Correlation Between Uber Technologies and Kurita Water
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and Kurita Water 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 Kurita Water into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Kurita Water Industries, you can compare the effects of market volatilities on Uber Technologies and Kurita Water 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 Kurita Water. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Kurita Water.
Diversification Opportunities for Uber Technologies and Kurita Water
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Uber and Kurita is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Kurita Water Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kurita Water Industries 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 Kurita Water. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kurita Water Industries has no effect on the direction of Uber Technologies i.e., Uber Technologies and Kurita Water go up and down completely randomly.
Pair Corralation between Uber Technologies and Kurita Water
Assuming the 90 days trading horizon Uber Technologies is expected to generate 1.18 times more return on investment than Kurita Water. However, Uber Technologies is 1.18 times more volatile than Kurita Water Industries. It trades about 0.11 of its potential returns per unit of risk. Kurita Water Industries is currently generating about -0.04 per unit of risk. If you would invest 5,918 in Uber Technologies on December 22, 2024 and sell it today you would earn a total of 1,010 from holding Uber Technologies or generate 17.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Uber Technologies vs. Kurita Water Industries
Performance |
Timeline |
Uber Technologies |
Kurita Water Industries |
Uber Technologies and Kurita Water Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and Kurita Water
The main advantage of trading using opposite Uber Technologies and Kurita Water positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Kurita Water 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 Kurita Water will offset losses from the drop in Kurita Water's long position.Uber Technologies vs. GRUPO CARSO A1 | Uber Technologies vs. Cars Inc | Uber Technologies vs. INTER CARS SA | Uber Technologies vs. PKSHA TECHNOLOGY 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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