Correlation Between Lamar Advertising and China Datang
Can any of the company-specific risk be diversified away by investing in both Lamar Advertising and China Datang 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 China Datang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lamar Advertising and China Datang, you can compare the effects of market volatilities on Lamar Advertising and China Datang 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 China Datang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lamar Advertising and China Datang.
Diversification Opportunities for Lamar Advertising and China Datang
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lamar and China is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Lamar Advertising and China Datang in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Datang 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 China Datang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Datang has no effect on the direction of Lamar Advertising i.e., Lamar Advertising and China Datang go up and down completely randomly.
Pair Corralation between Lamar Advertising and China Datang
Assuming the 90 days trading horizon Lamar Advertising is expected to generate 0.47 times more return on investment than China Datang. However, Lamar Advertising is 2.12 times less risky than China Datang. It trades about 0.09 of its potential returns per unit of risk. China Datang is currently generating about 0.01 per unit of risk. If you would invest 11,800 in Lamar Advertising on October 25, 2024 and sell it today you would earn a total of 200.00 from holding Lamar Advertising or generate 1.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lamar Advertising vs. China Datang
Performance |
Timeline |
Lamar Advertising |
China Datang |
Lamar Advertising and China Datang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lamar Advertising and China Datang
The main advantage of trading using opposite Lamar Advertising and China Datang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lamar Advertising position performs unexpectedly, China Datang 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 China Datang will offset losses from the drop in China Datang's long position.Lamar Advertising vs. Telecom Argentina SA | Lamar Advertising vs. Spirent Communications plc | Lamar Advertising vs. Harmony Gold Mining | Lamar Advertising vs. Iridium Communications |
China Datang vs. Charter Communications | China Datang vs. OPERA SOFTWARE | China Datang vs. FORMPIPE SOFTWARE AB | China Datang vs. USU Software AG |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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