Correlation Between Stag Industrial and USWE SPORTS
Can any of the company-specific risk be diversified away by investing in both Stag Industrial and USWE SPORTS 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 Stag Industrial and USWE SPORTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stag Industrial and USWE SPORTS AB, you can compare the effects of market volatilities on Stag Industrial and USWE SPORTS 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 Stag Industrial with a short position of USWE SPORTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stag Industrial and USWE SPORTS.
Diversification Opportunities for Stag Industrial and USWE SPORTS
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Stag and USWE is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Stag Industrial and USWE SPORTS AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USWE SPORTS AB and Stag Industrial 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 Stag Industrial are associated (or correlated) with USWE SPORTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USWE SPORTS AB has no effect on the direction of Stag Industrial i.e., Stag Industrial and USWE SPORTS go up and down completely randomly.
Pair Corralation between Stag Industrial and USWE SPORTS
Assuming the 90 days trading horizon Stag Industrial is expected to generate 10.06 times less return on investment than USWE SPORTS. But when comparing it to its historical volatility, Stag Industrial is 2.53 times less risky than USWE SPORTS. It trades about 0.07 of its potential returns per unit of risk. USWE SPORTS AB is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 63.00 in USWE SPORTS AB on April 24, 2025 and sell it today you would earn a total of 58.00 from holding USWE SPORTS AB or generate 92.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stag Industrial vs. USWE SPORTS AB
Performance |
Timeline |
Stag Industrial |
USWE SPORTS AB |
Stag Industrial and USWE SPORTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stag Industrial and USWE SPORTS
The main advantage of trading using opposite Stag Industrial and USWE SPORTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stag Industrial position performs unexpectedly, USWE SPORTS 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 USWE SPORTS will offset losses from the drop in USWE SPORTS's long position.Stag Industrial vs. Martin Marietta Materials | Stag Industrial vs. Compagnie Plastic Omnium | Stag Industrial vs. Reinsurance Group of | Stag Industrial vs. Hyster Yale Materials Handling |
USWE SPORTS vs. PRINCIPAL FINANCIAL | USWE SPORTS vs. PNC Financial Services | USWE SPORTS vs. Laureate Education | USWE SPORTS vs. DeVry Education Group |
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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