Correlation Between NYSE Composite and Manning Napier
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Manning Napier 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 Manning Napier into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Manning Napier Credit, you can compare the effects of market volatilities on NYSE Composite and Manning Napier 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 Manning Napier. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Manning Napier.
Diversification Opportunities for NYSE Composite and Manning Napier
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and Manning is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Manning Napier Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manning Napier Credit 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 Manning Napier. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manning Napier Credit has no effect on the direction of NYSE Composite i.e., NYSE Composite and Manning Napier go up and down completely randomly.
Pair Corralation between NYSE Composite and Manning Napier
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.52 times more return on investment than Manning Napier. However, NYSE Composite is 2.52 times more volatile than Manning Napier Credit. It trades about 0.26 of its potential returns per unit of risk. Manning Napier Credit is currently generating about 0.04 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 Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Manning Napier Credit
Performance |
Timeline |
NYSE Composite and Manning Napier Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Manning Napier Credit
Pair trading matchups for Manning Napier
Pair Trading with NYSE Composite and Manning Napier
The main advantage of trading using opposite NYSE Composite and Manning Napier positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Manning Napier 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 Manning Napier will offset losses from the drop in Manning Napier'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 |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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