How Stress-Testing Exposed a Critical Concentration Risk Before It Was Too Late
When markets became turbulent, Daniel panicked. Not unreasonably — his $940,000 portfolio was down 22% in eight months, and it felt like it was continuing to fall. He was 58 and had planned to retire at 63. He called VAWAM in visible distress, asking a single question: “Should I just move everything to cash?”
That question — as understandable as it was — would have been one of the most expensive decisions of Daniel’s financial life if acted upon. But the more important question, revealed through a stress-test and risk analysis we conducted in the first meeting, was why Daniel’s portfolio had fallen so much harder than the broader market, which was down only 14% over the same period.
The VAWAM Approach
The first step was a full portfolio composition analysis. We mapped every holding — every ETF, every mutual fund, every individual stock — against its sector, geography, market cap, and factor exposure. What emerged was striking. Daniel’s portfolio had a 61% effective concentration in technology and technology-adjacent growth equities. This had been invisible to him because it was spread across several different funds with different names and different labels. He believed he was diversified. The portfolio analysis revealed he was not.
Technology-heavy portfolios outperform dramatically in bull markets — which is why the portfolio had grown so well in the five years before the correction. But they underperform catastrophically in rate-rising environments and risk-off rotations, which is exactly what had happened. Daniel’s portfolio was not behaving unusually for its actual composition — it was behaving exactly as it should, which was the problem.
We then ran a series of stress tests — historical scenario analyses modelling Daniel’s specific portfolio against five historical market episodes: the 2000-2002 dot-com collapse, the 2008-2009 financial crisis, the 2018 Q4 correction, the 2020 COVID crash, and the 2022 rate-rising correction. The results were sobering. Under a dot-com scenario, Daniel’s current composition would have lost 58% of its value — which on a $940,000 portfolio meant a paper loss of $545,000.
That scenario, at age 58 with a five-year horizon to retirement, was not recoverable. The mathematics of loss recovery — you need a 138% gain to recover from a 58% loss — made the risk existential for Daniel’s retirement timeline.
The stress-test was not designed to terrify Daniel — it was designed to quantify the risk clearly so that the restructuring conversation was grounded in evidence rather than emotion.
Working with a CIRO-registered advisory partner, we designed a rebalancing plan that reduced technology concentration from 61% to 24%, introduced meaningful allocations to value equities, international developed markets, dividend-paying sectors, real assets, and shorter-duration fixed income. The rebalancing was implemented in stages over six weeks to manage tax consequences in the non-registered portion of the portfolio and avoid crystallizing the paper losses unnecessarily.
The Outcome
Daniel did not move to cash. The portfolio was restructured through the remainder of the downturn and participated in the subsequent recovery in a more balanced way — recovering to its pre-correction value 14 months later. The restructured, stress-tested portfolio, when subsequently run through the same Monte Carlo analysis we use for all clients, showed a 91% probability of funding Daniel’s retirement to age 92 at his planned withdrawal rate.
The concentration risk that had been silently building in Daniel’s portfolio for five years — invisible in the labels on his fund names — was identified and corrected before it caused permanent damage.
What This Means for You
Volatility is uncomfortable. Concentration risk is dangerous. The difference between the two is the difference between temporary pain and permanent loss. VAWAM stress-tests every client portfolio to understand what it will actually do under pressure — not just what it has done in calm markets.