Correlation Between NYSE Composite and ReposiTrak
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and ReposiTrak 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 ReposiTrak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and ReposiTrak, you can compare the effects of market volatilities on NYSE Composite and ReposiTrak 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 ReposiTrak. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and ReposiTrak.
Diversification Opportunities for NYSE Composite and ReposiTrak
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and ReposiTrak is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and ReposiTrak in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ReposiTrak 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 ReposiTrak. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ReposiTrak has no effect on the direction of NYSE Composite i.e., NYSE Composite and ReposiTrak go up and down completely randomly.
Pair Corralation between NYSE Composite and ReposiTrak
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.36 times more return on investment than ReposiTrak. However, NYSE Composite is 2.75 times less risky than ReposiTrak. It trades about 0.03 of its potential returns per unit of risk. ReposiTrak is currently generating about -0.07 per unit of risk. If you would invest 1,920,711 in NYSE Composite on December 22, 2024 and sell it today you would earn a total of 24,719 from holding NYSE Composite or generate 1.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
NYSE Composite vs. ReposiTrak
Performance |
Timeline |
NYSE Composite and ReposiTrak Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
ReposiTrak
Pair trading matchups for ReposiTrak
Pair Trading with NYSE Composite and ReposiTrak
The main advantage of trading using opposite NYSE Composite and ReposiTrak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, ReposiTrak 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 ReposiTrak will offset losses from the drop in ReposiTrak's long position.NYSE Composite vs. Life Time Group | NYSE Composite vs. Asbury Automotive Group | NYSE Composite vs. Fast Retailing Co | NYSE Composite vs. Getty Realty |
ReposiTrak vs. Old Dominion Freight | ReposiTrak vs. Ryanair Holdings PLC | ReposiTrak vs. Verra Mobility Corp | ReposiTrak vs. Hurco Companies |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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