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Risk

Sortino Ratio

Menno van Ravels - Alpha Factory

By - 13 years in crypto, 3 bear markets survived, zero paid promotions

AI Quick Summary: Sortino Ratio Summary

Term

Sortino Ratio

Category

Risk

Definition

The Sortino ratio improves on the Sharpe ratio by only penalizing downside volatility — returns below a target threshold — rather than all volatility.

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The Sortino ratio improves on the Sharpe ratio by only penalizing downside volatility — returns below a target threshold — rather than all volatility. It gives a fairer picture of risk-adjusted performance for strategies or assets that have frequent large gains.

The Sortino ratio was developed by Frank Sortino as a response to the Sharpe ratio's key flaw: penalizing upside volatility the same as downside volatility. In investing, you want volatility to the upside — it is only downside moves that cause financial and psychological harm.

**Formula:** Sortino = (Rp - T) / DD Where Rp is portfolio return, T is the target minimum acceptable return (MAR, often 0% or the risk-free rate), and DD is the downside deviation — the standard deviation of returns that fall below T.

**Downside deviation calculation:** 1. Identify all return periods where return < T (target) 2. Square the difference between each return and T 3. Average these squared differences 4. Take the square root Only negative-relative returns contribute to the denominator. Large positive returns do not inflate the denominator and reduce the ratio.

**Sortino vs. Sharpe in crypto:** Because Bitcoin and altcoins have positively skewed return distributions during bull markets (many moderate days, occasional massive gains), the Sortino ratio often looks significantly better than the Sharpe ratio for crypto assets. A coin that goes up 30% one month and down 5% the next has high Sharpe-penalizing volatility but excellent Sortino characteristics.

**Interpreting Sortino ratios:** - Below 1.0: Downside risk not justified by return - 1.0–2.0: Acceptable risk-adjusted performance - Above 2.0: Good downside-adjusted performance - Above 3.0: Excellent; rare and worth investigating for data quality

**When to prefer Sortino over Sharpe:** - Momentum strategies (frequent positive outliers) - Trend-following systems - Bull-market-only backtests - Any strategy where you suspect asymmetric return distribution

The Sortino ratio is particularly useful when evaluating DeFi yield strategies that have steady positive returns with occasional sharp downside events (smart contract exploits, depeg events), rather than symmetric volatility.

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Frequently Asked Questions

What is the difference between Sharpe ratio and Sortino ratio?

Sharpe penalizes all volatility (up and down) equally in the denominator. Sortino only penalizes downside deviation — returns below a minimum acceptable threshold. For assets with frequent large gains and occasional losses (like BTC in bull markets), Sortino gives a higher, more favorable reading. Sortino is generally considered a more appropriate measure for asymmetric return profiles.

What target return should I use for the Sortino ratio?

Most commonly, use 0% (any loss is unacceptable) or the risk-free rate (currently 4–5% for USD strategies). Some traders use their personal required return (e.g., 20% annual). Using 0% gives the most conservative measure; using the risk-free rate benchmarks against an opportunity cost baseline.

Can a strategy have a high Sortino but low Sharpe ratio?

Yes — this typically means the strategy has significant upside volatility (big winning periods) but limited downside. A crypto momentum strategy in a bull market might have a Sortino of 3.0 but a Sharpe of 1.5 because the large winning months inflate Sharpe's denominator but not Sortino's. This is actually desirable — it indicates the volatility is predominantly to the upside.

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