Correlation Between Lamar Advertising and GungHo Online
Can any of the company-specific risk be diversified away by investing in both Lamar Advertising and GungHo Online 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 GungHo Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lamar Advertising and GungHo Online Entertainment, you can compare the effects of market volatilities on Lamar Advertising and GungHo Online 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 GungHo Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lamar Advertising and GungHo Online.
Diversification Opportunities for Lamar Advertising and GungHo Online
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lamar and GungHo is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Lamar Advertising and GungHo Online Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GungHo Online Entert 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 GungHo Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GungHo Online Entert has no effect on the direction of Lamar Advertising i.e., Lamar Advertising and GungHo Online go up and down completely randomly.
Pair Corralation between Lamar Advertising and GungHo Online
Assuming the 90 days trading horizon Lamar Advertising is expected to generate 0.75 times more return on investment than GungHo Online. However, Lamar Advertising is 1.33 times less risky than GungHo Online. It trades about 0.05 of its potential returns per unit of risk. GungHo Online Entertainment is currently generating about 0.04 per unit of risk. If you would invest 8,091 in Lamar Advertising on September 29, 2024 and sell it today you would earn a total of 3,709 from holding Lamar Advertising or generate 45.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lamar Advertising vs. GungHo Online Entertainment
Performance |
Timeline |
Lamar Advertising |
GungHo Online Entert |
Lamar Advertising and GungHo Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lamar Advertising and GungHo Online
The main advantage of trading using opposite Lamar Advertising and GungHo Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lamar Advertising position performs unexpectedly, GungHo Online 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 GungHo Online will offset losses from the drop in GungHo Online's long position.Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc | Lamar Advertising vs. Apple Inc |
GungHo Online vs. Nintendo Co | GungHo Online vs. Sea Limited | GungHo Online vs. Electronic Arts | GungHo Online vs. NEXON Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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