1
Benchmark fit
Use an investable reference that matches the strategy universe and opportunity set.
Lesson · Backtesting and Trading Systems
Benchmarking and Risk-Adjusted Performance
Compare the system with an appropriate benchmark and cash rate, then separate market exposure from independent performance and risk taken.
Core concepts
What to understand
Keep each definition operational so it can be implemented and tested.
2
Risk adjustment
Compare return with volatility, drawdown, downside risk, and exposure.
3
Active return
Measure the difference between the strategy and benchmark through the same dates.
Interactive lab
Benchmark and Risk-Adjusted Performance Lab
Change market regime, market sensitivity, independent return, and volatility. Compare strategy and benchmark behavior.
Benchmark and Risk-Adjusted Performance Lab
Deterministic synthetic educational data · no live market connection
BACKTEST MODEL
Process
Compare like with like
Dates, currency, reinvestment, and costs must be aligned.
Select
Choose a benchmark that represents the available alternative.
Normalize
Use the same dates, capital base, and return frequency.
Decompose
Review active return, market sensitivity, risk, and drawdown.
Knowledge check
Check your understanding
Select one answer for each question. Feedback appears immediately.
1. A strategy outperforming cash in a bull market proves:
The relevant benchmark may have risen more with similar or lower risk.
2. Risk-adjusted comparison considers:
Return must be evaluated with volatility, drawdown, and exposure.
3. An appropriate benchmark should match:
Benchmark selection should be defined before judging performance.
4. A strategy with a market sensitivity of 1.5 returns +1.9% in a year the benchmark returns +6.7%. Its independent return is:
Exposure = 1.5 × 6.7% = 10.0%; independent = 1.9% − 10.0% = −8.1%. The lab prints this decomposition beside its ratio.
Practical rules
- Define the benchmark before testing.
- Align dates, reinvestment, and costs.
- Report absolute and benchmark-relative results.
Common mistakes
- Using cash as the only benchmark for an equity strategy.
- Calling leveraged beta independent edge.
- Switching benchmarks after seeing performance.
References
Official reading
The labs are simplified simulations. These sources cover historical performance, data, costs, or execution limitations.
FINRA · Smart Beta—What You Need to Know
Explains that historical backtesting is hypothetical and does not predict future performance.
FINRA Rule 2210 · Communications with the Public
Includes restrictions on performance projections and misleading performance claims.