Correlation Between NYSE Composite and Investment Grade
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Investment Grade 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 Investment Grade into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Investment Grade Porate, you can compare the effects of market volatilities on NYSE Composite and Investment Grade 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 Investment Grade. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Investment Grade.
Diversification Opportunities for NYSE Composite and Investment Grade
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and Investment is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Investment Grade Porate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Investment Grade Porate 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 Investment Grade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Investment Grade Porate has no effect on the direction of NYSE Composite i.e., NYSE Composite and Investment Grade go up and down completely randomly.
Pair Corralation between NYSE Composite and Investment Grade
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.68 times more return on investment than Investment Grade. However, NYSE Composite is 1.68 times more volatile than Investment Grade Porate. It trades about 0.24 of its potential returns per unit of risk. Investment Grade Porate is currently generating about 0.08 per unit of risk. If you would invest 1,954,967 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 67,069 from holding NYSE Composite or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Investment Grade Porate
Performance |
Timeline |
NYSE Composite and Investment Grade Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Investment Grade Porate
Pair trading matchups for Investment Grade
Pair Trading with NYSE Composite and Investment Grade
The main advantage of trading using opposite NYSE Composite and Investment Grade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Investment Grade 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 Investment Grade will offset losses from the drop in Investment Grade's long position.NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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