Correlation Between Chart Industries and United Parks
Can any of the company-specific risk be diversified away by investing in both Chart Industries and United Parks 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 Chart Industries and United Parks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chart Industries and United Parks Resorts, you can compare the effects of market volatilities on Chart Industries and United Parks 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 Chart Industries with a short position of United Parks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chart Industries and United Parks.
Diversification Opportunities for Chart Industries and United Parks
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Chart and United is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Chart Industries and United Parks Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Parks Resorts and Chart Industries 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 Chart Industries are associated (or correlated) with United Parks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Parks Resorts has no effect on the direction of Chart Industries i.e., Chart Industries and United Parks go up and down completely randomly.
Pair Corralation between Chart Industries and United Parks
Assuming the 90 days trading horizon Chart Industries is expected to generate 1.46 times more return on investment than United Parks. However, Chart Industries is 1.46 times more volatile than United Parks Resorts. It trades about 0.08 of its potential returns per unit of risk. United Parks Resorts is currently generating about 0.02 per unit of risk. If you would invest 7,172 in Chart Industries on October 11, 2024 and sell it today you would earn a total of 262.00 from holding Chart Industries or generate 3.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Chart Industries vs. United Parks Resorts
Performance |
Timeline |
Chart Industries |
United Parks Resorts |
Chart Industries and United Parks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chart Industries and United Parks
The main advantage of trading using opposite Chart Industries and United Parks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chart Industries position performs unexpectedly, United Parks 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 United Parks will offset losses from the drop in United Parks' long position.Chart Industries vs. Babcock Wilcox Enterprises | Chart Industries vs. Morgan Stanley | Chart Industries vs. National Storage Affiliates |
United Parks vs. CVR Partners LP | United Parks vs. Albemarle | United Parks vs. SEI Investments | United Parks vs. Hawkins |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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