Correlation Between IPath Series and SPDR Portfolio
Can any of the company-specific risk be diversified away by investing in both IPath Series and SPDR Portfolio at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining IPath Series and SPDR Portfolio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Series B and SPDR Portfolio TIPS, you can compare the effects of market volatilities on IPath Series and SPDR Portfolio and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in IPath Series with a short position of SPDR Portfolio. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and SPDR Portfolio.
Diversification Opportunities for IPath Series and SPDR Portfolio
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between IPath and SPDR is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and SPDR Portfolio TIPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Portfolio TIPS and IPath Series is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on iPath Series B are associated (or correlated) with SPDR Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Portfolio TIPS has no effect on the direction of IPath Series i.e., IPath Series and SPDR Portfolio go up and down completely randomly.
Pair Corralation between IPath Series and SPDR Portfolio
Considering the 90-day investment horizon iPath Series B is expected to under-perform the SPDR Portfolio. In addition to that, IPath Series is 14.73 times more volatile than SPDR Portfolio TIPS. It trades about -0.04 of its total potential returns per unit of risk. SPDR Portfolio TIPS is currently generating about 0.18 per unit of volatility. If you would invest 2,578 in SPDR Portfolio TIPS on July 19, 2025 and sell it today you would earn a total of 68.00 from holding SPDR Portfolio TIPS or generate 2.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Series B vs. SPDR Portfolio TIPS
Performance |
Timeline |
iPath Series B |
SPDR Portfolio TIPS |
IPath Series and SPDR Portfolio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Series and SPDR Portfolio
The main advantage of trading using opposite IPath Series and SPDR Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series position performs unexpectedly, SPDR Portfolio can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SPDR Portfolio will offset losses from the drop in SPDR Portfolio's long position.IPath Series vs. ProShares Ultra VIX | IPath Series vs. ProShares Short VIX | IPath Series vs. ProShares UltraPro Short | IPath Series vs. iShares 20 Year |
SPDR Portfolio vs. SPDR Bloomberg 1 10 | SPDR Portfolio vs. iShares 0 5 Year | SPDR Portfolio vs. Schwab TIPS ETF | SPDR Portfolio vs. PIMCO 15 Year |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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