Correlation Between NYSE Composite and Lonza
Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Lonza into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Lonza Group, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Lonza. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Lonza.
Diversification Opportunities for NYSE Composite and Lonza
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and Lonza is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Lonza Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lonza Group and NYSE Composite 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 NYSE Composite 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 NYSE Composite i.e., NYSE Composite and Lonza go up and down completely randomly.
Pair Corralation between NYSE Composite and Lonza
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.25 times more return on investment than Lonza. However, NYSE Composite is 4.01 times less risky than Lonza. It trades about 0.08 of its potential returns per unit of risk. Lonza Group is currently generating about 0.02 per unit of risk. If you would invest 1,582,860 in NYSE Composite on September 1, 2024 and sell it today you would earn a total of 444,344 from holding NYSE Composite or generate 28.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.78% |
Values | Daily Returns |
NYSE Composite vs. Lonza Group
Performance |
Timeline |
NYSE Composite and Lonza Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Lonza Group
Pair trading matchups for Lonza
Pair Trading with NYSE Composite and Lonza
The main advantage of trading using opposite NYSE Composite and Lonza positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.NYSE Composite vs. Acumen Pharmaceuticals | NYSE Composite vs. Mind Medicine | NYSE Composite vs. NL Industries | NYSE Composite vs. Ecovyst |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |