Correlation Between NYSE Composite and American Balanced
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and American Balanced 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 American Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and American Balanced Fund, you can compare the effects of market volatilities on NYSE Composite and American Balanced 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 American Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and American Balanced.
Diversification Opportunities for NYSE Composite and American Balanced
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and American is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and American Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Balanced 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 American Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Balanced has no effect on the direction of NYSE Composite i.e., NYSE Composite and American Balanced go up and down completely randomly.
Pair Corralation between NYSE Composite and American Balanced
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.32 times more return on investment than American Balanced. However, NYSE Composite is 1.32 times more volatile than American Balanced Fund. It trades about 0.13 of its potential returns per unit of risk. American Balanced Fund is currently generating about 0.15 per unit of risk. If you would invest 1,898,790 in NYSE Composite on September 12, 2024 and sell it today you would earn a total of 89,400 from holding NYSE Composite or generate 4.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. American Balanced Fund
Performance |
Timeline |
NYSE Composite and American Balanced Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
American Balanced Fund
Pair trading matchups for American Balanced
Pair Trading with NYSE Composite and American Balanced
The main advantage of trading using opposite NYSE Composite and American Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, American Balanced 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 American Balanced will offset losses from the drop in American Balanced's long position.NYSE Composite vs. Teleflex Incorporated | NYSE Composite vs. Victorias Secret Co | NYSE Composite vs. Under Armour C | NYSE Composite vs. Steven Madden |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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