This pattern of the currency - neutral fund exhibiting
significant tracking error can also be observed in the TD e-Series index funds.
With single factor products there, you should have a pretty
significant tracking error.
I'm going to post XIN's performance in the near future but I found that XIN also showed
a significant tracking error.
Is there something inherent about the makeup of the GLD ETF that would make it susceptible to
significant tracking error of the physical metal price?
This is especially true if the ETF in question has
a significant tracking error.
In fact, EEM has
a significant tracking error as you can see in the table below (negative tracking error means ETF returns were higher than the index):
Therefore investors can expect HXS to display
significant tracking errors to the S&P 500 Index (in US$ terms) due to low correlation between equities and currencies.
Not exact matches
Keeping of a diet diary has proven useful in
tracking significant improvement of symptoms with a histamine - free diet and relapses in histamine intolerance after dietary
errors.
Incorrectly
tracking students due to
significant errors caused by low testing precision and low testing accuracy.
But if you take a slightly longer term view and consider the fact that XSP has trailed IVV returns in US dollars every year for the past five years, you'll find that XSP's outperformance is significantly eroded by the
tracking error even with a
significant appreciation in the Canadian dollar.
Tracking error could be
significant.
There is a
significant error in your
tracking system.
This
tracking error is relatively small but it can make a
significant difference in realized gains / losses.
Admittedly, it's not the case that every action exactly causes an equal and opposite reaction, but it is the case that the expense ratio is the dominant variable that explains excess return and that active share is one of the statistically
significant variables that explains
tracking error.
The authors observe, however, that due to large
tracking errors the t - stats of the differences in excess return are not statistically
significant.
Errors in how much you choose to stock and in how you
track and price products could cost you a
significant amount of money.
Since becoming operational in 1995, the GFDL hurricane model has played a major role in improving hurricane prediction, resulting in a
significant reduction in
track forecast
error.