Correlation Between Curtiss Motorcycles and Clean Energy
Can any of the company-specific risk be diversified away by investing in both Curtiss Motorcycles and Clean 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 Curtiss Motorcycles and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Curtiss Motorcycles and Clean Energy Pathway, you can compare the effects of market volatilities on Curtiss Motorcycles and Clean 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 Curtiss Motorcycles with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Curtiss Motorcycles and Clean Energy.
Diversification Opportunities for Curtiss Motorcycles and Clean Energy
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Curtiss and Clean is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Curtiss Motorcycles and Clean Energy Pathway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Pathway and Curtiss Motorcycles 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 Curtiss Motorcycles are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Pathway has no effect on the direction of Curtiss Motorcycles i.e., Curtiss Motorcycles and Clean Energy go up and down completely randomly.
Pair Corralation between Curtiss Motorcycles and Clean Energy
Given the investment horizon of 90 days Curtiss Motorcycles is expected to generate 1.52 times less return on investment than Clean Energy. But when comparing it to its historical volatility, Curtiss Motorcycles is 1.17 times less risky than Clean Energy. It trades about 0.06 of its potential returns per unit of risk. Clean Energy Pathway is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 0.25 in Clean Energy Pathway on September 12, 2024 and sell it today you would lose (0.24) from holding Clean Energy Pathway or give up 96.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Curtiss Motorcycles vs. Clean Energy Pathway
Performance |
| Timeline |
| Curtiss Motorcycles |
| Clean Energy Pathway |
Curtiss Motorcycles and Clean Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Curtiss Motorcycles and Clean Energy
The main advantage of trading using opposite Curtiss Motorcycles and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Curtiss Motorcycles position performs unexpectedly, Clean 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 Clean Energy will offset losses from the drop in Clean Energy's long position.| Curtiss Motorcycles vs. Life Electric Vehicles | Curtiss Motorcycles vs. Evil Empire Designs | Curtiss Motorcycles vs. Twin Vee Powercats | Curtiss Motorcycles vs. LCI Industries |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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