Contrary to common belief, the Total Portfolio Approach (TPA) isn't about nimble trading. It's a framework that uses data to understand the risk of any investment relative to a simple reference portfolio (e.g., 70/30). This allows allocators to fund compelling opportunities flexibly, freed from rigid, pre-defined asset class silos.

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Allocate more capital to businesses with a highly predictable future (a narrow "cone of uncertainty"), like Costco. Less predictable, high-upside bets should be smaller positions, as their future has a wider range of possible outcomes. Conviction and certainty should drive allocation size.

Over the past two decades, equity analysis has evolved beyond simply valuing a company's physical or financial assets. The modern approach focuses on identifying "alpha" factors—trading baskets of stocks grouped by shared characteristics like strong balance sheets or non-US revenue exposure.

Conventional definitions of risk, like volatility, are flawed. True risk is an event you did not anticipate that forces you to abandon your strategy at a bad time. Foreseeable events, like a 50% market crash, are not risks but rather expected parts of the market cycle that a robust strategy should be built to withstand.

Investors should establish a baseline risk level on a 0-100 scale based on personal factors like age and wealth. This becomes their default posture. The more advanced skill is then to tactically deviate from this baseline—becoming more or less aggressive—based on whether the prevailing market environment is offering generous or precarious opportunities.

The modern market is driven by short-term incentives, with hedge funds and pod shops trading based on quarterly estimates. This creates volatility and mispricing. An investor who can withstand short-term underperformance and maintain a multi-year view can exploit these structural inefficiencies.

Howard Marks argues that you cannot maintain a risk-on posture and then opportunistically switch to a defensive one just before a downturn. Effective risk management requires that defense be an integral, permanent component of every investment decision, ensuring resilience during bad times.

Absolute truths are rare in complex systems like markets. A more pragmatic approach is to find guiding principles—like "buy assets for less than they're worth"—that are generally effective over the long term, even if they underperform in specific periods. This framework balances conviction with flexibility.

A core discipline from risk arbitrage is to precisely understand and quantify the potential downside before investing. By knowing exactly 'why we're going to lose money' and what that loss looks like, investors can better set probabilities and make more disciplined, unemotional decisions.

The goal of classifying the market into regimes like "slowdown" or "risk-on" is not to predict exact outcomes. Instead, it's a risk management tool to determine when it's appropriate to apply significant leverage (only during clear tailwinds) versus staying defensive in uncertain conditions.

Shifting capital between asset classes based on relative value is powerful but operationally difficult. It demands a "coordination tax"—a significant organizational effort to ensure different teams price risk comparably and collaborate. This runs counter to the industry's typical siloed, product-focused structure.

'Total Portfolio Approach' Is a Data Framework for Flexible Funding, Not Market Timing | RiffOn