Step 12
Level: intermediate
Tracking Error measures the degree to which the portfolio deviates from the benchmark, while Information Ratio measures the return beyond the benchmark per unit of that deviation. If measured incorrectly, investors can easily reward lucky decisions and punish correct decisions but encounter an unfavorable environment.
High Tracking Error means the portfolio is more different from the benchmark, which can create alpha opportunities but also increase the risk of underperformance. Information Ratio helps evaluate the quality of proactive decisions: for the same level of active return, strategies with lower tracking error are often more effective. A single return number is not enough to conclude whether a strategy is good or bad.
By knowing where the returns came from, what risks were taken, and whether the results exceeded the benchmark, investors can improve the process instead of just reacting to the final result.
Tracking Error measures the degree to which the portfolio deviates from the benchmark, while Information Ratio measures the return beyond the benchmark per unit of that deviation.
Measuring performance is not just about showing off results. The goal is to understand whether the strategy worked as expected, whether the risk was worth it, and whether the results came from skill, environment, or luck. A portfolio with high returns but too much risk may not be as good as a more stable portfolio with lower returns and suitable for your goals.
High Tracking Error means the portfolio is more different from the benchmark, which can create alpha opportunities but also increase the risk of underperformance. Information Ratio helps evaluate the quality of proactive decisions: for the same level of active return, strategies with lower tracking error are often more effective.
A performance metric always has a range of uses. CAGR does not indicate drawdown. Sharpe does not see all tail risks. The wrong benchmark leads to wrong conclusions. Attribution requires sufficiently good data. So use multiple complementary metrics instead of finding a single number to represent the entire quality of an investment.
If investing actively, measure how much you are deviating from the benchmark and whether that deviation is compensated by superior returns.
During each review period, record the absolute return, return relative to the benchmark, drawdown, volatility and main drivers of performance. This helps you distinguish strategic issues from short-term noise, and detect early when the portfolio deviates from its original goals.
Accepting large benchmark deviations without understanding the source of the deviation and without earning better performance.
A common mistake is to measure results in the way that is most favorable to the story you want to believe. Serious investors need to accept consistent metrics, appropriate benchmarks, and long enough data. Good measurement does not make the results better, but it makes the lessons clearer.
Volatility of return difference between portfolio and benchmark.
Active return chia cho tracking error.
Portfolio return minus benchmark return.
There are measures of absolute returns, risk-adjusted returns, benchmark-relative returns, drawdowns, and return attribution.
Some metrics are used to compare strategies, some are used to understand investor experience, some are used to check risk.
Performance metrics depend on data quality, measurement period length, and benchmark suitability.
Application in performance measurement
A portfolio that exceeds the benchmark by 2 percent with a tracking error of 2 percent has a better IR than a portfolio that exceeds the benchmark by 2 percent but has a tracking error of 8 percent.
Risk performance analysis
Accepting large benchmark deviations without understanding the source of the deviation and without earning better performance. This causes investors to draw the wrong lesson and can increase risks in the next cycle.
Changing the start or end date for better results compromises the integrity of the review.
Inappropriate benchmarking makes a portfolio appear better or worse than it actually is.
Accepting large benchmark deviations without understanding the source of the deviation and without earning better performance. Returns are only meaningful when accompanied by volatility, drawdown, liquidity and targets.
Exercise 1 - reflection
Get portfolio results for the most recent 12 months and analyze from the perspective of tracking error & information ratio.
Exercise 2 - case_study
A portfolio that exceeds the benchmark by 2 percent with a tracking error of 2 percent has a better IR than a portfolio that exceeds the benchmark by 2 percent but has a tracking error of 8 percent. Identify the correct conclusion, the likely wrong conclusion, and the additional data needed.
Exercise 3 - action_plan
Create a performance review sheet of 5 metrics you will track each quarter.