Correlation Between Carnegie Clean and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and Uber Technologies 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 Carnegie Clean and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and Uber Technologies, you can compare the effects of market volatilities on Carnegie Clean and Uber Technologies 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 Carnegie Clean with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and Uber Technologies.
Diversification Opportunities for Carnegie Clean and Uber Technologies
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Carnegie and Uber is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and Uber Technologies go up and down completely randomly.
Pair Corralation between Carnegie Clean and Uber Technologies
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 1.05 times more return on investment than Uber Technologies. However, Carnegie Clean is 1.05 times more volatile than Uber Technologies. It trades about 0.0 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.04 per unit of risk. If you would invest 2.10 in Carnegie Clean Energy on October 6, 2024 and sell it today you would lose (0.04) from holding Carnegie Clean Energy or give up 1.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. Uber Technologies
Performance |
Timeline |
Carnegie Clean Energy |
Uber Technologies |
Carnegie Clean and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and Uber Technologies
The main advantage of trading using opposite Carnegie Clean and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.Carnegie Clean vs. Orsted AS | Carnegie Clean vs. Power Assets Holdings | Carnegie Clean vs. China Resources Power | Carnegie Clean vs. NRG Energy |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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