Correlation Between NYSE Composite and Pacer CFRA
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Pacer CFRA 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 Pacer CFRA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Pacer CFRA Stovall Equal, you can compare the effects of market volatilities on NYSE Composite and Pacer CFRA 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 Pacer CFRA. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Pacer CFRA.
Diversification Opportunities for NYSE Composite and Pacer CFRA
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and Pacer is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Pacer CFRA Stovall Equal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pacer CFRA Stovall 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 Pacer CFRA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pacer CFRA Stovall has no effect on the direction of NYSE Composite i.e., NYSE Composite and Pacer CFRA go up and down completely randomly.
Pair Corralation between NYSE Composite and Pacer CFRA
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.82 times more return on investment than Pacer CFRA. However, NYSE Composite is 1.22 times less risky than Pacer CFRA. It trades about 0.05 of its potential returns per unit of risk. Pacer CFRA Stovall Equal is currently generating about -0.06 per unit of risk. If you would invest 1,911,944 in NYSE Composite on December 20, 2024 and sell it today you would earn a total of 46,188 from holding NYSE Composite or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Pacer CFRA Stovall Equal
Performance |
Timeline |
NYSE Composite and Pacer CFRA Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Pacer CFRA Stovall Equal
Pair trading matchups for Pacer CFRA
Pair Trading with NYSE Composite and Pacer CFRA
The main advantage of trading using opposite NYSE Composite and Pacer CFRA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Pacer CFRA 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 Pacer CFRA will offset losses from the drop in Pacer CFRA's long position.NYSE Composite vs. Lipocine | NYSE Composite vs. Regeneron Pharmaceuticals | NYSE Composite vs. Vacasa Inc | NYSE Composite vs. Genfit |
Pacer CFRA vs. Pacer Trendpilot Large | Pacer CFRA vs. Pacer Trendpilot Mid | Pacer CFRA vs. Pacer Trendpilot 100 | Pacer CFRA vs. Pacer Trendpilot European |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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