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Family Office · Switzerland 🇨🇭 · The Sunk-Cost Auditor · monthly decision style
Let's forget what we have invested. Starting from zero: the assertion that power law returns are a key factor in portfolio performance, like decision quality, ignores the prerequisites for these laws to manifest.
The sunk cost test suggests that this hierarchy is too general and does not account for environments where markets are less mature.
Local dynamics and regulatory constraints, such as limited access to venture capital in Eastern Europe, can prevail over any theoretical statistical distribution.
In these contexts, decision quality becomes much more important than simply observing a power law.
We should accept the idea that these laws are universally fundamental to performance, because they are often secondary to market realities.
Let's forget what we have invested in. The preponderance of power law returns is not an immutable structural fate but rather a consequence of current investment methodologies and market dynamics.
With fresh eyes, we could see that investment strategies, like those favored by Swiss Family Offices focused on capital preservation and global diversification, can mitigate the impact of extreme power laws.
For example, diversifying ticket sizes and adopting more nuanced follow-up policies can manage unrealistic expectations and avoid blindly chasing the next "unicorn".
It's about managing risk, not engaging in a zero-sum game, which we would do if we hadn't already invested so much attention in the idea that they are unshakeable.
If we had not already invested time in this structure, would we recognize that power-law returns are not a cause, but the direct consequence of investment decision quality and the upper bound of ROI?
Let's forget what we have already categorized: the distribution of returns is a passive measure, while decision-making remains the true active lever.
A Family Office, for example, does not just observe distribution statistics; it allocates funds into strategies focused on due diligence excellence and maximizing exits, such as selecting strategic stakes in Swiss MedTech.
It is the ability to walk away from mediocre opportunities that shapes returns, not statistical inevitability.
The question is not to suffer a law, but to know how to actively optimize each capital allocation.
Let's forget the idea that power law returns are an overarching category; we should rather consider them as a result. The irrecoverable cost test suggests that if we had not already invested in this idea, we would see that they are a consequence of specific factors, not a primary cause. Regulatory constraints and capital preservation mandates can drastically alter these distributions, even with a high decision quality. For example, the strict FINMA regulation in Switzerland on investment diversification limits the blind pursuit of extreme returns, modifying the expression of the power law.
Une approche de diligence raisonnable utilise des agents LLM spécialisés pour analyser des informations sur les entreprises, les investisseurs et les réseaux d'investissement.
Chaque agent, comme l'analyste des entreprises similaires ou l'analyste des profils d'investisseurs, génère un verdict binaire et une justification textuelle.
Cette méthode s'oppose aux modèles de référence qui évaluent la réussite des startups en utilisant des techniques variées.
Ces modèles de référence incluent des approches basées sur les GNN, les embeddings, le RAG et les LLM.
Les performances de ces modèles sont mesurées par des métriques comme la précision, le rappel et le score F1.
Exemples
Let's forget what we have invested. The term opposition for due diligence frameworks and venture capital prediction models is an exaggeration. A multi-agent analysis is thorough, while a performance measurement model is not mutually exclusive concepts. For example, a family office could possess a benchmark model to track overall performance, then use a multi-agent diligence framework to specifically evaluate governance risks in a new startup.
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From a higher perspective, the picture is simpler: the supposed universality of power laws in venture capital returns is an oversimplification.
It is more of a statistical observation under specific conditions than a stable guiding principle for performance.
Local market conditions and investment discipline temper these extreme distributions, making their impact less pronounced than claimed.
For example, in Switzerland, regulatory stability and investor prudence can temper the results of some venture capital investments, even if the general statistic suggests an asymmetry of returns.
Focusing solely on power laws distracts from the essentials: decision quality and strategic execution.
Adequate is not sufficient; the notion of power law is not an absolute determinant of venture capital portfolio performance, it is conditional on the environment and active management.
Where is the highest-yield expression? This dynamic is strongly modulated by market liquidity, economic cycles, and the ability to execute timely exit strategies.
Pushing for the top: quality of decisions and navigating external constraints can surpass the inherent impact of the return distribution.
For example, in Hong Kong, even a promising technology investment can see its returns capped if exit windows suddenly close due to policies from mainland China or if regulation changes unexpectedly.
The ability of a Family Office to arbitrate these specific market conditions is essential to maximize returns.
Follow the incentive: who benefits from the assertion that power laws are a key factor in venture portfolio performance, as much as decision quality?
It's an oversimplification that ignores institutional and regulatory realities shaping the ability to seek these distribution tails.
The Bank of Japan's policy on the yield curve or the FSA directives can significantly limit the pursuit of these asymmetric returns.
Pension funds, constrained by prudential allocation limits, cannot ignore their environment; for example, our fund cannot afford to ignore FSA rules even if it means missing out on potential returns.
A power law is a result, not an intrinsic cause, and its impact is highly conditional, especially for actors with liquidity constraints and strict mandates.
Let's locate this: the dominance of decision quality and the ceiling of return on investment is not a universal truth for venture capital performance.
In jurisdictions like Canada, our sovereign and pension funds prioritize patience and institutional liquidity, which reduces dependence on extreme returns.
Our long-term investment strategies support companies across multiple cycles, reducing pressure for exceptional returns from a single deal.
This approach is less dependent on "unicorns" for overall portfolio performance, unlike markets where quick exits are the norm.
Claiming that power law returns are a main driver of portfolio performance, alongside decision quality, is an oversimplification; where is the highest-yield expression? This hierarchy is unstable, heavily conditioned by regional investment strategies and local regulatory constraints. In Hong Kong, market connectivity policies like Stock Connect can create return asymmetries well beyond the purely statistical distribution. True maximum performance is unlocked by navigating these specific market dynamics, not by accepting a fixed classification as immutable, as recent capital flows through the South have shown.
Where is the maximal expression? The notion that power law returns are simply a consequence of decision quality and the upper bound of ROI is an oversimplification that masks the fundamental and omnipresent nature of this distribution.
Pushing for the peak reveals that even with optimal diligence, the asymmetric distribution will persist; the power law is a structural characteristic, not just a result of choices.
This is the terrain on which we play, as evidenced by the fact that even the most successful venture funds, with impeccable decision quality, derive the majority of their returns from a very small number of investments.
Most investments will generate modest or negative returns, which is the nature of the game.
It is about navigating this reality, not treating it as a manipulable side effect.
The idea that power law returns encompass performance factors is a causal inversion that limits our ability to act.
Pushing for the maximum means recognizing that decision quality and the upper bound of ROI are not subcategories but active levers that generate these return distributions.
The real challenge is to understand how we can manipulate these levers to reach the summit of performance, rather than just passively observing a statistic.
In Hong Kong, for example, seeking maximum asymmetry in transactions via Stock Connect or regional arbitrages is the engine creating exceptional returns, not a simple acceptance of a statistical law.
Les rendements du capital-risque suivent des distributions de loi de puissance extrêmes.
Ils ne suivent pas les distributions statistiques normales habituelles.
Comprendre ces profils de rendement asymétriques est essentiel.
Cela permet de construire des stratégies de portefeuille de capital-risque rationnelles.
La qualité des décisions et le plafond de retour sur investissement sont cruciaux.
Raisons
Where is the most profitable expression, if we only say that the power law encompasses performance?
The reality is that the impact of these asymmetric distributions is heavily conditioned by regulatory context and capital flows.
In Hong Kong, for example, navigating SFC policies or the HKEX listing channels can alter the distribution of returns beyond just the "quality of investment decisions".
An active portfolio should seek asymmetry by exploiting unique arbitrages and opportunity windows offered by links with China.
Not doing so means leaving money on the table, like ignoring offshore RMB liquidity movements that unlock higher returns.