Correlation Between NYSE Composite and Real Assets
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Real Assets 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 Real Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Real Assets Portfolio, you can compare the effects of market volatilities on NYSE Composite and Real Assets 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 Real Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Real Assets.
Diversification Opportunities for NYSE Composite and Real Assets
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and REAL is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio 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 Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of NYSE Composite i.e., NYSE Composite and Real Assets go up and down completely randomly.
Pair Corralation between NYSE Composite and Real Assets
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.09 times more return on investment than Real Assets. However, NYSE Composite is 1.09 times more volatile than Real Assets Portfolio. It trades about 0.42 of its potential returns per unit of risk. Real Assets Portfolio is currently generating about -0.03 per unit of risk. If you would invest 1,923,895 in NYSE Composite on September 1, 2024 and sell it today you would earn a total of 103,309 from holding NYSE Composite or generate 5.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
NYSE Composite vs. Real Assets Portfolio
Performance |
| Timeline |
NYSE Composite and Real Assets Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Real Assets Portfolio
Pair trading matchups for Real Assets
Pair Trading with NYSE Composite and Real Assets
The main advantage of trading using opposite NYSE Composite and Real Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Real Assets 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 Real Assets will offset losses from the drop in Real Assets' long position.| NYSE Composite vs. Acumen Pharmaceuticals | NYSE Composite vs. Mind Medicine | NYSE Composite vs. NL Industries | NYSE Composite vs. Ecovyst |
| Real Assets vs. Emerging Markets Equity | Real Assets vs. Global Fixed Income | Real Assets vs. Global Fixed Income | Real Assets vs. Global Fixed Income |
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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