Sara Nguyen

Isn't there a systemic risk in relying solely on one method to establish benchmarks? Even if Monte Carlo simulations provide a solid basis, the absence of an exhaustive sectoral database for emerging markets could bias the random distributions. It is essential to include non-parametric distributions based on real data when simulated data are too sensitive to initial assumptions, as this offers protection against specification errors.

The simple notion that power law returns encompass venture capital performance is an oversimplification.
These laws describe an outcome, not the controllable mechanisms that produce or modify it.
Market and regulatory context, such as the tax incentives of MAS in Singapore, directly modulate the distribution of returns.
Ignoring these modulators amounts to neglecting the discipline needed to navigate volatility.
The relevance of factors like decision quality remains paramount, regardless of broader distribution patterns.