Correlation Between Retail Food and Galena Mining

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Retail Food and Galena 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 Galena 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 Galena Mining, you can compare the effects of market volatilities on Retail Food and Galena 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 Galena Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and Galena Mining.

Diversification Opportunities for Retail Food and Galena Mining

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Retail and Galena is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and Galena Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galena 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 Galena Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galena Mining has no effect on the direction of Retail Food i.e., Retail Food and Galena Mining go up and down completely randomly.

Pair Corralation between Retail Food and Galena Mining

If you would invest  5.90  in Galena Mining on September 24, 2024 and sell it today you would earn a total of  0.00  from holding Galena Mining or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Retail Food Group  vs.  Galena Mining

 Performance 
       Timeline  
Retail Food Group 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Retail Food Group has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's technical and fundamental indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.
Galena Mining 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Galena Mining has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Galena Mining is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Retail Food and Galena Mining Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Retail Food and Galena Mining

The main advantage of trading using opposite Retail Food and Galena Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, Galena 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 Galena Mining will offset losses from the drop in Galena Mining's long position.
The idea behind Retail Food Group and Galena 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Other Complementary Tools

Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Fundamental Analysis
View fundamental data based on most recent published financial statements