Correlation Between NYSE Composite and LiveWire
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and LiveWire 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 LiveWire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and LiveWire Group, you can compare the effects of market volatilities on NYSE Composite and LiveWire 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 LiveWire. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and LiveWire.
Diversification Opportunities for NYSE Composite and LiveWire
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and LiveWire is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and LiveWire Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LiveWire Group 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 LiveWire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LiveWire Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and LiveWire go up and down completely randomly.
Pair Corralation between NYSE Composite and LiveWire
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.18 times more return on investment than LiveWire. However, NYSE Composite is 5.5 times less risky than LiveWire. It trades about 0.08 of its potential returns per unit of risk. LiveWire Group is currently generating about -0.06 per unit of risk. If you would invest 1,795,705 in NYSE Composite on September 27, 2024 and sell it today you would earn a total of 138,443 from holding NYSE Composite or generate 7.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.21% |
Values | Daily Returns |
NYSE Composite vs. LiveWire Group
Performance |
Timeline |
NYSE Composite and LiveWire Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
LiveWire Group
Pair trading matchups for LiveWire
Pair Trading with NYSE Composite and LiveWire
The main advantage of trading using opposite NYSE Composite and LiveWire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, LiveWire 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 LiveWire will offset losses from the drop in LiveWire's long position.NYSE Composite vs. Delek Logistics Partners | NYSE Composite vs. Sun Country Airlines | NYSE Composite vs. China Clean Energy | NYSE Composite vs. Regeneron Pharmaceuticals |
LiveWire vs. Ford Motor | LiveWire vs. General Motors | LiveWire vs. Goodyear Tire Rubber | LiveWire vs. Li Auto |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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