Correlation Between IPath Series and IPath Series
Can any of the company-specific risk be diversified away by investing in both IPath Series 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 IPath Series and IPath Series 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 iPath Series B, you can compare the effects of market volatilities on IPath Series 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 IPath Series with a short position of IPath Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and IPath Series.
Diversification Opportunities for IPath Series and IPath Series
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IPath and IPath is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B 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 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 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 IPath Series i.e., IPath Series and IPath Series go up and down completely randomly.
Pair Corralation between IPath Series and IPath Series
Considering the 90-day investment horizon iPath Series B is expected to generate 0.4 times more return on investment than IPath Series. However, iPath Series B is 2.52 times less risky than IPath Series. It trades about -0.03 of its potential returns per unit of risk. iPath Series B is currently generating about -0.02 per unit of risk. If you would invest 5,880 in iPath Series B on September 14, 2024 and sell it today you would lose (917.00) from holding iPath Series B or give up 15.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Series B vs. iPath Series B
Performance |
Timeline |
iPath Series B |
iPath Series B |
IPath Series and IPath Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Series and IPath Series
The main advantage of trading using opposite IPath Series and IPath Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series 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.IPath Series vs. ProShares VIX Mid Term | IPath Series vs. ProShares VIX Short Term | IPath Series vs. iPath Series B | IPath Series vs. ProShares Short VIX |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Complementary Tools
Stocks Directory Find actively traded stocks across global markets | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios |