Correlation Between Alps/corecommodity and Guggenheim Macro

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

Diversification Opportunities for Alps/corecommodity and Guggenheim Macro

0.74
  Correlation Coefficient

Poor diversification

The 3 months correlation between Alps/corecommodity and Guggenheim is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Alpscorecommodity Management P 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 Alps/corecommodity 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 Alpscorecommodity Management Pletecommoditiessm 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 Alps/corecommodity i.e., Alps/corecommodity and Guggenheim Macro go up and down completely randomly.

Pair Corralation between Alps/corecommodity and Guggenheim Macro

Assuming the 90 days horizon Alpscorecommodity Management Pletecommoditiessm is expected to generate 4.73 times more return on investment than Guggenheim Macro. However, Alps/corecommodity is 4.73 times more volatile than Guggenheim Macro Opportunities. It trades about 0.22 of its potential returns per unit of risk. Guggenheim Macro Opportunities is currently generating about 0.19 per unit of risk. If you would invest  698.00  in Alpscorecommodity Management Pletecommoditiessm on December 26, 2024 and sell it today you would earn a total of  60.00  from holding Alpscorecommodity Management Pletecommoditiessm or generate 8.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Alpscorecommodity Management P  vs.  Guggenheim Macro Opportunities

 Performance 
       Timeline  
Alps/corecommodity 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Alpscorecommodity Management Pletecommoditiessm are ranked lower than 16 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Alps/corecommodity may actually be approaching a critical reversion point that can send shares even higher in April 2025.
Guggenheim Macro Opp 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Guggenheim Macro Opportunities are ranked lower than 14 (%) 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.

Alps/corecommodity and Guggenheim Macro Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Alps/corecommodity and Guggenheim Macro

The main advantage of trading using opposite Alps/corecommodity and Guggenheim Macro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alps/corecommodity 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 idea behind Alpscorecommodity Management Pletecommoditiessm 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.
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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.

Other Complementary Tools

Share Portfolio
Track or share privately all of your investments from the convenience of any device
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum