Correlation Between CITIGROUP CDR and Yangarra Resources
Can any of the company-specific risk be diversified away by investing in both CITIGROUP CDR and Yangarra 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 CDR and Yangarra Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CITIGROUP CDR and Yangarra Resources, you can compare the effects of market volatilities on CITIGROUP CDR and Yangarra 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 CDR with a short position of Yangarra Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of CITIGROUP CDR and Yangarra Resources.
Diversification Opportunities for CITIGROUP CDR and Yangarra Resources
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between CITIGROUP and Yangarra is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding CITIGROUP CDR and Yangarra Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yangarra Resources and CITIGROUP CDR 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 CDR are associated (or correlated) with Yangarra Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yangarra Resources has no effect on the direction of CITIGROUP CDR i.e., CITIGROUP CDR and Yangarra Resources go up and down completely randomly.
Pair Corralation between CITIGROUP CDR and Yangarra Resources
Assuming the 90 days trading horizon CITIGROUP CDR is expected to generate 0.77 times more return on investment than Yangarra Resources. However, CITIGROUP CDR is 1.29 times less risky than Yangarra Resources. It trades about 0.09 of its potential returns per unit of risk. Yangarra Resources is currently generating about -0.04 per unit of risk. If you would invest 1,919 in CITIGROUP CDR on April 21, 2025 and sell it today you would earn a total of 1,997 from holding CITIGROUP CDR or generate 104.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CITIGROUP CDR vs. Yangarra Resources
Performance |
Timeline |
CITIGROUP CDR |
Yangarra Resources |
CITIGROUP CDR and Yangarra Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CITIGROUP CDR and Yangarra Resources
The main advantage of trading using opposite CITIGROUP CDR and Yangarra Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CITIGROUP CDR position performs unexpectedly, Yangarra 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 Yangarra Resources will offset losses from the drop in Yangarra Resources' long position.CITIGROUP CDR vs. Verizon Communications CDR | CITIGROUP CDR vs. Rogers Communications | CITIGROUP CDR vs. Lion One Metals | CITIGROUP CDR vs. Perseus Mining |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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