Correlation Between Canopy Growth and China SXT
Can any of the company-specific risk be diversified away by investing in both Canopy Growth and China SXT 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 Canopy Growth and China SXT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canopy Growth Corp and China SXT Pharmaceuticals, you can compare the effects of market volatilities on Canopy Growth and China SXT 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 Canopy Growth with a short position of China SXT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canopy Growth and China SXT.
Diversification Opportunities for Canopy Growth and China SXT
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Canopy and China is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Canopy Growth Corp and China SXT Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China SXT Pharmaceuticals and Canopy Growth 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 Canopy Growth Corp are associated (or correlated) with China SXT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China SXT Pharmaceuticals has no effect on the direction of Canopy Growth i.e., Canopy Growth and China SXT go up and down completely randomly.
Pair Corralation between Canopy Growth and China SXT
Considering the 90-day investment horizon Canopy Growth Corp is expected to under-perform the China SXT. But the stock apears to be less risky and, when comparing its historical volatility, Canopy Growth Corp is 2.89 times less risky than China SXT. The stock trades about -0.48 of its potential returns per unit of risk. The China SXT Pharmaceuticals is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 39.00 in China SXT Pharmaceuticals on October 1, 2024 and sell it today you would earn a total of 2.80 from holding China SXT Pharmaceuticals or generate 7.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Canopy Growth Corp vs. China SXT Pharmaceuticals
Performance |
Timeline |
Canopy Growth Corp |
China SXT Pharmaceuticals |
Canopy Growth and China SXT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canopy Growth and China SXT
The main advantage of trading using opposite Canopy Growth and China SXT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canopy Growth position performs unexpectedly, China SXT 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 China SXT will offset losses from the drop in China SXT's long position.Canopy Growth vs. Tenaris SA ADR | Canopy Growth vs. 51Talk Online Education | Canopy Growth vs. BOS Better Online | Canopy Growth vs. Integrated Drilling Equipment |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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