.41%
MinVar	15.2%	1.4%	7.88	-0.04%	-0.21%
RiskParity	17.2%	2.0%	6.61	-0.07%	-0.51%
CVaR	14.6%	1.3%	7.98	-0.03%	-0.25%

Source: portfolio_performance.csv

3.2 Weight Allocations

Strategy	EqualWeight	MaxSharpe	MinVar	RiskParity	CVaR
highwater	14.3%	7.4%	2.6%	7.1%	0.9%
mt2x	14.3%	2.7%	1.9%	6.0%	0.7%
persistent	14.3%	31.6%	14.6%	17.1%	13.0%
tellurian	14.3%	1.1%	0.5%	3.0%	0.4%
quantstrat	14.3%	10.4%	30.8%	24.7%	36.1%
syntax	14.3%	7.3%	15.1%	17.5%	8.9%
velox	14.3%	39.4%	34.4%	24.8%	40.0%

Source: portfolio_weights.csv

3.3 Analysis

MaxSharpe delivers 2.3x improvement in risk-adjusted returns over EqualWeight (Sharpe of 8.35 vs 3.56) by concentrating in velox (39.4%) and persistent (31.6%), which offer superior return-per-unit-risk characteristics
MinVar and CVaR portfolios favor quantstrat and velox, achieving the lowest volatility profiles (1.3-1.4%) but sacrificing 4-7 percentage points of expected return
RiskParity provides balanced exposure across strategies but delivers only 6.61 Sharpe, underperforming MaxSharpe by 26% on risk-adjusted basis
All optimized portfolios dramatically reduce tellurian and mt2x exposure (0.4-6.0% vs 14.3% EqualWeight), suggesting these strategies contribute noise without commensurate return

4. Risk Contribution Analysis

Note: Risk contribution file not available; analysis based on portfolio weights as proxy for risk allocation.

4.1 Recommended Portfolio Weights

Strategy	Weight	Role
velox	39.4%	Primary - Anchor allocation driving portfolio returns
persistent	31.6%	Primary - Core holding with stable return profile
quantstrat	10.4%	Secondary - Diversification and moderate return contribution
highwater	7.4%	Satellite - Portfolio stabilizer with negative correlations
syntax	7.3%	Satellite - Diversification benefit via low correlations
mt2x	2.7%	Satellite - Minimal allocation, retained for diversification
tellurian	1.1%	Satellite - De minimis holding, candidate for exclusion

4.2 Concentration Assessment

Metric	Value
Top 1 Strategy Weight	39.4% (velox)
Top 2 Strategies Combined	71.0% (velox + persistent)
Strategies > 20% Weight	2 (velox, persistent)
Strategies < 5% Weight	2 (mt2x, tellurian)

4.3 EqualWeight vs Optimized Comparison

Metric	EqualWeight	Recommended (MaxSharpe)	Improvement
Volatility	5.2%	1.9%	-63%
Sharpe Ratio	3.56	8.35	+135%
Max Drawdown	-1.46%	-0.41%	-72%

5. Implementation Considerations

5.1 Rebalancing

Frequency	Recommendation
Calendar-based	Monthly
Drift trigger	5% absolute

5.2 Transaction Costs

Factor	Estimate
Expected monthly turnover	3-8%
Slippage assumption	5 bps
Annual cost impact	15-40 bps

5.3 Liquidity & Sizing

Account Size	Implementation Notes
< $1M	Full implementation feasible; may round small allocations (mt2x, tellurian) to zero
$1M - $10M	Standard implementation; all seven strategies can be sized appropriately
> $10M	Monitor capacity constraints on velox and persistent; may require phased entry for large reallocations

6. Governance & Limits

6.1 Position Limits

Strategy	Target	Min	Max
velox	39.4%	30%	40%
persistent	31.6%	25%	40%
quantstrat	10.4%	5%	20%
highwater	7.4%	0%	15%
syntax	7.3%	0%	15%
mt2x	2.7%	0%	10%
tellurian	1.1%	0%	5%

6.2 Drawdown Triggers

Level	Threshold	Action
Watch	-0.5%	Increase monitoring frequency to daily; document conditions
Alert	-1.0%	Convene investment committee review; assess factor exposures
Action	-2.0%	Reduce gross exposure by 25%; halt new allocations
Stop	-3.0%	Reduce to 50% target weights; comprehensive strategy review required

6.3 Rebalancing Triggers

Trigger	Threshold	Action
Calendar	Monthly	Rebalance to targets on first business day
Single position drift	>5%	Partial rebalance of drifted position only
Aggregate drift	>10%	Full portfolio rebalance to all targets

7. Recommendation

7.1 Final Allocation

Strategy	Weight
velox	39.4%
persistent	31.6%
quantstrat	10.4%
highwater	7.4%
syntax	7.3%
mt2x	2.7%
tellurian	1.1%
Total	100.0%

7.2 Conditions for Implementation

Verify sufficient liquidity in velox and persistent to support 71% combined allocation without adverse market impact
Confirm operational readiness for all seven strategies including trade execution infrastructure and risk monitoring systems
Establish baseline performance attribution framework to distinguish strategy alpha from factor beta exposure

7.3 Key Risks to Monitor

Risk	Indicator	Mitigation
Concentration Risk	Top 2 holdings exceed 70%	Monitor correlation regime changes between velox/persistent; consider RiskParity as fallback allocation
Capacity Constraints	Slippage exceeds 10 bps on rebalance	Phase large trades over multiple sessions; explore alternative execution venues
Regime Change	Sharpe ratio falls below 4.0 for 3 consecutive months	Re-run optimization with updated data; consider rotation to MinVar or CVaR portfolio
Correlation Breakdown	Any pairwise correlation exceeds 0.5	Immediate review of affected strategies; reduce combined exposure if persistent

Data Sources:

/Users/syntax/projects/finance/allocator_analysis/reports/full_portfolio/portfolio_weights.csv
/Users/syntax/projects/finance/allocator_analysis/reports/full_portfolio/portfolio_performance.csv
/Users/syntax/projects/finance/allocator_analysis/reports/full_portfolio/portfolio_correlation.csv

portfolio_construction.md