Correlation Between Lamar Advertising and Trupanion
Can any of the company-specific risk be diversified away by investing in both Lamar Advertising and Trupanion 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 Trupanion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lamar Advertising and Trupanion, you can compare the effects of market volatilities on Lamar Advertising and Trupanion 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 Trupanion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lamar Advertising and Trupanion.
Diversification Opportunities for Lamar Advertising and Trupanion
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lamar and Trupanion is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Lamar Advertising and Trupanion in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trupanion 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 Trupanion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trupanion has no effect on the direction of Lamar Advertising i.e., Lamar Advertising and Trupanion go up and down completely randomly.
Pair Corralation between Lamar Advertising and Trupanion
Assuming the 90 days trading horizon Lamar Advertising is expected to under-perform the Trupanion. But the stock apears to be less risky and, when comparing its historical volatility, Lamar Advertising is 2.18 times less risky than Trupanion. The stock trades about -0.02 of its potential returns per unit of risk. The Trupanion is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 3,800 in Trupanion on September 21, 2024 and sell it today you would earn a total of 963.00 from holding Trupanion or generate 25.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lamar Advertising vs. Trupanion
Performance |
Timeline |
Lamar Advertising |
Trupanion |
Lamar Advertising and Trupanion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lamar Advertising and Trupanion
The main advantage of trading using opposite Lamar Advertising and Trupanion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lamar Advertising position performs unexpectedly, Trupanion 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 Trupanion will offset losses from the drop in Trupanion's long position.Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc |
Trupanion vs. CHINA TELECOM H | Trupanion vs. Charter Communications | Trupanion vs. Lamar Advertising | Trupanion vs. Cogent Communications Holdings |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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