Correlation Between EBRO FOODS and Lamar Advertising
Can any of the company-specific risk be diversified away by investing in both EBRO FOODS 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 EBRO FOODS and Lamar Advertising into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EBRO FOODS and Lamar Advertising, you can compare the effects of market volatilities on EBRO FOODS 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 EBRO FOODS with a short position of Lamar Advertising. Check out your portfolio center. Please also check ongoing floating volatility patterns of EBRO FOODS and Lamar Advertising.
Diversification Opportunities for EBRO FOODS and Lamar Advertising
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between EBRO and Lamar is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding EBRO FOODS and Lamar Advertising in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lamar Advertising and EBRO FOODS 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 EBRO FOODS 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 EBRO FOODS i.e., EBRO FOODS and Lamar Advertising go up and down completely randomly.
Pair Corralation between EBRO FOODS and Lamar Advertising
If you would invest 11,876 in Lamar Advertising on September 29, 2024 and sell it today you would lose (76.00) from holding Lamar Advertising or give up 0.64% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
EBRO FOODS vs. Lamar Advertising
Performance |
| Timeline |
| EBRO FOODS |
| Lamar Advertising |
EBRO FOODS and Lamar Advertising Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with EBRO FOODS and Lamar Advertising
The main advantage of trading using opposite EBRO FOODS and Lamar Advertising positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EBRO FOODS 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.The idea behind EBRO FOODS and Lamar Advertising pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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