Expected Return Estimation

Expected Return Estimation is the process of forecasting the future profitability of an asset based on historical data, fundamental analysis, and market sentiment. In the crypto space, this is notoriously difficult due to the absence of traditional cash flows for many assets and the influence of speculative trading.

Quantitative models often use moving averages, mean reversion signals, or network growth metrics to project returns. For derivative traders, this estimation is necessary to determine if the cost of an option or the premium on a future is justified by the expected payoff.

Inaccurate estimations can lead to mispriced trades and capital erosion. Sophisticated models now incorporate machine learning to better handle the non-linear dynamics of crypto price discovery.