Correlation Between Citigroup and Sidney Resources
Can any of the company-specific risk be diversified away by investing in both Citigroup and Sidney Resources 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 Citigroup and Sidney Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Sidney Resources Corp, you can compare the effects of market volatilities on Citigroup and Sidney Resources 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 Citigroup with a short position of Sidney Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Sidney Resources.
Diversification Opportunities for Citigroup and Sidney Resources
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Citigroup and Sidney is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Sidney Resources Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sidney Resources Corp and Citigroup 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 Citigroup are associated (or correlated) with Sidney Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sidney Resources Corp has no effect on the direction of Citigroup i.e., Citigroup and Sidney Resources go up and down completely randomly.
Pair Corralation between Citigroup and Sidney Resources
If you would invest 7,075 in Citigroup on September 25, 2024 and sell it today you would earn a total of 25.00 from holding Citigroup or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 4.76% |
Values | Daily Returns |
Citigroup vs. Sidney Resources Corp
Performance |
Timeline |
Citigroup |
Sidney Resources Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Citigroup and Sidney Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Sidney Resources
The main advantage of trading using opposite Citigroup and Sidney Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Sidney Resources 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 Sidney Resources will offset losses from the drop in Sidney Resources' long position.The idea behind Citigroup and Sidney Resources Corp 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.Sidney Resources vs. Gold And Gemstone | Sidney Resources vs. Brightrock Gold Corp | Sidney Resources vs. Mexus Gold Us | Sidney Resources vs. Platinum Group Metals |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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