Correlation Between USWE SPORTS and PATTIES FOODS
Can any of the company-specific risk be diversified away by investing in both USWE SPORTS and PATTIES FOODS 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 PATTIES FOODS 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 PATTIES FOODS , you can compare the effects of market volatilities on USWE SPORTS and PATTIES FOODS 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 PATTIES FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of USWE SPORTS and PATTIES FOODS.
Diversification Opportunities for USWE SPORTS and PATTIES FOODS
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between USWE and PATTIES is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding USWE SPORTS AB and PATTIES FOODS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PATTIES FOODS 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 PATTIES FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PATTIES FOODS has no effect on the direction of USWE SPORTS i.e., USWE SPORTS and PATTIES FOODS go up and down completely randomly.
Pair Corralation between USWE SPORTS and PATTIES FOODS
Assuming the 90 days horizon USWE SPORTS is expected to generate 1.36 times less return on investment than PATTIES FOODS. But when comparing it to its historical volatility, USWE SPORTS AB is 1.32 times less risky than PATTIES FOODS. It trades about 0.28 of its potential returns per unit of risk. PATTIES FOODS is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 32.00 in PATTIES FOODS on April 23, 2025 and sell it today you would earn a total of 41.00 from holding PATTIES FOODS or generate 128.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
USWE SPORTS AB vs. PATTIES FOODS
Performance |
Timeline |
USWE SPORTS AB |
PATTIES FOODS |
USWE SPORTS and PATTIES FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with USWE SPORTS and PATTIES FOODS
The main advantage of trading using opposite USWE SPORTS and PATTIES FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if USWE SPORTS position performs unexpectedly, PATTIES FOODS 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 PATTIES FOODS will offset losses from the drop in PATTIES FOODS's long position.USWE SPORTS vs. Cogent Communications Holdings | USWE SPORTS vs. Entravision Communications | USWE SPORTS vs. Chunghwa Telecom Co | USWE SPORTS vs. The Peoples Insurance |
PATTIES FOODS vs. Zoetis Inc | PATTIES FOODS vs. Shionogi Co | PATTIES FOODS vs. Ipsen SA | PATTIES FOODS vs. Dr Reddys Laboratories |
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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