Correlation Between Lamar Advertising and Lamar Advertising
Can any of the company-specific risk be diversified away by investing in both Lamar Advertising and Lamar Advertising 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 Lamar Advertising and Lamar Advertising into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lamar Advertising and Lamar Advertising, you can compare the effects of market volatilities on Lamar Advertising and Lamar Advertising 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 Lamar Advertising with a short position of Lamar Advertising. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lamar Advertising and Lamar Advertising.
Diversification Opportunities for Lamar Advertising and Lamar Advertising
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lamar and Lamar is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Lamar Advertising and Lamar Advertising in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lamar Advertising and Lamar Advertising 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 Lamar Advertising are associated (or correlated) with Lamar Advertising. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lamar Advertising has no effect on the direction of Lamar Advertising i.e., Lamar Advertising and Lamar Advertising go up and down completely randomly.
Pair Corralation between Lamar Advertising and Lamar Advertising
Assuming the 90 days trading horizon Lamar Advertising is expected to generate 0.81 times more return on investment than Lamar Advertising. However, Lamar Advertising is 1.24 times less risky than Lamar Advertising. It trades about 0.07 of its potential returns per unit of risk. Lamar Advertising is currently generating about 0.06 per unit of risk. If you would invest 10,745 in Lamar Advertising on October 4, 2024 and sell it today you would earn a total of 955.00 from holding Lamar Advertising or generate 8.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lamar Advertising vs. Lamar Advertising
Performance |
Timeline |
Lamar Advertising |
Lamar Advertising |
Lamar Advertising and Lamar Advertising Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lamar Advertising and Lamar Advertising
The main advantage of trading using opposite Lamar Advertising and Lamar Advertising positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lamar Advertising position performs unexpectedly, Lamar Advertising 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 Lamar Advertising will offset losses from the drop in Lamar Advertising's long position.Lamar Advertising vs. MCEWEN MINING INC | Lamar Advertising vs. INTERSHOP Communications Aktiengesellschaft | Lamar Advertising vs. ALERION CLEANPOWER | Lamar Advertising vs. Perseus Mining Limited |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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