Correlation Between NYSE Composite and Catalent
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Catalent 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 Catalent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Catalent, you can compare the effects of market volatilities on NYSE Composite and Catalent 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 Catalent. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Catalent.
Diversification Opportunities for NYSE Composite and Catalent
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between NYSE and Catalent is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Catalent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalent 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 Catalent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalent has no effect on the direction of NYSE Composite i.e., NYSE Composite and Catalent go up and down completely randomly.
Pair Corralation between NYSE Composite and Catalent
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.74 times more return on investment than Catalent. However, NYSE Composite is 1.35 times less risky than Catalent. It trades about 0.26 of its potential returns per unit of risk. Catalent is currently generating about 0.19 per unit of risk. If you would invest 1,945,669 in NYSE Composite on August 30, 2024 and sell it today you would earn a total of 75,313 from holding NYSE Composite or generate 3.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
NYSE Composite vs. Catalent
Performance |
Timeline |
NYSE Composite and Catalent Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Catalent
Pair trading matchups for Catalent
Pair Trading with NYSE Composite and Catalent
The main advantage of trading using opposite NYSE Composite and Catalent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Catalent 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 Catalent will offset losses from the drop in Catalent's long position.NYSE Composite vs. Delek Drilling | NYSE Composite vs. Helmerich and Payne | NYSE Composite vs. Waste Management | NYSE Composite vs. US Global Investors |
Catalent vs. Emergent Biosolutions | Catalent vs. Bausch Health Companies | Catalent vs. Neurocrine Biosciences | Catalent vs. Teva Pharma 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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