Correlation Between NYSE Composite and MEI Pharma
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and MEI Pharma 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 MEI Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and MEI Pharma, you can compare the effects of market volatilities on NYSE Composite and MEI Pharma 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 MEI Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and MEI Pharma.
Diversification Opportunities for NYSE Composite and MEI Pharma
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and MEI is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and MEI Pharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MEI Pharma 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 MEI Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MEI Pharma has no effect on the direction of NYSE Composite i.e., NYSE Composite and MEI Pharma go up and down completely randomly.
Pair Corralation between NYSE Composite and MEI Pharma
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.45 times more return on investment than MEI Pharma. However, NYSE Composite is 2.23 times less risky than MEI Pharma. It trades about 0.24 of its potential returns per unit of risk. MEI Pharma is currently generating about -0.35 per unit of risk. If you would invest 1,954,967 in NYSE Composite on August 27, 2024 and sell it today you would earn a total of 67,069 from holding NYSE Composite or generate 3.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. MEI Pharma
Performance |
| Timeline |
NYSE Composite and MEI Pharma Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
MEI Pharma
Pair trading matchups for MEI Pharma
Pair Trading with NYSE Composite and MEI Pharma
The main advantage of trading using opposite NYSE Composite and MEI Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, MEI Pharma 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 MEI Pharma will offset losses from the drop in MEI Pharma's long position.| NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
| MEI Pharma vs. Kezar Life Sciences | MEI Pharma vs. Vincerx Pharma | MEI Pharma vs. Avenue Therapeutics | MEI Pharma vs. Assembly Biosciences |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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