Tracking Error - Importance, How To Calculate and Limitations - Glossary by Tickertape (2024)

Investors use various tools to measure risk and return from investment vehicles. Tracking error is the difference between how a portfolio performs compared to a benchmark. It’s expressed as a percentage, representing the standard deviation of this difference. Investors use tracking error to assess how well an investment matches the benchmark’s return, serving as a measure of consistency over time in relation to the benchmark.

To know more about tracking error and how it is calculated, read further.

You will Learn About:

What is a tracking error?

Tracking error is a measure of the difference between an investment portfolio’s returns and the benchmark index it was meant to beat. Tracking error is also described as a standard deviation percentage gap that reports the difference between the returns an investor gains and the benchmark they were planning to surpass.

In a perfect world, it would be preferable if the tracking error or active risk was low or moderate. If this number is high, regardless of performance, it indicates that the portfolio manager has taken a higher-than-appropriate risk.

Tracking error is mainly associated with passive investment vehicles. It helps to gauge the performance of mutual funds, hedge funds, or Exchange-traded Funds (ETFs).

Tracking Error – Important Points To Note

  • Tracking error can be defined as the difference between an investment portfolio’s returns and the index it mimics.
  • Tracking error is a handy measurement of how well a fund is being managed, the potential risks for investors, and the performance of portfolio managers.
  • The higher the tracking error, the more the portfolio manager diverges from the benchmark. The lower the tracking error, the closer the portfolio manager follows the benchmark.

Factors that affect tracking error

There are factors that determine a portfolio’s tracking error; some of which include:

  • Number of stocks in the portfolio
  • Differences in market capitalisation, investment style, timing, and other characteristics of the portfolio
  • Change of index constituents
  • Corporate actions
  • Market volatility
  • The management fees, brokerage costs, custodial fees, and other expenses affecting the investment portfolio that don’t affect the benchmark
  • The portfolio’s beta

Importance of tracking error

Tracking error is crucial for assessing a portfolio’s performance and the ability of a fund manager to garner excessive returns and outdo the benchmark. Additionally, this is why tracking error is important:

  • Tracking error helps measure and compare a portfolio’s performance with the respective index or benchmark.
  • It helps to recognise the consistency of higher returns.
  • Portfolio managers leverage tracking errors to determine how close an investment portfolio is to its benchmark.
  • With the help of tracking errors, investors get a chance to ascertain how reliable a fund manager’s investment strategy is.

Ultimately, tracking error is a strong indicator of a portfolio manager’s proficiency and a reflection of how well the portfolio is managed.

For instance, actively managed portfolios carry high risk. On the other hand, passively managed portfolios replicate index funds, and thus a large tracking error is considered unpleasant for such investors. Hence, tracking errors can be leveraged as a tool to set acceptable performance benchmarks for fund managers.

You can also use Tickertape’s Mutual Fund Screener to analyse the performance of a fund. There are more than 50+ filters that help you to determine the best fund.

How to calculate tracking error?

There are various ways to measure tracking errors. The first method involves subtracting the benchmark’s cumulate returns from the portfolio’s returns. The tracking error formula for this method is:

Tracking error = Return(p) – Return(i)

Where;

p = portfolio

i = index or benchmark

Let’s understand the concept of tracking error with the help of an example. Let’s say that ABC Fund is supposed to track Sensex. The previous year, the Sensex returned 10%, while the ABC Fund returned 9.7%. The difference between the two: 9.7% – 10% = -0.3% is the tracking error.

The second method, on the other hand, is way more common and offers a more accurate calculation, which includes calculating the standard deviation of the difference in the portfolio, as well as benchmarks returns, over time. Here’s how to calculate tracking error using the second method:

Tracking Error - Importance, How To Calculate and Limitations - Glossary by Tickertape (1)

Here, TE = Tracking error

Rp = Return of portfolio

Rb = Return of benchmark

N = Number of return periods

In this case, let’s assume the following returns for the ABC Fund and Sensex:

  • Sensex (10%, 5%, 7%, 2%, 8%)
  • ABC Fund (9.7%, 4.6%, 7.2%, 2.2%, 7.8%)

But how do we locate the tracking error on the basis of this information?

First, we calculate the simple tracking error of every period by subtracting Sensex’s performance from ABC Fund’s performance. These are the values we will attain (-0.3%, -0.4%, 0.2%, 0.2%, -0.2%). We then square each value (0.09%, 0.16%, 0.04%, 0.04%, 0.04%). Then, we do a total of these five values, which rounds up to 0.37%. The next step is to divide the sum by N – 1 or (5-1) = 0.0925%.

Lastly, we do the square root of 0.0925% to identify the tracking error, which comes to 0.304% in this case.

You can also use Tickertape to find the tracking error of a fund. Launch the Mutual Fund Screener and search for ‘Tracking Error’ in ‘Add Filter’.

What are some of the limitations of tracking error?

Typically, investors may accept high tracking errors if a fund’s performance is excellent. However, the same may not be true if returns are low. In that sense, viewing tracking errors in isolation can misguide an investor because, at the end of the day, several factors need to be considered when viewing a fund’s performance.

Distinguishing between funds based on tracking error alone may not be wise.

Conclusion

Although rarely given importance, track errors can significantly impact an investor’s returns. Conceptually, if an index fund holds a high tracking error, it defeats the purpose of index investing. So, when choosing an Index fund, go for a fund with a low tracking error. As an investor, you must investigate tracking errors to determine your true returns.

FAQs

What is a good tracking error for index funds?

In an ideal case scenario, an index fund must have a tracking error of zero when comparing performance to its benchmark. But in reality, index funds lean towards the 1%, -2% range.

Is tracking error important?

Yes, tracking error is an important measure as it tells the difference between the performance of a stock mutual fund and its benchmark. With this, tracking error also indicates how well a portfolio manager is handling the portfolio and their ability to generate returns.

Is high tracking error a good sign?

No, high tracking errors are not ideal. The higher the tracking error, the more the fund manager deviates from the benchmark. The lower it is, the closer the fund manager is to following the benchmark. This is true in case of index funds while an active portfolio having a low tracking error is an issue as the investor will end up paying higher fees, usually associated with active management, and get the returns of an index which isn’t ideal. Rather than a straight no, a more apt answer would be based on the investors context.

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Authored By:

Nikitha

I'm a Senior Content Writer at Tickertape. With over 5 years of experience in the financial industry and insatiable curiosity, I bring complex financial topics to life in a way anyone can understand. My passion for educating others shines through in my approachable writing style.

Pranay Khandelwal

Pranay is a BMS Graduate from KC College who has cleared all 3 levels of the CFA exam and is currently working as an Equity Research Associate at Alpha Invesco.

Tracking Error - Importance, How To Calculate and Limitations - Glossary by Tickertape (2024)

FAQs

What is the tracking error on a ticker tape? ›

Tracking error is a measure of the difference between an investment portfolio's returns and the benchmark index it was meant to beat. Tracking error is also described as a standard deviation percentage gap that reports the difference between the returns an investor gains and the benchmark they were planning to surpass.

What is tracking error and how is it calculated? ›

Tracking error is the standard deviation of the difference between the returns of an investment and its benchmark. Given a sequence of returns for an investment or portfolio and its benchmark, tracking error is calculated as follows: Tracking Error = Standard Deviation of (P - B)

Why is tracking error important? ›

In the long term, tracking error can be used to evaluate how consistently an index fund manager is meeting benchmark returns over time. So, while a low expense ratio is important, a lower tracking error suggests a reduced likelihood of incurring costs from volatile performance, no matter your investment horizon.

What is the tracking error limit? ›

Tracking error measures how well an investment portfolio follows its benchmark index. To calculate it, subtract the benchmark's return from the portfolio's. For example, if the portfolio earns 8% and the benchmark earns 7%, the tracking error is 1%. It indicates how much the portfolio deviates from the benchmark.

What is a good tracking error number? ›

The acceptable level of tracking error is determined by each investor. Tracking error is neither good, nor bad. The performance of a portfolio with a 1.0 tracking error to its benchmark can be either higher or lower than the performance of the benchmark.

What are the factors affecting tracking error? ›

Here are some of the other factors that influence tracking error: Portfolio size. Variations in market capitalization, investment approach, timing, and other portfolio features. Alterations in index constituents.

What are the determinants of tracking error? ›

Several factors affect the level of tracking error. The major factors include: Number of stocks in the portfolio. Portfolio market capitalization and style difference relative to the benchmark.

What is the difference between VaR and tracking error? ›

Tracking Error

It is defined as the standard deviation of the excess return, that is, the difference between the return on a portfolio and the return on its benchmark. Unlike VaR, which is usually measured for shorter periods, tracking error is typically meas- ured in terms of monthly returns.

What is the formula for tracking error contribution? ›

The simple way to calculate tracking error is to take the fund's performance and subtract the benchmark index performance. If a benchmark index generated a 15% return last year and a fund that tracks that index generated a 13.7% return, the tracking error would be -1.3% (13.7% - 15%).

How to reduce tracking error? ›

To reduce tracking error, portfolio managers aim to invest cash flows at valuations similar to those used by the benchmark index provider. When that's not possible, they strive to maintain a beta of 1.0 relative to the benchmark index while aligning other risk factor exposures with the index.

How do you calculate tracking error in information ratio? ›

To calculate IR, subtract the total of the portfolio return for a given period from the total return of the tracked benchmark index. Divide the result by the tracking error. The tracking error can be calculated by taking the standard deviation of the difference between the portfolio returns and the index returns.

Is tracking error a measure of risk? ›

In finance, tracking error or active risk is a measure of the risk in an investment portfolio that is due to active management decisions made by the portfolio manager; it indicates how closely a portfolio follows the index to which it is benchmarked.

What is the difference between tracking error and standard error? ›

Standard Deviation tells you the absolute amount up and down, whereas Tracking Error tells you how different the fund is from the index. If the index is up 20% and a fund is up 30%, that's pretty different, as opposed to another fund maybe that's up 21% that would have a lower Tracking Error.

What is the tracking error constraint? ›

The tracking error constraint is an optional quadratic constraint that enforces an upper bound on tracking error, which is the relative risk between a portfolio and a designated tracking portfolio.

What does a tracking error of 1 mean? ›

If a portfolio has a tracking error of 1% to that benchmark, one would expect that 68% of the time the portfolio's return would fall within the range of 10% +/- 1%, or 9% to 11%. It is important to note that tracking error is not a percentage of the benchmark's return (i.e., not 1% of 10%, or 0.10%).

What is a good tracking error for an index fund? ›

A difference of 5-20 basis points (1 basis point = 0.01%) in the tracking error from mid cap and large cap category should not be a deal breaker. However, while selecting a small cap index fund, you can use tracking error as one of the factors to select a good fund. You may go with a fund with a lower tracking error.

What do you mean by error tracking? ›

Error tracking is the proactive process of monitoring web applications or microservices to identify problems and fix them before they become serious issues. Usually, error tracking reports will monitor your applications for any deviation from benchmark activity levels.

How safe is ticker tape? ›

How safe is Tickertape? It is an Indian financial analytics platform that complies with industry data security and privacy standards. However, like any online platform, it's essential to exercise due diligence and caution while using it.

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