Correlation Between Federated Strategic and Federated Hermes

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Federated Strategic 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 Federated Strategic and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Strategic Value and Federated Hermes Sdg, you can compare the effects of market volatilities on Federated Strategic 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 Federated Strategic with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Strategic and Federated Hermes.

Diversification Opportunities for Federated Strategic and Federated Hermes

0.29
  Correlation Coefficient

Modest diversification

The 3 months correlation between Federated and Federated is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Federated Strategic Value and Federated Hermes Sdg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Hermes Sdg and Federated Strategic 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 Federated Strategic Value 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 Sdg has no effect on the direction of Federated Strategic i.e., Federated Strategic and Federated Hermes go up and down completely randomly.

Pair Corralation between Federated Strategic and Federated Hermes

Assuming the 90 days horizon Federated Strategic Value is expected to generate 0.7 times more return on investment than Federated Hermes. However, Federated Strategic Value is 1.42 times less risky than Federated Hermes. It trades about 0.09 of its potential returns per unit of risk. Federated Hermes Sdg is currently generating about 0.05 per unit of risk. If you would invest  619.00  in Federated Strategic Value on August 31, 2024 and sell it today you would earn a total of  20.00  from holding Federated Strategic Value or generate 3.23% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Federated Strategic Value  vs.  Federated Hermes Sdg

 Performance 
       Timeline  
Federated Strategic Value 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Federated Strategic Value are ranked lower than 7 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Federated Strategic is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Federated Hermes Sdg 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Federated Hermes Sdg are ranked lower than 4 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Federated Hermes is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Federated Strategic and Federated Hermes Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Federated Strategic and Federated Hermes

The main advantage of trading using opposite Federated Strategic and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Strategic 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 Federated Strategic Value and Federated Hermes Sdg 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.
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

Other Complementary Tools

Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Volatility Analysis
Get historical volatility and risk analysis based on latest market data