Correlation Between NYSE Composite and Federated Total
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Federated Total 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 Total 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 Total Return, you can compare the effects of market volatilities on NYSE Composite and Federated Total 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 Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Federated Total.
Diversification Opportunities for NYSE Composite and Federated Total
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and Federated is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Federated Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Total Return 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 Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Total Return has no effect on the direction of NYSE Composite i.e., NYSE Composite and Federated Total go up and down completely randomly.
Pair Corralation between NYSE Composite and Federated Total
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.84 times more return on investment than Federated Total. However, NYSE Composite is 1.84 times more volatile than Federated Total Return. It trades about 0.23 of its potential returns per unit of risk. Federated Total Return is currently generating about 0.09 per unit of risk. If you would invest 1,954,967 in NYSE Composite on August 29, 2024 and sell it today you would earn a total of 66,015 from holding NYSE Composite or generate 3.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Federated Total Return
Performance |
Timeline |
NYSE Composite and Federated Total Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Federated Total Return
Pair trading matchups for Federated Total
Pair Trading with NYSE Composite and Federated Total
The main advantage of trading using opposite NYSE Composite and Federated Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Federated Total 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 Total will offset losses from the drop in Federated Total's long position.NYSE Composite vs. Sphere Entertainment Co | NYSE Composite vs. Weibo Corp | NYSE Composite vs. BCE Inc | NYSE Composite vs. Pinterest |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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