Correlation Between GM and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Federated Hermes ETF, you can compare the effects of market volatilities on GM 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 GM with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Federated Hermes.
Diversification Opportunities for GM and Federated Hermes
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Federated is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding General Motors 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 GM 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 General Motors 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 GM i.e., GM and Federated Hermes go up and down completely randomly.
Pair Corralation between GM and Federated Hermes
Allowing for the 90-day total investment horizon General Motors is expected to generate 17.1 times more return on investment than Federated Hermes. However, GM is 17.1 times more volatile than Federated Hermes ETF. It trades about 0.17 of its potential returns per unit of risk. Federated Hermes ETF is currently generating about 0.14 per unit of risk. If you would invest 5,076 in General Motors on September 1, 2024 and sell it today you would earn a total of 483.00 from holding General Motors or generate 9.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.45% |
| Values | Daily Returns |
General Motors vs. Federated Hermes ETF
Performance |
| Timeline |
| General Motors |
| Federated Hermes ETF |
GM and Federated Hermes Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Federated Hermes
The main advantage of trading using opposite GM and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and Federated Hermes ETF pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Federated Hermes vs. Federated Hermes ETF | Federated Hermes vs. American Century ETF | Federated Hermes vs. Dimensional ETF Trust | Federated Hermes vs. Dimensional ETF Trust |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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