Correlation Between Vanguard Long and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both Vanguard Long and Federated Hermes 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 Vanguard Long and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard Long Term Corporate and Federated Hermes ETF, you can compare the effects of market volatilities on Vanguard Long and Federated Hermes 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 Vanguard Long with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard Long and Federated Hermes.
Diversification Opportunities for Vanguard Long and Federated Hermes
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Vanguard and Federated is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard Long Term Corporate and Federated Hermes ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Hermes ETF and Vanguard Long 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 Vanguard Long Term Corporate are associated (or correlated) with Federated Hermes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Hermes ETF has no effect on the direction of Vanguard Long i.e., Vanguard Long and Federated Hermes go up and down completely randomly.
Pair Corralation between Vanguard Long and Federated Hermes
Given the investment horizon of 90 days Vanguard Long Term Corporate is expected to generate 6.15 times more return on investment than Federated Hermes. However, Vanguard Long is 6.15 times more volatile than Federated Hermes ETF. It trades about 0.14 of its potential returns per unit of risk. Federated Hermes ETF is currently generating about 0.22 per unit of risk. If you would invest 7,721 in Vanguard Long Term Corporate on September 3, 2024 and sell it today you would earn a total of 178.00 from holding Vanguard Long Term Corporate or generate 2.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vanguard Long Term Corporate vs. Federated Hermes ETF
Performance |
Timeline |
Vanguard Long Term |
Federated Hermes ETF |
Vanguard Long and Federated Hermes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard Long and Federated Hermes
The main advantage of trading using opposite Vanguard Long and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard Long position performs unexpectedly, Federated Hermes 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 Federated Hermes will offset losses from the drop in Federated Hermes' long position.Vanguard Long vs. Vanguard Intermediate Term Corporate | Vanguard Long vs. Vanguard Long Term Treasury | Vanguard Long vs. Vanguard Long Term Bond | Vanguard Long vs. Vanguard Short Term Corporate |
Federated Hermes vs. Federated Hermes ETF | Federated Hermes vs. Dimensional ETF Trust | Federated Hermes vs. American Century ETF | Federated Hermes vs. BNY Mellon ETF |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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