Correlation Between Lindblad Expeditions and Western Union
Can any of the company-specific risk be diversified away by investing in both Lindblad Expeditions and Western Union 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 Lindblad Expeditions and Western Union into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lindblad Expeditions Holdings and Western Union Co, you can compare the effects of market volatilities on Lindblad Expeditions and Western Union 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 Lindblad Expeditions with a short position of Western Union. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lindblad Expeditions and Western Union.
Diversification Opportunities for Lindblad Expeditions and Western Union
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Lindblad and Western is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Lindblad Expeditions Holdings and Western Union Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Union and Lindblad Expeditions 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 Lindblad Expeditions Holdings are associated (or correlated) with Western Union. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Union has no effect on the direction of Lindblad Expeditions i.e., Lindblad Expeditions and Western Union go up and down completely randomly.
Pair Corralation between Lindblad Expeditions and Western Union
Given the investment horizon of 90 days Lindblad Expeditions Holdings is expected to under-perform the Western Union. In addition to that, Lindblad Expeditions is 2.1 times more volatile than Western Union Co. It trades about -0.09 of its total potential returns per unit of risk. Western Union Co is currently generating about 0.02 per unit of volatility. If you would invest 1,056 in Western Union Co on December 6, 2024 and sell it today you would earn a total of 13.00 from holding Western Union Co or generate 1.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lindblad Expeditions Holdings vs. Western Union Co
Performance |
Timeline |
Lindblad Expeditions |
Western Union |
Lindblad Expeditions and Western Union Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lindblad Expeditions and Western Union
The main advantage of trading using opposite Lindblad Expeditions and Western Union positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lindblad Expeditions position performs unexpectedly, Western Union 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 Western Union will offset losses from the drop in Western Union's long position.Lindblad Expeditions vs. Yatra Online | Lindblad Expeditions vs. Despegar Corp | Lindblad Expeditions vs. MakeMyTrip Limited | Lindblad Expeditions vs. Tuniu 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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