Correlation Between NYSE Composite and Lanxess AG
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Lanxess AG 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 Lanxess AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Lanxess AG, you can compare the effects of market volatilities on NYSE Composite and Lanxess AG 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 Lanxess AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Lanxess AG.
Diversification Opportunities for NYSE Composite and Lanxess AG
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NYSE and Lanxess is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Lanxess AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lanxess AG 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 Lanxess AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lanxess AG has no effect on the direction of NYSE Composite i.e., NYSE Composite and Lanxess AG go up and down completely randomly.
Pair Corralation between NYSE Composite and Lanxess AG
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.29 times more return on investment than Lanxess AG. However, NYSE Composite is 3.45 times less risky than Lanxess AG. It trades about 0.09 of its potential returns per unit of risk. Lanxess AG is currently generating about -0.02 per unit of risk. If you would invest 1,620,776 in NYSE Composite on October 3, 2024 and sell it today you would earn a total of 288,935 from holding NYSE Composite or generate 17.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 76.78% |
Values | Daily Returns |
NYSE Composite vs. Lanxess AG
Performance |
Timeline |
NYSE Composite and Lanxess AG Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Lanxess AG
Pair trading matchups for Lanxess AG
Pair Trading with NYSE Composite and Lanxess AG
The main advantage of trading using opposite NYSE Composite and Lanxess AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Lanxess AG 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 Lanxess AG will offset losses from the drop in Lanxess AG's long position.NYSE Composite vs. Anheuser Busch Inbev | NYSE Composite vs. Molson Coors Brewing | NYSE Composite vs. Integral Ad Science | NYSE Composite vs. SNDL Inc |
Lanxess AG vs. Air Products and | Lanxess AG vs. Linde plc Ordinary | Lanxess AG vs. Sherwin Williams Co | Lanxess AG vs. PPG Industries |
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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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