Correlation Between Lumos Pharma and Sino Biopharmaceutica
Can any of the company-specific risk be diversified away by investing in both Lumos Pharma 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 Lumos Pharma and Sino Biopharmaceutica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumos Pharma and Sino Biopharmaceutical Limited, you can compare the effects of market volatilities on Lumos Pharma 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 Lumos Pharma with a short position of Sino Biopharmaceutica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumos Pharma and Sino Biopharmaceutica.
Diversification Opportunities for Lumos Pharma and Sino Biopharmaceutica
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lumos and Sino is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Lumos Pharma and Sino Biopharmaceutical Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sino Biopharmaceutical and Lumos 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 Lumos Pharma 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 Lumos Pharma i.e., Lumos Pharma and Sino Biopharmaceutica go up and down completely randomly.
Pair Corralation between Lumos Pharma and Sino Biopharmaceutica
Given the investment horizon of 90 days Lumos Pharma is expected to generate 0.23 times more return on investment than Sino Biopharmaceutica. However, Lumos Pharma is 4.27 times less risky than Sino Biopharmaceutica. It trades about 0.02 of its potential returns per unit of risk. Sino Biopharmaceutical Limited is currently generating about -0.04 per unit of risk. If you would invest 433.00 in Lumos Pharma on September 16, 2024 and sell it today you would earn a total of 1.00 from holding Lumos Pharma or generate 0.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 90.48% |
Values | Daily Returns |
Lumos Pharma vs. Sino Biopharmaceutical Limited
Performance |
Timeline |
Lumos Pharma |
Sino Biopharmaceutical |
Lumos Pharma and Sino Biopharmaceutica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumos Pharma and Sino Biopharmaceutica
The main advantage of trading using opposite Lumos Pharma and Sino Biopharmaceutica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumos Pharma 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.Lumos Pharma vs. Puma Biotechnology | Lumos Pharma vs. Iovance Biotherapeutics | Lumos Pharma vs. Zentalis Pharmaceuticals Llc | Lumos Pharma vs. Syndax Pharmaceuticals |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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