Correlation Between UNITED UTILITIES and Churchill Downs
Can any of the company-specific risk be diversified away by investing in both UNITED UTILITIES and Churchill Downs 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 Churchill Downs 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 Churchill Downs Incorporated, you can compare the effects of market volatilities on UNITED UTILITIES and Churchill Downs 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 Churchill Downs. Check out your portfolio center. Please also check ongoing floating volatility patterns of UNITED UTILITIES and Churchill Downs.
Diversification Opportunities for UNITED UTILITIES and Churchill Downs
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between UNITED and Churchill is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding UNITED UTILITIES GR and Churchill Downs Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Churchill Downs 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 Churchill Downs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Churchill Downs has no effect on the direction of UNITED UTILITIES i.e., UNITED UTILITIES and Churchill Downs go up and down completely randomly.
Pair Corralation between UNITED UTILITIES and Churchill Downs
Assuming the 90 days trading horizon UNITED UTILITIES GR is expected to generate 0.73 times more return on investment than Churchill Downs. However, UNITED UTILITIES GR is 1.38 times less risky than Churchill Downs. It trades about 0.05 of its potential returns per unit of risk. Churchill Downs Incorporated is currently generating about 0.02 per unit of risk. If you would invest 1,204 in UNITED UTILITIES GR on October 4, 2024 and sell it today you would earn a total of 46.00 from holding UNITED UTILITIES GR or generate 3.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
UNITED UTILITIES GR vs. Churchill Downs Incorporated
Performance |
Timeline |
UNITED UTILITIES |
Churchill Downs |
UNITED UTILITIES and Churchill Downs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UNITED UTILITIES and Churchill Downs
The main advantage of trading using opposite UNITED UTILITIES and Churchill Downs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UNITED UTILITIES position performs unexpectedly, Churchill Downs 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 Churchill Downs will offset losses from the drop in Churchill Downs' long position.UNITED UTILITIES vs. Apple Inc | UNITED UTILITIES vs. Apple Inc | UNITED UTILITIES vs. Apple Inc | UNITED UTILITIES vs. Apple Inc |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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