Over the trailing observation window, the primary shift in the risk landscape has been the divergence in volatility profiles between domestic UK assets and the international exposures within this model. For a London-based investor, the strengthening of the GBP against the USD and INR at various intervals has acted as a natural dampener on gross returns, effectively modifying the realised variance of the S&P 500 and BSE Sensex.

The exit from high-growth software names (Palantir and AppLovin) significantly alters the portfolio’s volatility profile. These assets provided substantial idiosyncratic alpha but carried variance risks. The transition into GE Aerospace (GE), Micron (MU), and Lam Research (LRCX) shifts the risk focus toward industrial aerospace and the hardware layer of the semiconductor cycle.

Currency remains a primary risk vector. While the USD has historically provided a tailwind to UK-based holders of US assets, recent shifts in interest rate expectations between the Bank of England and the Federal Reserve have introduced higher "basis risk" for London-based investors.

Meanwhile, the BSE Sensex continues to demonstrate a unique decoupling from Western volatility cycles, maintaining its role as a significant diversifier within the Kelly-weighted framework. The risk is no longer just a matter of price direction, but of the increased cost of holding concentrated positions as correlations fluctuate.

Why the Core Framework Remains Appropriate

We continue to utilize the Continuous Kelly Criterion (𝑓*=(𝜇−𝑟)/𝜎2) to determine position sizing. This framework ensures that capital is allocated based on the mathematical relationship between excess return and variance. 

By rebalancing monthly, the model captures the "volatility tax" as a source of growth rather than a loss, ensuring that even as we rotate into cyclical names like MU, the portfolio remains sized for long-term survival.

The core framework is anchored in probabilistic sizing rather than narrative chasing. By excluding index trackers and focusing The continuous Kelly framework used for this model portfolio is designed to solve for one specific objective: maximising long-term capital growth while strictly respecting the observed volatility of each asset.

By adjusting all international returns (S&P 500, Nasdaq, Sensex) into GBP terms, the framework accounts for the "hidden" risk of currency erosion, which often undermines UK-based portfolios. This month, the framework maintains heavy weighting in sectors where the realised growth has consistently outpaced the associated volatility. 

What We Are Deliberately Not Reacting To

We are not reacting to short-term fluctuations in the GBP/USD exchange rate or recent quarterly earnings "surprises" in the technology sector. While market sentiment may fluctuate based on central bank rhetoric in London or Washington, the model remains anchored in the four-year realized data trend.

Adjustments are made based on structural changes in risk-adjusted returns, not on the anticipation of future moves. We remain indifferent to narrative-driven volatility, focusing instead on the geometric growth of the total capital pool.

Why Position Sizing and Risk Balance Matter More Than Ideas

It is a common misconception that investment success is purely a result of finding the "right" company. In reality, the most insightful idea can lead to financial ruin if the position size is inappropriate.

The discipline of this model lies in treating every asset not as a "story," but as a probability distribution. Position sizing is the bridge between an idea and capital survival. By anchoring allocations to volatility and historical performance, we remove the emotional impulse to "double down" on losers or exit winners too early. Discipline under uncertainty means accepting that we do not know the future; we only know the mathematical cost of being wrong.

Final Positioning Summary

These model portfolios illustrate different investment approaches and risk profiles for educational and informational purposes. They are intended as a reference frame to prevent emotional reactions to market volatility.

Subscribers seeking a more granular view of how these models shift across different economic regimes may find value in our expanded research tiers. These provide additional comparative context on how different weighting models perform.

Please note that this Tier-1 Research Letter is a baseline reference frame. It does not include comparative framework analysis, methodology evolution notes, or specific scenario stress-testing, focusing on the current model state rather than speculative alternatives.

We publish global investment research and model portfolios designed to help self-directed investors understand asset allocation, risk, and long-term portfolio construction.

We do not provide personalised investment advice or manage client assets.