Correlation Between USWE SPORTS and CPU SOFTWAREHOUSE
Can any of the company-specific risk be diversified away by investing in both USWE SPORTS and CPU SOFTWAREHOUSE 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 USWE SPORTS and CPU SOFTWAREHOUSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between USWE SPORTS AB and CPU SOFTWAREHOUSE, you can compare the effects of market volatilities on USWE SPORTS and CPU SOFTWAREHOUSE 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 USWE SPORTS with a short position of CPU SOFTWAREHOUSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of USWE SPORTS and CPU SOFTWAREHOUSE.
Diversification Opportunities for USWE SPORTS and CPU SOFTWAREHOUSE
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between USWE and CPU is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding USWE SPORTS AB and CPU SOFTWAREHOUSE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CPU SOFTWAREHOUSE and USWE SPORTS 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 USWE SPORTS AB are associated (or correlated) with CPU SOFTWAREHOUSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CPU SOFTWAREHOUSE has no effect on the direction of USWE SPORTS i.e., USWE SPORTS and CPU SOFTWAREHOUSE go up and down completely randomly.
Pair Corralation between USWE SPORTS and CPU SOFTWAREHOUSE
Assuming the 90 days horizon USWE SPORTS AB is expected to generate 1.21 times more return on investment than CPU SOFTWAREHOUSE. However, USWE SPORTS is 1.21 times more volatile than CPU SOFTWAREHOUSE. It trades about -0.02 of its potential returns per unit of risk. CPU SOFTWAREHOUSE is currently generating about -0.03 per unit of risk. If you would invest 188.00 in USWE SPORTS AB on September 14, 2024 and sell it today you would lose (115.00) from holding USWE SPORTS AB or give up 61.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
USWE SPORTS AB vs. CPU SOFTWAREHOUSE
Performance |
Timeline |
USWE SPORTS AB |
CPU SOFTWAREHOUSE |
USWE SPORTS and CPU SOFTWAREHOUSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with USWE SPORTS and CPU SOFTWAREHOUSE
The main advantage of trading using opposite USWE SPORTS and CPU SOFTWAREHOUSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if USWE SPORTS position performs unexpectedly, CPU SOFTWAREHOUSE 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 CPU SOFTWAREHOUSE will offset losses from the drop in CPU SOFTWAREHOUSE's long position.USWE SPORTS vs. Superior Plus Corp | USWE SPORTS vs. SIVERS SEMICONDUCTORS AB | USWE SPORTS vs. Norsk Hydro ASA | USWE SPORTS vs. Reliance Steel Aluminum |
CPU SOFTWAREHOUSE vs. Zurich Insurance Group | CPU SOFTWAREHOUSE vs. SCIENCE IN SPORT | CPU SOFTWAREHOUSE vs. Safety Insurance Group | CPU SOFTWAREHOUSE vs. USWE SPORTS AB |
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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