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Human expertise, supported
by AI-driven investment analysis

Portfolio construction at Kuhn, Loeb & Co. combines 
senior investment judgement with advanced data-driven 
analysis to build robust, purpose-driven portfolios.
Portfolio Construction
Our process begins by establishing each client's investment objectives, risk appetite, time horizon, liquidity requirements, and mandate parameters. We then apply qualitative and quantitative screening to identify suitable securities, funds, ETFs, ETNs, AMCs, structured products, and external managers aligned with the client's strategy.
Technology Partner
Algo-Chain
We use institutional-quality investment tools from Algo-Chain, whose platform applies data science, machine learning signals, and traditional market indicators to support model portfolio design, construction, and monitoring.

This enhances our process — not replaces human judgement. Final decisions remain with our investment committee.
Human expertise
Our investment professionals remain central to every portfolio decision. We assess each opportunity in the context of the client's objectives, market conditions, portfolio construction requirements, suitability, liquidity, risk profile, and long-term wealth strategy.

This human judgement and experienced oversight ensures that every investment decision is purposeful, disciplined, and aligned with the client's mandate.
AI data-driven approach
We use AI-supported portfolio analytics to enhance, not replace, our investment process. Our technology assists our investment team with data analysis, risk-return assessment, exposure mapping, portfolio optimization, and rebalancing insights.

This allows us to evaluate opportunities more efficiently and construct portfolios with greater discipline and transparency.
Portfolio optimisation
By combining human expertise with AI-supported analysis, we seek to build robust portfolios designed to optimise risk-adjusted returns, preserve capital, and adapt to changing market conditions.

Portfolios are continuously monitored and rebalanced where appropriate, ensuring they remain aligned with each client's objectives and evolving market dynamics.
Portfolio monitoring
Volatility and risk metrics tracking
Suitability assessments against mandate parameters
Concentration and drawdown risk assessment
Systematic rebalancing and portfolio adjustment
Currency and liquidity exposure monitoring
Clear and transparent client reporting
Ongoing performance monitoring and attribution