What it is:
There are two ways to measure tracking error. The first is to subtract the benchmark's cumulative returns from the portfolio's returns, as follows:
Returnp - Returni = Tracking Error
p = portfolio
i = index or benchmark
However, the second way is more common, which is to calculate the standard deviation of the difference in the the portfolio and benchmark returns over time. The formula is as follows:
How it works (Example):
Let's assume you invest in the XYZ Company Russell 2000 index, both in composition and in returns. If the XYZ Company returns 5.5% in a year but the Russell 2000 (the ) returns 5.0%, then using the first formula above, we would say that the XYZ Company mutual fund had a 0.5% tracking error., which exists to replicate the
As time goes by, there will be more periods during which we can compare returns. This is where the second formula becomes more useful. The consistency (or inconsistency) of the "spreads" between the portfolio's returns and the s returns is what allows analysts to try to predict the portfolio's future performance. If, for example, we knew that the portfolio's annual returns were 0.4% higher than the 67% of the time during the last five years, we would know that this would probably be the case going forward (assuming the portfolio manager made no major changes). The predictive value of these calculations gets even better when there are more data points and when the analyst accounts for how the portfolio's securities move relative to one another (this is called co-variance).
Several factors generally determine a portfolio's tracking error:
1. The degree to which the portfolio and the have securities in common
2. Differences in market capitalization, timing, style, and other fundamental characteristics of the portfolio and the
3. Differences in the weighting of assets between the portfolio and the
4. The management fees, custodial fees, brokerage costs and other expenses affecting the portfolio that don't affect the
5. The volatility of the
6. The portfolio's beta
Further, portfolio managers must accommodate inflows and outflows of cash from investors, which forces them to rebalance their portfolios from time to time. This too involves direct and indirect costs.
Why it Matters:
Low tracking error means a portfolio is closely following its note that some portfolios are allowed more tracking error than others -- this is why investors should understand whether their portfolios are intended to either replicate a , invest in ways that mirror the spirit of the , or merely attempt to statistically recreate the behaviors of the .. High tracking errors indicates the opposite. Thus, tracking error gives investors a sense of how "tight" the portfolio in question is around its or how volatile the portfolio is relative to its . It is important to
Although some investors may be happy that the portfolio in our example outperformed the fund's investors want, and this is why tracking error is in some ways a measure of excess risk., the tracking error actually suggests that the took on greater risk. This is not always what the
Although the will also evaluate the tracking errors of other portfolios with the same objective.represents a feasible alternative to the portfolio in question, calculating tracking error does not the wise investor must limit comparison to just the ; he or she
Ultimately, tracking error is an indicator of a manager's skill and a reflection of how actively or passively a portfolio is managed. Actively managed portfolios seek to provide above-returns, and they generally require added risk and expertise to do so. In these cases, the investor seeks to maximize tracking error. On the other hand, passively managed portfolios seek to replicate returns, and so a large tracking error is generally considered undesirable for these investors. This is why tracking error can be used to set acceptable performance ranges for portfolio managers.