portfolio1_sdk_velox_quantstrat

portfolio_construction.md

Portfolio Construction Memo

Date: January 16, 2026 Portfolio Universe: quantstrat, velox Risk-Free Rate: 4.00% Max Weight Constraint: 65.0% CVaR Alpha: 5.0%


1. Executive Summary

Recommended Allocation: MaxSharpe

MetricValue
Expected Return16.1%
Volatility1.7%
Sharpe Ratio7.13
CVaR (95%)-0.04%
Max Drawdown-0.29%

Rationale: The MaxSharpe portfolio delivers the highest risk-adjusted return with a Sharpe ratio of 7.13, meaningfully outperforming the EqualWeight baseline (6.35 Sharpe). While it tilts toward velox at the 65% constraint maximum, this is justified by velox's superior return profile. The extremely low correlation between strategies (0.07) ensures genuine diversification benefits are preserved despite the concentrated tilt.

Source: portfolio_performance.csv


2. Correlation Analysis

2.1 Correlation Matrix

quantstratvelox
quantstrat1.000.07
velox0.071.00

Source: portfolio_correlation.csv

2.2 Diversification Assessment

MetricValueAssessment
Max Correlation0.07Excellent
Negative Correlations0 pairsN/A
Correlation > 0.50 pairsNone

Key Observations:

  • The correlation of 0.07 between quantstrat and velox indicates near-zero linear relationship, providing exceptional diversification
  • Both strategies can be expected to perform independently, reducing portfolio-level drawdowns
  • This low correlation is a rare and valuable characteristic that should be preserved

3. Optimization Results

3.1 Performance Comparison

PortfolioExp. ReturnVolatilitySharpeCVaR(95)Max DD
EqualWeight13.9%1.6%6.35-0.04%-0.42%
MaxSharpe16.1%1.7%7.13-0.04%-0.29%
MinVar13.9%1.6%6.35-0.04%-0.42%
RiskParity13.9%1.6%6.35-0.04%-0.42%
CVaR15.5%1.7%6.96-0.04%-0.28%

Source: portfolio_performance.csv

3.2 Weight Allocations

StrategyEqualWeightMaxSharpeMinVarRiskParityCVaR
quantstrat50.0%35.0%50.0%50.0%39.3%
velox50.0%65.0%50.0%50.0%60.7%

Source: portfolio_weights.csv

3.3 Analysis

  • MaxSharpe dominates on risk-adjusted basis: The 7.13 Sharpe ratio represents a 12% improvement over the EqualWeight benchmark (6.35), with the lowest max drawdown (-0.29%)
  • MinVar and RiskParity converge to EqualWeight: Due to the near-identical volatility profiles of both strategies and their low correlation, these optimizers find no benefit from deviating from equal weights
  • CVaR optimization favors velox: The CVaR portfolio tilts 60.7% to velox, suggesting velox has a more favorable tail risk profile
  • All portfolios exhibit exceptional risk characteristics: Daily volatility of 1.6-1.7% and max drawdowns under 0.5% indicate both strategies are highly risk-controlled

4. Risk Contribution Analysis

4.1 Recommended Portfolio Weights

StrategyWeightRole
velox65.0%Primary
quantstrat35.0%Secondary

Note: Risk contribution file not available. Weights used as proxy for risk contribution given similar strategy volatilities.

4.2 Concentration Assessment

MetricValue
Top 1 Strategy Weight65.0%
Top 2 Strategies Combined100.0%
Strategies > 20% Weight2
Strategies < 5% Weight0

4.3 EqualWeight vs Optimized Comparison

MetricEqualWeightRecommendedImprovement
Expected Return13.9%16.1%+16%
Volatility1.6%1.7%+6%
Sharpe Ratio6.357.13+12%
Max Drawdown-0.42%-0.29%-31%

5. Implementation Considerations

5.1 Rebalancing

FrequencyRecommendation
Calendar-basedMonthly
Drift trigger5% absolute

5.2 Transaction Costs

FactorEstimate
Expected monthly turnover2-5%
Slippage assumption5 bps
Annual cost impact10-25 bps

5.3 Liquidity & Sizing

Account SizeImplementation Notes
< $1MFull allocation feasible with minimal market impact
$1M - $10MMonitor capacity constraints; may require scaled entry
> $10MAssess strategy capacity limits; discuss with strategy managers

6. Governance & Limits

6.1 Position Limits

StrategyTargetMinMax
velox65.0%55%65%
quantstrat35.0%35%45%

6.2 Drawdown Triggers

LevelThresholdAction
Watch-0.5%Monitor daily; review strategy performance
Alert-1.0%Reduce position sizes by 25%; notify risk committee
Action-2.0%Reduce to 50% exposure; conduct strategy review
Stop-3.0%Exit positions; full strategy reassessment

6.3 Rebalancing Triggers

TriggerThresholdAction
CalendarMonthlyRebalance to targets
Single position drift>5%Partial rebalance
Aggregate drift>10%Full rebalance

7. Recommendation

7.1 Final Allocation

StrategyWeight
velox65.0%
quantstrat35.0%
Total100.0%

7.2 Conditions for Implementation

  1. Confirm both strategies have sufficient capacity for intended allocation size
  2. Verify execution infrastructure supports monthly rebalancing with minimal slippage
  3. Establish real-time monitoring for drawdown triggers

7.3 Key Risks to Monitor

RiskIndicatorMitigation
Correlation regime changeRolling 60-day correlation > 0.30Reduce velox weight toward 50%
Velox underperformance3-month trailing return < quantstrat by 5%+Review strategy fundamentals; consider CVaR allocation
Volatility spikeDaily vol > 3% for 5+ daysReduce overall exposure by 25%

Data Sources:

  • /Users/syntax/projects/finance/allocator_analysis/reports/portfolio1_sdk_velox_quantstrat/portfolio_weights.csv
  • /Users/syntax/projects/finance/allocator_analysis/reports/portfolio1_sdk_velox_quantstrat/portfolio_performance.csv
  • /Users/syntax/projects/finance/allocator_analysis/reports/portfolio1_sdk_velox_quantstrat/portfolio_correlation.csv