Minimum Variance Hedging

Minimum Variance Hedging is a statistical approach used to find the hedge ratio that minimizes the variance of a hedged portfolio's returns. Unlike simple hedging, which aims for a 1:1 ratio, this method uses the correlation coefficient and the standard deviations of the two assets to calculate the optimal hedge.

By minimizing variance, the trader reduces the risk of large fluctuations in the portfolio value, creating a more stable return profile. This is particularly useful in crypto, where assets often exhibit varying degrees of correlation that change over time.

The model requires historical data to estimate these parameters, making it a quantitative exercise in risk reduction. It is a powerful tool for portfolio managers who want to maximize the effectiveness of their hedging programs while minimizing the capital tied up in derivative positions.

This approach acknowledges that a perfect hedge is rarely possible and instead focuses on achieving the best statistical outcome.