Correlation Between ETRACS Monthly and IPath Series
Can any of the company-specific risk be diversified away by investing in both ETRACS Monthly and IPath Series 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 ETRACS Monthly and IPath Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETRACS Monthly Pay and iPath Series B, you can compare the effects of market volatilities on ETRACS Monthly and IPath Series 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 ETRACS Monthly with a short position of IPath Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETRACS Monthly and IPath Series.
Diversification Opportunities for ETRACS Monthly and IPath Series
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ETRACS and IPath is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding ETRACS Monthly Pay and iPath Series B in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iPath Series B and ETRACS Monthly 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 ETRACS Monthly Pay are associated (or correlated) with IPath Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iPath Series B has no effect on the direction of ETRACS Monthly i.e., ETRACS Monthly and IPath Series go up and down completely randomly.
Pair Corralation between ETRACS Monthly and IPath Series
Given the investment horizon of 90 days ETRACS Monthly Pay is expected to under-perform the IPath Series. But the etf apears to be less risky and, when comparing its historical volatility, ETRACS Monthly Pay is 5.87 times less risky than IPath Series. The etf trades about -0.04 of its potential returns per unit of risk. The iPath Series B is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 4,361 in iPath Series B on September 27, 2024 and sell it today you would lose (84.00) from holding iPath Series B or give up 1.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
ETRACS Monthly Pay vs. iPath Series B
Performance |
Timeline |
ETRACS Monthly Pay |
iPath Series B |
ETRACS Monthly and IPath Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ETRACS Monthly and IPath Series
The main advantage of trading using opposite ETRACS Monthly and IPath Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETRACS Monthly position performs unexpectedly, IPath Series 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 IPath Series will offset losses from the drop in IPath Series' long position.ETRACS Monthly vs. ETRACS Quarterly Pay | ETRACS Monthly vs. Simplify Volatility Premium | ETRACS Monthly vs. ETRACS Monthly Pay | ETRACS Monthly vs. iShares Trust |
IPath Series vs. ProShares Ultra VIX | IPath Series vs. ProShares Short VIX | IPath Series vs. ProShares UltraPro Short | IPath Series vs. iShares 20 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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