Correlation Between Big Shopping and BioLight Life
Can any of the company-specific risk be diversified away by investing in both Big Shopping and BioLight Life 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 Big Shopping and BioLight Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Big Shopping Centers and BioLight Life Sciences, you can compare the effects of market volatilities on Big Shopping and BioLight Life 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 Big Shopping with a short position of BioLight Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Big Shopping and BioLight Life.
Diversification Opportunities for Big Shopping and BioLight Life
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Big and BioLight is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Big Shopping Centers and BioLight Life Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioLight Life Sciences and Big Shopping 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 Big Shopping Centers are associated (or correlated) with BioLight Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioLight Life Sciences has no effect on the direction of Big Shopping i.e., Big Shopping and BioLight Life go up and down completely randomly.
Pair Corralation between Big Shopping and BioLight Life
Assuming the 90 days trading horizon Big Shopping is expected to generate 1.27 times less return on investment than BioLight Life. But when comparing it to its historical volatility, Big Shopping Centers is 3.55 times less risky than BioLight Life. It trades about 0.23 of its potential returns per unit of risk. BioLight Life Sciences is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 45,500 in BioLight Life Sciences on September 3, 2024 and sell it today you would earn a total of 7,500 from holding BioLight Life Sciences or generate 16.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Big Shopping Centers vs. BioLight Life Sciences
Performance |
Timeline |
Big Shopping Centers |
BioLight Life Sciences |
Big Shopping and BioLight Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Big Shopping and BioLight Life
The main advantage of trading using opposite Big Shopping and BioLight Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Shopping position performs unexpectedly, BioLight Life 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 BioLight Life will offset losses from the drop in BioLight Life's long position.Big Shopping vs. Azrieli Group | Big Shopping vs. Melisron | Big Shopping vs. Amot Investments | Big Shopping vs. Alony Hetz Properties |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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