Correlation Between Uber Technologies and PKSHA TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and PKSHA TECHNOLOGY INC, you can compare the effects of market volatilities on Uber Technologies and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and PKSHA TECHNOLOGY.
Diversification Opportunities for Uber Technologies and PKSHA TECHNOLOGY
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Uber and PKSHA is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and PKSHA TECHNOLOGY INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PKSHA TECHNOLOGY INC 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 PKSHA TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PKSHA TECHNOLOGY INC has no effect on the direction of Uber Technologies i.e., Uber Technologies and PKSHA TECHNOLOGY go up and down completely randomly.
Pair Corralation between Uber Technologies and PKSHA TECHNOLOGY
Assuming the 90 days trading horizon Uber Technologies is expected to generate 1.19 times more return on investment than PKSHA TECHNOLOGY. However, Uber Technologies is 1.19 times more volatile than PKSHA TECHNOLOGY INC. It trades about 0.34 of its potential returns per unit of risk. PKSHA TECHNOLOGY INC is currently generating about -0.33 per unit of risk. If you would invest 5,830 in Uber Technologies on October 25, 2024 and sell it today you would earn a total of 728.00 from holding Uber Technologies or generate 12.49% 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. PKSHA TECHNOLOGY INC
Performance |
Timeline |
Uber Technologies |
PKSHA TECHNOLOGY INC |
Uber Technologies and PKSHA TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and PKSHA TECHNOLOGY
The main advantage of trading using opposite Uber Technologies and PKSHA TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY will offset losses from the drop in PKSHA TECHNOLOGY's long position.Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies 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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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