Correlation Between Air Products and Lindsell Train
Can any of the company-specific risk be diversified away by investing in both Air Products and Lindsell Train 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 Air Products and Lindsell Train into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Products Chemicals and Lindsell Train Investment, you can compare the effects of market volatilities on Air Products and Lindsell Train 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 Air Products with a short position of Lindsell Train. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Products and Lindsell Train.
Diversification Opportunities for Air Products and Lindsell Train
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Air and Lindsell is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Air Products Chemicals and Lindsell Train Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lindsell Train Investment and Air Products 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 Air Products Chemicals are associated (or correlated) with Lindsell Train. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lindsell Train Investment has no effect on the direction of Air Products i.e., Air Products and Lindsell Train go up and down completely randomly.
Pair Corralation between Air Products and Lindsell Train
Assuming the 90 days trading horizon Air Products is expected to generate 2.3 times less return on investment than Lindsell Train. In addition to that, Air Products is 1.2 times more volatile than Lindsell Train Investment. It trades about 0.02 of its total potential returns per unit of risk. Lindsell Train Investment is currently generating about 0.05 per unit of volatility. If you would invest 79,000 in Lindsell Train Investment on December 30, 2024 and sell it today you would earn a total of 2,900 from holding Lindsell Train Investment or generate 3.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Air Products Chemicals vs. Lindsell Train Investment
Performance |
Timeline |
Air Products Chemicals |
Lindsell Train Investment |
Air Products and Lindsell Train Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Products and Lindsell Train
The main advantage of trading using opposite Air Products and Lindsell Train positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Products position performs unexpectedly, Lindsell Train 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 Lindsell Train will offset losses from the drop in Lindsell Train's long position.Air Products vs. Applied Materials | Air Products vs. Charter Communications Cl | Air Products vs. Vulcan Materials Co | Air Products vs. National Beverage Corp |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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