Why Annual Sharpe Ratios Cannot Usually Be Combined Directly
Article Quant Q&A · Author: LangeHaare
Summary
The document asks whether annualized Sharpe ratios for separate years are enough to calculate a Sharpe ratio across the full period. It explains that, in general, they are not: the ratios alone do not specify the return means, volatilities, or dependence needed to aggregate returns and risk. A simplified example with independent log returns and zero risk-free rate shows that the overall ratio depends on the component means as well as their individual ratios.
Key ideas
- Annual Sharpe ratios alone generally do not determine the Sharpe ratio for the combined period.
- Aggregation depends on the return and volatility contributions of each subperiod.
- Under equal annual volatility and relatively well-behaved returns, the average of yearly ratios may be a rough approximation.
- Even with independent log returns and a zero risk-free rate, the component ratios alone are insufficient.
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Full text
# If you have the (annualised) Sharpe ratios for some individual years, can you get the overall Sharpe ratio?
# If you have the (annualised) Sharpe ratios for some individual years, can you get the overall Sharpe ratio?
Suppose someone is doing some daily trading and tells you their annualised sharpe ratios for the following years:
```
2004: 0.7
2005: 1.2
2006: 1.1
2007: -0.2
```
Is it possible to get the annualised Sharpe ratio for the period 2004-2007? And if so, how?
## Answer by Chris Taylor (score 2)
https://quant.stackexchange.com/a/35489
No, in general you can't combine Sharpe ratios in this way.
In the special case that the volatility is the same in each year, and the returns aren't too pathological, then the aggregate Sharpe ratio will be close to the average of the Sharpe ratios for each year, i.e. in your case it would be (0.7 + 1.2 + 1.1 - 0.2) / 4 = 0.7.
## Answer by Quantuple (score 2)
https://quant.stackexchange.com/a/35510
Consider the simplest case possible: 2 periods with independent log-returns and zero risk-free rate.
You can then write that the log-return over the full period $x$ is the sum of the individual log-returns over each sub-period: $x = x_1+x_2$. Also, the overall sharpe ratio is by definition $$ s = \frac{\Bbb{E}[x]}{\sqrt{\text{Var}[x]}} $$ Under our assumptions it can further be expressed as $$s = \frac{\mu_1+\mu_2}{\sqrt{\sigma_1^2+\sigma_2^2}} = \frac{\mu_1+\mu_2}{\sqrt{s_1^2 \mu_1^2 + s_2^2\mu_2^2}}$$ showing that, even in the simplest case possible, you cannot compute $s$ from the sole knowledge of the individual Sharpe ratios $s_1$ and $s_2$.Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.