Correlation Between SINGAPORE AIRLINES and Lamar Advertising
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES 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 SINGAPORE AIRLINES and Lamar Advertising into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and Lamar Advertising, you can compare the effects of market volatilities on SINGAPORE AIRLINES 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 SINGAPORE AIRLINES with a short position of Lamar Advertising. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and Lamar Advertising.
Diversification Opportunities for SINGAPORE AIRLINES and Lamar Advertising
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SINGAPORE and Lamar is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and Lamar Advertising in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lamar Advertising and SINGAPORE AIRLINES 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 SINGAPORE AIRLINES 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 SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and Lamar Advertising go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and Lamar Advertising
Assuming the 90 days trading horizon SINGAPORE AIRLINES is expected to generate 0.77 times more return on investment than Lamar Advertising. However, SINGAPORE AIRLINES is 1.29 times less risky than Lamar Advertising. It trades about 0.05 of its potential returns per unit of risk. Lamar Advertising is currently generating about -0.04 per unit of risk. If you would invest 440.00 in SINGAPORE AIRLINES on October 11, 2024 and sell it today you would earn a total of 14.00 from holding SINGAPORE AIRLINES or generate 3.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. Lamar Advertising
Performance |
Timeline |
SINGAPORE AIRLINES |
Lamar Advertising |
SINGAPORE AIRLINES and Lamar Advertising Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and Lamar Advertising
The main advantage of trading using opposite SINGAPORE AIRLINES and Lamar Advertising positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES 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.SINGAPORE AIRLINES vs. THAI BEVERAGE | SINGAPORE AIRLINES vs. STMicroelectronics NV | SINGAPORE AIRLINES vs. EBRO FOODS | SINGAPORE AIRLINES vs. PREMIER FOODS |
Lamar Advertising vs. COMPUTERSHARE | Lamar Advertising vs. Aegean Airlines SA | Lamar Advertising vs. SINGAPORE AIRLINES | Lamar Advertising vs. Rocket Internet SE |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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