Correlation Between NYSE Composite and Rydex Inverse
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Rydex Inverse 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 Rydex Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Rydex Inverse Nasdaq 100, you can compare the effects of market volatilities on NYSE Composite and Rydex Inverse 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 Rydex Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Rydex Inverse.
Diversification Opportunities for NYSE Composite and Rydex Inverse
-0.91 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between NYSE and Rydex is -0.91. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Rydex Inverse Nasdaq 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rydex Inverse Nasdaq 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 Rydex Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rydex Inverse Nasdaq has no effect on the direction of NYSE Composite i.e., NYSE Composite and Rydex Inverse go up and down completely randomly.
Pair Corralation between NYSE Composite and Rydex Inverse
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.29 times more return on investment than Rydex Inverse. However, NYSE Composite is 3.48 times less risky than Rydex Inverse. It trades about 0.17 of its potential returns per unit of risk. Rydex Inverse Nasdaq 100 is currently generating about -0.13 per unit of risk. If you would invest 1,901,742 in NYSE Composite on September 2, 2024 and sell it today you would earn a total of 125,462 from holding NYSE Composite or generate 6.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Rydex Inverse Nasdaq 100
Performance |
Timeline |
NYSE Composite and Rydex Inverse Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Rydex Inverse Nasdaq 100
Pair trading matchups for Rydex Inverse
Pair Trading with NYSE Composite and Rydex Inverse
The main advantage of trading using opposite NYSE Composite and Rydex Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Rydex Inverse 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 Rydex Inverse will offset losses from the drop in Rydex Inverse'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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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