Correlation Between GB Sciences and Sino Biopharmaceutica
Can any of the company-specific risk be diversified away by investing in both GB Sciences and Sino Biopharmaceutica 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 GB Sciences and Sino Biopharmaceutica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GB Sciences and Sino Biopharmaceutical Ltd, you can compare the effects of market volatilities on GB Sciences and Sino Biopharmaceutica 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 GB Sciences with a short position of Sino Biopharmaceutica. Check out your portfolio center. Please also check ongoing floating volatility patterns of GB Sciences and Sino Biopharmaceutica.
Diversification Opportunities for GB Sciences and Sino Biopharmaceutica
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GBLX and Sino is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding GB Sciences and Sino Biopharmaceutical Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sino Biopharmaceutical and GB Sciences 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 GB Sciences are associated (or correlated) with Sino Biopharmaceutica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sino Biopharmaceutical has no effect on the direction of GB Sciences i.e., GB Sciences and Sino Biopharmaceutica go up and down completely randomly.
Pair Corralation between GB Sciences and Sino Biopharmaceutica
Given the investment horizon of 90 days GB Sciences is expected to generate 69.11 times more return on investment than Sino Biopharmaceutica. However, GB Sciences is 69.11 times more volatile than Sino Biopharmaceutical Ltd. It trades about 0.2 of its potential returns per unit of risk. Sino Biopharmaceutical Ltd is currently generating about 0.08 per unit of risk. If you would invest 0.67 in GB Sciences on September 14, 2024 and sell it today you would lose (0.08) from holding GB Sciences or give up 11.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
GB Sciences vs. Sino Biopharmaceutical Ltd
Performance |
Timeline |
GB Sciences |
Sino Biopharmaceutical |
GB Sciences and Sino Biopharmaceutica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GB Sciences and Sino Biopharmaceutica
The main advantage of trading using opposite GB Sciences and Sino Biopharmaceutica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GB Sciences position performs unexpectedly, Sino Biopharmaceutica 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 Sino Biopharmaceutica will offset losses from the drop in Sino Biopharmaceutica's long position.GB Sciences vs. Sino Biopharmaceutical Ltd | GB Sciences vs. Defence Therapeutics | GB Sciences vs. Aileron Therapeutics | GB Sciences vs. Enlivex Therapeutics |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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