Correlation Between Tema ETF and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both Tema ETF 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 Tema ETF and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tema ETF Trust and Federated Hermes ETF, you can compare the effects of market volatilities on Tema ETF 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 Tema ETF with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tema ETF and Federated Hermes.
Diversification Opportunities for Tema ETF and Federated Hermes
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tema and Federated is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Tema ETF Trust 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 Tema ETF 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 Tema ETF Trust 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 Tema ETF i.e., Tema ETF and Federated Hermes go up and down completely randomly.
Pair Corralation between Tema ETF and Federated Hermes
Considering the 90-day investment horizon Tema ETF Trust is expected to under-perform the Federated Hermes. In addition to that, Tema ETF is 5.51 times more volatile than Federated Hermes ETF. It trades about -0.03 of its total potential returns per unit of risk. Federated Hermes ETF is currently generating about 0.14 per unit of volatility. If you would invest 2,305 in Federated Hermes ETF on September 1, 2024 and sell it today you would earn a total of 12.00 from holding Federated Hermes ETF or generate 0.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Tema ETF Trust vs. Federated Hermes ETF
Performance |
Timeline |
Tema ETF Trust |
Federated Hermes ETF |
Tema ETF and Federated Hermes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tema ETF and Federated Hermes
The main advantage of trading using opposite Tema ETF and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tema ETF 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.Tema ETF vs. Smith Nephew SNATS | Tema ETF vs. Fresenius Medical Care | Tema ETF vs. Fomento Economico Mexicano | Tema ETF vs. The Cooper Companies, |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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