Correlation Between First Industrial and Lamar Advertising
Can any of the company-specific risk be diversified away by investing in both First Industrial 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 First Industrial and Lamar Advertising into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Industrial Realty and Lamar Advertising, you can compare the effects of market volatilities on First Industrial 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 First Industrial with a short position of Lamar Advertising. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Industrial and Lamar Advertising.
Diversification Opportunities for First Industrial and Lamar Advertising
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Lamar is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding First Industrial Realty and Lamar Advertising in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lamar Advertising and First Industrial 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 First Industrial Realty 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 First Industrial i.e., First Industrial and Lamar Advertising go up and down completely randomly.
Pair Corralation between First Industrial and Lamar Advertising
Allowing for the 90-day total investment horizon First Industrial Realty is expected to under-perform the Lamar Advertising. In addition to that, First Industrial is 1.15 times more volatile than Lamar Advertising. It trades about -0.2 of its total potential returns per unit of risk. Lamar Advertising is currently generating about -0.18 per unit of volatility. If you would invest 12,868 in Lamar Advertising on September 23, 2024 and sell it today you would lose (569.00) from holding Lamar Advertising or give up 4.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Industrial Realty vs. Lamar Advertising
Performance |
Timeline |
First Industrial Realty |
Lamar Advertising |
First Industrial and Lamar Advertising Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Industrial and Lamar Advertising
The main advantage of trading using opposite First Industrial and Lamar Advertising positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Industrial 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.First Industrial vs. Realty Income | First Industrial vs. Healthcare Realty Trust | First Industrial vs. Park Hotels Resorts | First Industrial vs. Power REIT |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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