Correlation Between LIFENET INSURANCE and URBAN OUTFITTERS
Can any of the company-specific risk be diversified away by investing in both LIFENET INSURANCE 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 LIFENET INSURANCE and URBAN OUTFITTERS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LIFENET INSURANCE CO and URBAN OUTFITTERS, you can compare the effects of market volatilities on LIFENET INSURANCE 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 LIFENET INSURANCE with a short position of URBAN OUTFITTERS. Check out your portfolio center. Please also check ongoing floating volatility patterns of LIFENET INSURANCE and URBAN OUTFITTERS.
Diversification Opportunities for LIFENET INSURANCE and URBAN OUTFITTERS
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between LIFENET and URBAN is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding LIFENET INSURANCE CO and URBAN OUTFITTERS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on URBAN OUTFITTERS and LIFENET INSURANCE 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 LIFENET INSURANCE CO 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 LIFENET INSURANCE i.e., LIFENET INSURANCE and URBAN OUTFITTERS go up and down completely randomly.
Pair Corralation between LIFENET INSURANCE and URBAN OUTFITTERS
Assuming the 90 days horizon LIFENET INSURANCE is expected to generate 2.56 times less return on investment than URBAN OUTFITTERS. But when comparing it to its historical volatility, LIFENET INSURANCE CO is 1.03 times less risky than URBAN OUTFITTERS. It trades about 0.04 of its potential returns per unit of risk. URBAN OUTFITTERS is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 4,020 in URBAN OUTFITTERS on October 3, 2024 and sell it today you would earn a total of 1,280 from holding URBAN OUTFITTERS or generate 31.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LIFENET INSURANCE CO vs. URBAN OUTFITTERS
Performance |
Timeline |
LIFENET INSURANCE |
URBAN OUTFITTERS |
LIFENET INSURANCE and URBAN OUTFITTERS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LIFENET INSURANCE and URBAN OUTFITTERS
The main advantage of trading using opposite LIFENET INSURANCE and URBAN OUTFITTERS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LIFENET INSURANCE 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.LIFENET INSURANCE vs. Prudential plc | LIFENET INSURANCE vs. Wstenrot Wrttembergische AG | LIFENET INSURANCE vs. CureVac NV | LIFENET INSURANCE vs. Deutsche Telekom AG |
URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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