How Asset Weights Actually Drive Portfolio Performance

In crypto portfolios, snapshots are all we see, not continuous prices. But how do you know which asset really contributed to performance?

Most models get it wrong. Using ending-period weights can introduce lookahead bias, giving a false picture of the contribution.

Our research shows a better way:
-> Align weights with return intervals

-> Lag weights to preserve causality

-> Measure the true economic impact of each asset

This isn’t just theory, it’s a structural framework for attribution that works even with discrete data, volatility, and rapidly changing portfolios.

💡 For traders, fund managers, and automated strategies: knowing which assets drive performance is the difference between insight and guesswork.