Correlation Between Lonza Group and Sonic Healthcare
Can any of the company-specific risk be diversified away by investing in both Lonza Group and Sonic Healthcare 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 Lonza Group and Sonic Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lonza Group AG and Sonic Healthcare Limited, you can compare the effects of market volatilities on Lonza Group and Sonic Healthcare 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 Lonza Group with a short position of Sonic Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lonza Group and Sonic Healthcare.
Diversification Opportunities for Lonza Group and Sonic Healthcare
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lonza and Sonic is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Lonza Group AG and Sonic Healthcare Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sonic Healthcare and Lonza Group 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 Lonza Group AG are associated (or correlated) with Sonic Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sonic Healthcare has no effect on the direction of Lonza Group i.e., Lonza Group and Sonic Healthcare go up and down completely randomly.
Pair Corralation between Lonza Group and Sonic Healthcare
Assuming the 90 days horizon Lonza Group AG is expected to under-perform the Sonic Healthcare. But the pink sheet apears to be less risky and, when comparing its historical volatility, Lonza Group AG is 1.11 times less risky than Sonic Healthcare. The pink sheet trades about -0.13 of its potential returns per unit of risk. The Sonic Healthcare Limited is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,704 in Sonic Healthcare Limited on September 12, 2024 and sell it today you would earn a total of 31.00 from holding Sonic Healthcare Limited or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lonza Group AG vs. Sonic Healthcare Limited
Performance |
Timeline |
Lonza Group AG |
Sonic Healthcare |
Lonza Group and Sonic Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lonza Group and Sonic Healthcare
The main advantage of trading using opposite Lonza Group and Sonic Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lonza Group position performs unexpectedly, Sonic Healthcare 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 Sonic Healthcare will offset losses from the drop in Sonic Healthcare's long position.Lonza Group vs. Revvity | Lonza Group vs. Sonic Healthcare Limited | Lonza Group vs. Personalis | Lonza Group vs. Applied DNA Sciences |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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