Correlation Between Uber Technologies and Enbridge
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and Enbridge 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 Uber Technologies and Enbridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Enbridge, you can compare the effects of market volatilities on Uber Technologies and Enbridge 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 Uber Technologies with a short position of Enbridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Enbridge.
Diversification Opportunities for Uber Technologies and Enbridge
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Uber and Enbridge is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Enbridge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enbridge and Uber Technologies 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 Uber Technologies are associated (or correlated) with Enbridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enbridge has no effect on the direction of Uber Technologies i.e., Uber Technologies and Enbridge go up and down completely randomly.
Pair Corralation between Uber Technologies and Enbridge
Assuming the 90 days trading horizon Uber Technologies is expected to generate 2.1 times more return on investment than Enbridge. However, Uber Technologies is 2.1 times more volatile than Enbridge. It trades about 0.08 of its potential returns per unit of risk. Enbridge is currently generating about 0.05 per unit of risk. If you would invest 2,642 in Uber Technologies on October 4, 2024 and sell it today you would earn a total of 3,481 from holding Uber Technologies or generate 131.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Uber Technologies vs. Enbridge
Performance |
Timeline |
Uber Technologies |
Enbridge |
Uber Technologies and Enbridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and Enbridge
The main advantage of trading using opposite Uber Technologies and Enbridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Enbridge 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 Enbridge will offset losses from the drop in Enbridge's long position.Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc |
Enbridge vs. CapitaLand Investment Limited | Enbridge vs. JD SPORTS FASH | Enbridge vs. Transportadora de Gas | Enbridge vs. USWE SPORTS AB |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |