Correlation Between BRAGG GAMING and URBAN OUTFITTERS
Can any of the company-specific risk be diversified away by investing in both BRAGG GAMING and URBAN OUTFITTERS 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 BRAGG GAMING and URBAN OUTFITTERS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BRAGG GAMING GRP and URBAN OUTFITTERS, you can compare the effects of market volatilities on BRAGG GAMING and URBAN OUTFITTERS 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 BRAGG GAMING with a short position of URBAN OUTFITTERS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BRAGG GAMING and URBAN OUTFITTERS.
Diversification Opportunities for BRAGG GAMING and URBAN OUTFITTERS
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BRAGG and URBAN is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding BRAGG GAMING GRP and URBAN OUTFITTERS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on URBAN OUTFITTERS and BRAGG GAMING 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 BRAGG GAMING GRP are associated (or correlated) with URBAN OUTFITTERS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of URBAN OUTFITTERS has no effect on the direction of BRAGG GAMING i.e., BRAGG GAMING and URBAN OUTFITTERS go up and down completely randomly.
Pair Corralation between BRAGG GAMING and URBAN OUTFITTERS
Assuming the 90 days horizon BRAGG GAMING GRP is expected to under-perform the URBAN OUTFITTERS. In addition to that, BRAGG GAMING is 1.34 times more volatile than URBAN OUTFITTERS. It trades about -0.08 of its total potential returns per unit of risk. URBAN OUTFITTERS is currently generating about 0.24 per unit of volatility. If you would invest 3,300 in URBAN OUTFITTERS on September 20, 2024 and sell it today you would earn a total of 1,950 from holding URBAN OUTFITTERS or generate 59.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BRAGG GAMING GRP vs. URBAN OUTFITTERS
Performance |
Timeline |
BRAGG GAMING GRP |
URBAN OUTFITTERS |
BRAGG GAMING and URBAN OUTFITTERS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BRAGG GAMING and URBAN OUTFITTERS
The main advantage of trading using opposite BRAGG GAMING and URBAN OUTFITTERS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BRAGG GAMING position performs unexpectedly, URBAN OUTFITTERS 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 URBAN OUTFITTERS will offset losses from the drop in URBAN OUTFITTERS's long position.BRAGG GAMING vs. NEXON Co | BRAGG GAMING vs. Take Two Interactive Software | BRAGG GAMING vs. Superior Plus Corp | BRAGG GAMING vs. SIVERS SEMICONDUCTORS AB |
URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Microsoft |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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