Correlation Between National Storage and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both National Storage and Uber Technologies 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 National Storage and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Storage REIT and Uber Technologies, you can compare the effects of market volatilities on National Storage and Uber Technologies 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 National Storage with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Storage and Uber Technologies.
Diversification Opportunities for National Storage and Uber Technologies
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between National and Uber is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding National Storage REIT and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and National Storage 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 National Storage REIT are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of National Storage i.e., National Storage and Uber Technologies go up and down completely randomly.
Pair Corralation between National Storage and Uber Technologies
Assuming the 90 days horizon National Storage REIT is expected to under-perform the Uber Technologies. In addition to that, National Storage is 1.34 times more volatile than Uber Technologies. It trades about -0.23 of its total potential returns per unit of risk. Uber Technologies is currently generating about 0.01 per unit of volatility. If you would invest 6,496 in Uber Technologies on October 11, 2024 and sell it today you would lose (5.00) from holding Uber Technologies or give up 0.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
National Storage REIT vs. Uber Technologies
Performance |
Timeline |
National Storage REIT |
Uber Technologies |
National Storage and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Storage and Uber Technologies
The main advantage of trading using opposite National Storage and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Storage position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.National Storage vs. Corporacion America Airports | National Storage vs. Pentair PLC | National Storage vs. Constellation Brands Class | National Storage vs. Cebu Air ADR |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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