Correlation Between NYSE Composite and Autohome
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Autohome 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 Autohome into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Autohome, you can compare the effects of market volatilities on NYSE Composite and Autohome 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 Autohome. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Autohome.
Diversification Opportunities for NYSE Composite and Autohome
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and Autohome is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Autohome in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Autohome 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 Autohome. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Autohome has no effect on the direction of NYSE Composite i.e., NYSE Composite and Autohome go up and down completely randomly.
Pair Corralation between NYSE Composite and Autohome
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.87 times less return on investment than Autohome. But when comparing it to its historical volatility, NYSE Composite is 3.94 times less risky than Autohome. It trades about 0.17 of its potential returns per unit of risk. Autohome is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,477 in Autohome on September 2, 2024 and sell it today you would earn a total of 274.00 from holding Autohome or generate 11.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Autohome
Performance |
Timeline |
NYSE Composite and Autohome Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Autohome
Pair trading matchups for Autohome
Pair Trading with NYSE Composite and Autohome
The main advantage of trading using opposite NYSE Composite and Autohome positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Autohome 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 Autohome will offset losses from the drop in Autohome's long position.NYSE Composite vs. Simon Property Group | NYSE Composite vs. Merit Medical Systems | NYSE Composite vs. Catalent | NYSE Composite vs. Titan Machinery |
Autohome vs. Hello Group | Autohome vs. Weibo Corp | Autohome vs. Tencent Music Entertainment | Autohome vs. DouYu International Holdings |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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