Our Services: Quant-Meets-Behavior at Fraction of the Cost

Behavioral CIO delivers institutional-grade insights—inspired by quant funds such as AQR and pension consultants—without the high fees or conflicts. We focus on behavioral change, process development, and risk enhancement for HNW clients and small institutions struggling with underperformance and opportunity costs. No AUM fees; just high-ROI packages.

High-Net-Worth Individuals and Families

• Tier 1: Foundation Reset: Emotional intelligence and bias identification via exercises and reports. 4 consultation hours; save vs. therapists or advisors.
• Tier 2: Discipline Mastery: Python analytics on past trades, stop-loss optimization, and risk education. 8 hours; quant-level value without fund minimums.
• Tier 3: Advanced Legacy: Operating model design, Monte Carlo outcomes, and wealth protection. 16 hours; pension rigor at coaching prices.

Small Institutions

• Tier 1: Bias Audit: Team-focused reviews and insights. 4 hours; undercuts pension consultant fees.
• Tier 2: Analytics Optimization: Dashboard-driven performance attribution, drawdown playbooks. 8 hours; save vs. hiring full time quantitative analysts.
• Tier 3: Full Framework: Investment Policy Statement, simulations, and case studies. 16 hours; family office governance without private bank overhead.

Tools and Analytics Included in Our Packages

To ensure you receive tangible, data-driven value, our services incorporate advanced empirical tools and frameworks grounded in quantitative portfolio analytics and behavioral finance research. These are customized to your needs and help quantify biases, simulate outcomes, and optimize decisions—making complex concepts accessible while delivering institutional-level insights. Key elements drawn from our analytical toolkit include:

• Python-Powered Dashboards and Analytics: Real-time portfolio visualization, hidden bias detection (e.g., disposition effect, overtrading patterns), and correlation cluster identification using EODHD data feeds.
• Monte Carlo Simulations: Probabilistic forecasting of portfolio outcomes under various market scenarios to stress-test strategies.
• Drawdown Control and Risk Playbooks: Custom codes and templates for managing losses, including stop-loss optimization and contingency planning.
• Bessembinder-Inspired Winners/Losers Analysis: Evaluation of historical wealth creators/destroyers (e.g., economic moat integration) to inform stock selection and concentration risks.
• Investment Policy Statement (IPS) Templates: Structured frameworks for defining your investment process, risk tolerance, and behavioral checkpoints.
• Decision-Making Under Uncertainty Case Studies: Empirical examples with Bayesian frameworks to handle volatility and ambiguity.
• Performance Attribution and Stress Testing: Factor decomposition (e.g., gains/losses due to selection vs. behavioral factors) and hypothetical drawdown simulations.

These tools are integrated progressively across tiers—starting with basic bias profiling in Tier 1 and scaling to advanced stochastic modeling in Tier 3