Correlation Between Citigroup and Pieridae Energy
Can any of the company-specific risk be diversified away by investing in both Citigroup and Pieridae Energy 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 Pieridae Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Pieridae Energy Limited, you can compare the effects of market volatilities on Citigroup and Pieridae Energy 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 Pieridae Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Pieridae Energy.
Diversification Opportunities for Citigroup and Pieridae Energy
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Citigroup and Pieridae is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Pieridae Energy Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pieridae Energy 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 Pieridae Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pieridae Energy has no effect on the direction of Citigroup i.e., Citigroup and Pieridae Energy go up and down completely randomly.
Pair Corralation between Citigroup and Pieridae Energy
Taking into account the 90-day investment horizon Citigroup is expected to generate 0.3 times more return on investment than Pieridae Energy. However, Citigroup is 3.32 times less risky than Pieridae Energy. It trades about 0.29 of its potential returns per unit of risk. Pieridae Energy Limited is currently generating about -0.01 per unit of risk. If you would invest 6,122 in Citigroup on August 26, 2024 and sell it today you would earn a total of 862.00 from holding Citigroup or generate 14.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Citigroup vs. Pieridae Energy Limited
Performance |
| Timeline |
| Citigroup |
| Pieridae Energy |
Citigroup and Pieridae Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citigroup and Pieridae Energy
The main advantage of trading using opposite Citigroup and Pieridae Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Pieridae Energy 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 Pieridae Energy will offset losses from the drop in Pieridae Energy's long position.| Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings | Citigroup vs. HSBC Holdings PLC | Citigroup vs. Bank of Montreal |
| Pieridae Energy vs. Southern Cross Media | Pieridae Energy vs. Prospera Energy | Pieridae Energy vs. Ngx Energy International | Pieridae Energy vs. ROK Resources |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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