Correlation Between Chevron Corp and Charlottes Web
Can any of the company-specific risk be diversified away by investing in both Chevron Corp and Charlottes Web 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 Chevron Corp and Charlottes Web into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chevron Corp and Charlottes Web Holdings, you can compare the effects of market volatilities on Chevron Corp and Charlottes Web 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 Chevron Corp with a short position of Charlottes Web. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chevron Corp and Charlottes Web.
Diversification Opportunities for Chevron Corp and Charlottes Web
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chevron and Charlottes is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Chevron Corp and Charlottes Web Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Charlottes Web Holdings and Chevron Corp 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 Chevron Corp are associated (or correlated) with Charlottes Web. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Charlottes Web Holdings has no effect on the direction of Chevron Corp i.e., Chevron Corp and Charlottes Web go up and down completely randomly.
Pair Corralation between Chevron Corp and Charlottes Web
Considering the 90-day investment horizon Chevron Corp is expected to generate 1.25 times less return on investment than Charlottes Web. But when comparing it to its historical volatility, Chevron Corp is 4.72 times less risky than Charlottes Web. It trades about 0.2 of its potential returns per unit of risk. Charlottes Web Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 8.50 in Charlottes Web Holdings on December 30, 2024 and sell it today you would earn a total of 0.80 from holding Charlottes Web Holdings or generate 9.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chevron Corp vs. Charlottes Web Holdings
Performance |
Timeline |
Chevron Corp |
Charlottes Web Holdings |
Chevron Corp and Charlottes Web Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chevron Corp and Charlottes Web
The main advantage of trading using opposite Chevron Corp and Charlottes Web positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chevron Corp position performs unexpectedly, Charlottes Web 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 Charlottes Web will offset losses from the drop in Charlottes Web's long position.Chevron Corp vs. BP PLC ADR | Chevron Corp vs. Shell PLC ADR | Chevron Corp vs. Suncor Energy | Chevron Corp vs. Petrleo Brasileiro SA |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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