Correlation Between NYSE Composite and Commodity Return
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Commodity Return 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 Commodity Return into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Commodity Return Strategy, you can compare the effects of market volatilities on NYSE Composite and Commodity Return 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 Commodity Return. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Commodity Return.
Diversification Opportunities for NYSE Composite and Commodity Return
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and COMMODITY is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Commodity Return Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodity Return Strategy 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 Commodity Return. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodity Return Strategy has no effect on the direction of NYSE Composite i.e., NYSE Composite and Commodity Return go up and down completely randomly.
Pair Corralation between NYSE Composite and Commodity Return
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.97 times more return on investment than Commodity Return. However, NYSE Composite is 1.03 times less risky than Commodity Return. It trades about 0.1 of its potential returns per unit of risk. Commodity Return Strategy is currently generating about 0.0 per unit of risk. If you would invest 1,617,454 in NYSE Composite on August 26, 2024 and sell it today you would earn a total of 394,891 from holding NYSE Composite or generate 24.41% 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. Commodity Return Strategy
Performance |
| Timeline |
NYSE Composite and Commodity Return Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Commodity Return Strategy
Pair trading matchups for Commodity Return
Pair Trading with NYSE Composite and Commodity Return
The main advantage of trading using opposite NYSE Composite and Commodity Return positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Commodity Return 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 Commodity Return will offset losses from the drop in Commodity Return's long position.| NYSE Composite vs. Glacier Bancorp | NYSE Composite vs. LithiumBank Resources Corp | NYSE Composite vs. Stepstone Group | NYSE Composite vs. Pintec Technology Holdings |
| Commodity Return vs. Credit Suisse Floating | Commodity Return vs. Credit Suisse Modity | Commodity Return vs. Credit Suisse Modity | Commodity Return vs. Credit Suisse Managed |
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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