Correlation Between NYSE Composite and Leuthold Select
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Leuthold Select 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 Leuthold Select into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Leuthold Select Industries, you can compare the effects of market volatilities on NYSE Composite and Leuthold Select 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 Leuthold Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Leuthold Select.
Diversification Opportunities for NYSE Composite and Leuthold Select
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and Leuthold is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Leuthold Select Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leuthold Select Indu 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 Leuthold Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leuthold Select Indu has no effect on the direction of NYSE Composite i.e., NYSE Composite and Leuthold Select go up and down completely randomly.
Pair Corralation between NYSE Composite and Leuthold Select
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.52 times more return on investment than Leuthold Select. However, NYSE Composite is 1.94 times less risky than Leuthold Select. It trades about 0.13 of its potential returns per unit of risk. Leuthold Select Industries is currently generating about 0.03 per unit of risk. If you would invest 1,588,163 in NYSE Composite on September 14, 2024 and sell it today you would earn a total of 388,746 from holding NYSE Composite or generate 24.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.63% |
Values | Daily Returns |
NYSE Composite vs. Leuthold Select Industries
Performance |
Timeline |
NYSE Composite and Leuthold Select Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Leuthold Select Industries
Pair trading matchups for Leuthold Select
Pair Trading with NYSE Composite and Leuthold Select
The main advantage of trading using opposite NYSE Composite and Leuthold Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Leuthold Select 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 Leuthold Select will offset losses from the drop in Leuthold Select's long position.NYSE Composite vs. Air Products and | NYSE Composite vs. Allient | NYSE Composite vs. Ecovyst | NYSE Composite vs. CTS Corporation |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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