Correlation Between NYSE Composite and Pax High
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Pax High 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 Pax High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Pax High Yield, you can compare the effects of market volatilities on NYSE Composite and Pax High 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 Pax High. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Pax High.
Diversification Opportunities for NYSE Composite and Pax High
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NYSE and Pax is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Pax High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax High Yield 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 Pax High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax High Yield has no effect on the direction of NYSE Composite i.e., NYSE Composite and Pax High go up and down completely randomly.
Pair Corralation between NYSE Composite and Pax High
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.35 times more return on investment than Pax High. However, NYSE Composite is 4.35 times more volatile than Pax High Yield. It trades about 0.19 of its potential returns per unit of risk. Pax High Yield is currently generating about 0.15 per unit of risk. If you would invest 1,956,073 in NYSE Composite on August 25, 2024 and sell it today you would earn a total of 56,272 from holding NYSE Composite or generate 2.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Pax High Yield
Performance |
| Timeline |
NYSE Composite and Pax High Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Pax High Yield
Pair trading matchups for Pax High
Pair Trading with NYSE Composite and Pax High
The main advantage of trading using opposite NYSE Composite and Pax High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Pax High 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 Pax High will offset losses from the drop in Pax High'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 |
| Pax High vs. Pax Esg Beta | Pax High vs. Pax Balanced Fund | Pax High vs. Tcw E Fixed | Pax High vs. Pear Tree Polaris |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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