Correlation Between NYSE Composite and ECD Automotive
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and ECD Automotive 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 ECD Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and ECD Automotive Design, you can compare the effects of market volatilities on NYSE Composite and ECD Automotive 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 ECD Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and ECD Automotive.
Diversification Opportunities for NYSE Composite and ECD Automotive
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and ECD is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and ECD Automotive Design in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ECD Automotive Design 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 ECD Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ECD Automotive Design has no effect on the direction of NYSE Composite i.e., NYSE Composite and ECD Automotive go up and down completely randomly.
Pair Corralation between NYSE Composite and ECD Automotive
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.97 times less return on investment than ECD Automotive. But when comparing it to its historical volatility, NYSE Composite is 33.87 times less risky than ECD Automotive. It trades about 0.17 of its potential returns per unit of risk. ECD Automotive Design is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2.10 in ECD Automotive Design on September 3, 2024 and sell it today you would lose (0.45) from holding ECD Automotive Design or give up 21.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 29.69% |
Values | Daily Returns |
NYSE Composite vs. ECD Automotive Design
Performance |
Timeline |
NYSE Composite and ECD Automotive Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
ECD Automotive Design
Pair trading matchups for ECD Automotive
Pair Trading with NYSE Composite and ECD Automotive
The main advantage of trading using opposite NYSE Composite and ECD Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, ECD Automotive 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 ECD Automotive will offset losses from the drop in ECD Automotive's long position.NYSE Composite vs. Lindblad Expeditions Holdings | NYSE Composite vs. LB Foster | NYSE Composite vs. HUTCHMED DRC | NYSE Composite vs. Bridgford Foods |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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