Correlation Between Guggenheim Alpha and Guggenheim Macro

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Can any of the company-specific risk be diversified away by investing in both Guggenheim Alpha and Guggenheim Macro 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 Guggenheim Alpha and Guggenheim Macro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim Alpha Opportunity and Guggenheim Macro Opportunities, you can compare the effects of market volatilities on Guggenheim Alpha and Guggenheim Macro 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 Guggenheim Alpha with a short position of Guggenheim Macro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim Alpha and Guggenheim Macro.

Diversification Opportunities for Guggenheim Alpha and Guggenheim Macro

0.07
  Correlation Coefficient

Significant diversification

The 3 months correlation between Guggenheim and Guggenheim is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim Alpha Opportunity and Guggenheim Macro Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Macro Opp and Guggenheim Alpha 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 Guggenheim Alpha Opportunity are associated (or correlated) with Guggenheim Macro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Macro Opp has no effect on the direction of Guggenheim Alpha i.e., Guggenheim Alpha and Guggenheim Macro go up and down completely randomly.

Pair Corralation between Guggenheim Alpha and Guggenheim Macro

Assuming the 90 days horizon Guggenheim Alpha is expected to generate 9.03 times less return on investment than Guggenheim Macro. In addition to that, Guggenheim Alpha is 4.03 times more volatile than Guggenheim Macro Opportunities. It trades about 0.01 of its total potential returns per unit of risk. Guggenheim Macro Opportunities is currently generating about 0.29 per unit of volatility. If you would invest  2,434  in Guggenheim Macro Opportunities on May 7, 2025 and sell it today you would earn a total of  54.00  from holding Guggenheim Macro Opportunities or generate 2.22% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Guggenheim Alpha Opportunity  vs.  Guggenheim Macro Opportunities

 Performance 
       Timeline  
Guggenheim Alpha Opp 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Guggenheim Alpha Opportunity has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Guggenheim Alpha is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Guggenheim Macro Opp 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Guggenheim Macro Opportunities are ranked lower than 22 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Guggenheim Macro is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Guggenheim Alpha and Guggenheim Macro Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Guggenheim Alpha and Guggenheim Macro

The main advantage of trading using opposite Guggenheim Alpha and Guggenheim Macro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim Alpha position performs unexpectedly, Guggenheim Macro 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 Guggenheim Macro will offset losses from the drop in Guggenheim Macro's long position.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against Guggenheim Alpha as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. Guggenheim Alpha's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, Guggenheim Alpha's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Guggenheim Alpha Opportunity.
The idea behind Guggenheim Alpha Opportunity and Guggenheim Macro Opportunities 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.
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

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