Correlation Between Retail Food and Metro Mining

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

Diversification Opportunities for Retail Food and Metro Mining

0.34
  Correlation Coefficient

Weak diversification

The 3 months correlation between Retail and Metro is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and Metro Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro Mining and Retail Food 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 Retail Food Group are associated (or correlated) with Metro Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro Mining has no effect on the direction of Retail Food i.e., Retail Food and Metro Mining go up and down completely randomly.

Pair Corralation between Retail Food and Metro Mining

Assuming the 90 days trading horizon Retail Food is expected to generate 13.87 times less return on investment than Metro Mining. But when comparing it to its historical volatility, Retail Food Group is 1.66 times less risky than Metro Mining. It trades about 0.03 of its potential returns per unit of risk. Metro Mining is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  3.50  in Metro Mining on September 9, 2024 and sell it today you would earn a total of  2.70  from holding Metro Mining or generate 77.14% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Retail Food Group  vs.  Metro Mining

 Performance 
       Timeline  
Retail Food Group 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Retail Food Group are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Retail Food is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.
Metro Mining 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Metro Mining are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain forward indicators, Metro Mining unveiled solid returns over the last few months and may actually be approaching a breakup point.

Retail Food and Metro Mining Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Retail Food and Metro Mining

The main advantage of trading using opposite Retail Food and Metro Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, Metro Mining 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 Metro Mining will offset losses from the drop in Metro Mining's long position.
The idea behind Retail Food Group and Metro Mining 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

Other Complementary Tools

Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital