Correlation Between Salesforce and Constellation Energy
Can any of the company-specific risk be diversified away by investing in both Salesforce and Constellation 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 Salesforce and Constellation Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and Constellation Energy, you can compare the effects of market volatilities on Salesforce and Constellation 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 Salesforce with a short position of Constellation Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and Constellation Energy.
Diversification Opportunities for Salesforce and Constellation Energy
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Salesforce and Constellation is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and Constellation Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Constellation Energy and Salesforce 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 Salesforce are associated (or correlated) with Constellation Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Constellation Energy has no effect on the direction of Salesforce i.e., Salesforce and Constellation Energy go up and down completely randomly.
Pair Corralation between Salesforce and Constellation Energy
Considering the 90-day investment horizon Salesforce is expected to generate 1.57 times less return on investment than Constellation Energy. But when comparing it to its historical volatility, Salesforce is 1.48 times less risky than Constellation Energy. It trades about 0.09 of its potential returns per unit of risk. Constellation Energy is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 7,395 in Constellation Energy on October 10, 2024 and sell it today you would earn a total of 17,620 from holding Constellation Energy or generate 238.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.0% |
Values | Daily Returns |
Salesforce vs. Constellation Energy
Performance |
Timeline |
Salesforce |
Constellation Energy |
Salesforce and Constellation Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Salesforce and Constellation Energy
The main advantage of trading using opposite Salesforce and Constellation Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, Constellation 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 Constellation Energy will offset losses from the drop in Constellation Energy's long position.Salesforce vs. Zoom Video Communications | Salesforce vs. C3 Ai Inc | Salesforce vs. Shopify | Salesforce vs. Workday |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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