Correlation Between NYSE Composite and Federated Kaufmann
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Federated Kaufmann 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 Federated Kaufmann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Federated Kaufmann Large, you can compare the effects of market volatilities on NYSE Composite and Federated Kaufmann 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 Federated Kaufmann. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Federated Kaufmann.
Diversification Opportunities for NYSE Composite and Federated Kaufmann
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYSE and FEDERATED is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Federated Kaufmann Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Kaufmann Large 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 Federated Kaufmann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Kaufmann Large has no effect on the direction of NYSE Composite i.e., NYSE Composite and Federated Kaufmann go up and down completely randomly.
Pair Corralation between NYSE Composite and Federated Kaufmann
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.84 times less return on investment than Federated Kaufmann. But when comparing it to its historical volatility, NYSE Composite is 1.52 times less risky than Federated Kaufmann. It trades about 0.17 of its potential returns per unit of risk. Federated Kaufmann Large is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,778 in Federated Kaufmann Large on September 2, 2024 and sell it today you would earn a total of 221.00 from holding Federated Kaufmann Large or generate 12.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Federated Kaufmann Large
Performance |
Timeline |
NYSE Composite and Federated Kaufmann Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Federated Kaufmann Large
Pair trading matchups for Federated Kaufmann
Pair Trading with NYSE Composite and Federated Kaufmann
The main advantage of trading using opposite NYSE Composite and Federated Kaufmann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Federated Kaufmann 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 Federated Kaufmann will offset losses from the drop in Federated Kaufmann's long position.NYSE Composite vs. Simon Property Group | NYSE Composite vs. Merit Medical Systems | NYSE Composite vs. Catalent | NYSE Composite vs. Titan Machinery |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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