Correlation Between UNITED UTILITIES and Lithia Motors
Can any of the company-specific risk be diversified away by investing in both UNITED UTILITIES and Lithia Motors 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 UNITED UTILITIES and Lithia Motors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UNITED UTILITIES GR and Lithia Motors, you can compare the effects of market volatilities on UNITED UTILITIES and Lithia Motors 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 UNITED UTILITIES with a short position of Lithia Motors. Check out your portfolio center. Please also check ongoing floating volatility patterns of UNITED UTILITIES and Lithia Motors.
Diversification Opportunities for UNITED UTILITIES and Lithia Motors
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between UNITED and Lithia is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding UNITED UTILITIES GR and Lithia Motors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lithia Motors and UNITED UTILITIES 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 UNITED UTILITIES GR are associated (or correlated) with Lithia Motors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lithia Motors has no effect on the direction of UNITED UTILITIES i.e., UNITED UTILITIES and Lithia Motors go up and down completely randomly.
Pair Corralation between UNITED UTILITIES and Lithia Motors
Assuming the 90 days trading horizon UNITED UTILITIES is expected to generate 1.78 times less return on investment than Lithia Motors. But when comparing it to its historical volatility, UNITED UTILITIES GR is 1.39 times less risky than Lithia Motors. It trades about 0.05 of its potential returns per unit of risk. Lithia Motors is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 33,149 in Lithia Motors on October 7, 2024 and sell it today you would earn a total of 1,251 from holding Lithia Motors or generate 3.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
UNITED UTILITIES GR vs. Lithia Motors
Performance |
Timeline |
UNITED UTILITIES |
Lithia Motors |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Good
UNITED UTILITIES and Lithia Motors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UNITED UTILITIES and Lithia Motors
The main advantage of trading using opposite UNITED UTILITIES and Lithia Motors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UNITED UTILITIES position performs unexpectedly, Lithia Motors 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 Lithia Motors will offset losses from the drop in Lithia Motors' long position.UNITED UTILITIES vs. 24SEVENOFFICE GROUP AB | UNITED UTILITIES vs. G8 EDUCATION | UNITED UTILITIES vs. alstria office REIT AG | UNITED UTILITIES vs. EMBARK EDUCATION LTD |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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