Correlation Between NYSE Composite and Amg Renaissance
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Amg Renaissance 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 Amg Renaissance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Amg Renaissance Large, you can compare the effects of market volatilities on NYSE Composite and Amg Renaissance 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 Amg Renaissance. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Amg Renaissance.
Diversification Opportunities for NYSE Composite and Amg Renaissance
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and Amg is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Amg Renaissance Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Renaissance Large 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 Amg Renaissance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Renaissance Large has no effect on the direction of NYSE Composite i.e., NYSE Composite and Amg Renaissance go up and down completely randomly.
Pair Corralation between NYSE Composite and Amg Renaissance
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.73 times more return on investment than Amg Renaissance. However, NYSE Composite is 1.38 times less risky than Amg Renaissance. It trades about 0.28 of its potential returns per unit of risk. Amg Renaissance Large is currently generating about 0.17 per unit of risk. If you would invest 1,926,142 in NYSE Composite on November 5, 2024 and sell it today you would earn a total of 73,740 from holding NYSE Composite or generate 3.83% 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. Amg Renaissance Large
Performance |
Timeline |
NYSE Composite and Amg Renaissance Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Amg Renaissance Large
Pair trading matchups for Amg Renaissance
Pair Trading with NYSE Composite and Amg Renaissance
The main advantage of trading using opposite NYSE Composite and Amg Renaissance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Amg Renaissance 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 Amg Renaissance will offset losses from the drop in Amg Renaissance's long position.NYSE Composite vs. Lion One Metals | NYSE Composite vs. Codexis | NYSE Composite vs. Yuexiu Transport Infrastructure | NYSE Composite vs. Saia Inc |
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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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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