Correlation Between Teva Pharma and Aurora Cannabis
Can any of the company-specific risk be diversified away by investing in both Teva Pharma and Aurora Cannabis 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 Teva Pharma and Aurora Cannabis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Teva Pharma Industries and Aurora Cannabis, you can compare the effects of market volatilities on Teva Pharma and Aurora Cannabis 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 Teva Pharma with a short position of Aurora Cannabis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Teva Pharma and Aurora Cannabis.
Diversification Opportunities for Teva Pharma and Aurora Cannabis
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Teva and Aurora is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Teva Pharma Industries and Aurora Cannabis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aurora Cannabis and Teva Pharma 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 Teva Pharma Industries are associated (or correlated) with Aurora Cannabis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aurora Cannabis has no effect on the direction of Teva Pharma i.e., Teva Pharma and Aurora Cannabis go up and down completely randomly.
Pair Corralation between Teva Pharma and Aurora Cannabis
Given the investment horizon of 90 days Teva Pharma Industries is expected to generate 1.01 times more return on investment than Aurora Cannabis. However, Teva Pharma is 1.01 times more volatile than Aurora Cannabis. It trades about 0.1 of its potential returns per unit of risk. Aurora Cannabis is currently generating about -0.04 per unit of risk. If you would invest 1,753 in Teva Pharma Industries on October 8, 2024 and sell it today you would earn a total of 365.50 from holding Teva Pharma Industries or generate 20.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Teva Pharma Industries vs. Aurora Cannabis
Performance |
Timeline |
Teva Pharma Industries |
Aurora Cannabis |
Teva Pharma and Aurora Cannabis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Teva Pharma and Aurora Cannabis
The main advantage of trading using opposite Teva Pharma and Aurora Cannabis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Teva Pharma position performs unexpectedly, Aurora Cannabis 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 Aurora Cannabis will offset losses from the drop in Aurora Cannabis' long position.Teva Pharma vs. Haleon plc | Teva Pharma vs. Bausch Health Companies | Teva Pharma vs. Zoetis Inc | Teva Pharma vs. Takeda Pharmaceutical Co |
Aurora Cannabis vs. Canopy Growth Corp | Aurora Cannabis vs. SNDL Inc | Aurora Cannabis vs. Cronos Group | Aurora Cannabis vs. Curaleaf Holdings |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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