Correlation Between Auto Trader and Clean Power
Can any of the company-specific risk be diversified away by investing in both Auto Trader and Clean Power 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 Auto Trader and Clean Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auto Trader Group and Clean Power Hydrogen, you can compare the effects of market volatilities on Auto Trader and Clean Power 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 Auto Trader with a short position of Clean Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auto Trader and Clean Power.
Diversification Opportunities for Auto Trader and Clean Power
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Auto and Clean is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Auto Trader Group and Clean Power Hydrogen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Power Hydrogen and Auto Trader 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 Auto Trader Group are associated (or correlated) with Clean Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Power Hydrogen has no effect on the direction of Auto Trader i.e., Auto Trader and Clean Power go up and down completely randomly.
Pair Corralation between Auto Trader and Clean Power
Assuming the 90 days trading horizon Auto Trader Group is expected to generate 0.5 times more return on investment than Clean Power. However, Auto Trader Group is 1.98 times less risky than Clean Power. It trades about -0.08 of its potential returns per unit of risk. Clean Power Hydrogen is currently generating about -0.13 per unit of risk. If you would invest 78,074 in Auto Trader Group on December 23, 2024 and sell it today you would lose (4,094) from holding Auto Trader Group or give up 5.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Auto Trader Group vs. Clean Power Hydrogen
Performance |
Timeline |
Auto Trader Group |
Clean Power Hydrogen |
Auto Trader and Clean Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auto Trader and Clean Power
The main advantage of trading using opposite Auto Trader and Clean Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auto Trader position performs unexpectedly, Clean Power 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 Clean Power will offset losses from the drop in Clean Power's long position.Auto Trader vs. Norman Broadbent Plc | Auto Trader vs. Gaztransport et Technigaz | Auto Trader vs. Resolute Mining Limited | Auto Trader vs. Hochschild Mining plc |
Clean Power vs. Wheaton Precious Metals | Clean Power vs. Jacquet Metal Service | Clean Power vs. Hochschild Mining plc | Clean Power vs. Blackrock World Mining |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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