Correlation Between China New and Lonza
Can any of the company-specific risk be diversified away by investing in both China New and Lonza 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 China New and Lonza into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China New Energy and Lonza Group, you can compare the effects of market volatilities on China New and Lonza 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 China New with a short position of Lonza. Check out your portfolio center. Please also check ongoing floating volatility patterns of China New and Lonza.
Diversification Opportunities for China New and Lonza
Modest diversification
The 3 months correlation between China and Lonza is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding China New Energy and Lonza Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lonza Group and China New 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 China New Energy are associated (or correlated) with Lonza. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lonza Group has no effect on the direction of China New i.e., China New and Lonza go up and down completely randomly.
Pair Corralation between China New and Lonza
Given the investment horizon of 90 days China New Energy is expected to generate 11.86 times more return on investment than Lonza. However, China New is 11.86 times more volatile than Lonza Group. It trades about 0.07 of its potential returns per unit of risk. Lonza Group is currently generating about 0.01 per unit of risk. If you would invest 1.20 in China New Energy on October 10, 2024 and sell it today you would lose (0.80) from holding China New Energy or give up 66.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China New Energy vs. Lonza Group
Performance |
Timeline |
China New Energy |
Lonza Group |
China New and Lonza Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China New and Lonza
The main advantage of trading using opposite China New and Lonza positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China New position performs unexpectedly, Lonza 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 Lonza will offset losses from the drop in Lonza's long position.China New vs. Sonic Healthcare Ltd | China New vs. Lonza Group | China New vs. Charles River Laboratories | China New vs. Qiagen NV |
Lonza vs. China New Energy | Lonza vs. Sonic Healthcare Ltd | Lonza vs. Charles River Laboratories | Lonza vs. Qiagen NV |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |