Correlation Between Contextlogic and Sea
Can any of the company-specific risk be diversified away by investing in both Contextlogic and Sea 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 Contextlogic and Sea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Contextlogic and Sea, you can compare the effects of market volatilities on Contextlogic and Sea 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 Contextlogic with a short position of Sea. Check out your portfolio center. Please also check ongoing floating volatility patterns of Contextlogic and Sea.
Diversification Opportunities for Contextlogic and Sea
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Contextlogic and Sea is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Contextlogic and Sea in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sea and Contextlogic 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 Contextlogic are associated (or correlated) with Sea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sea has no effect on the direction of Contextlogic i.e., Contextlogic and Sea go up and down completely randomly.
Pair Corralation between Contextlogic and Sea
Given the investment horizon of 90 days Contextlogic is expected to generate 1.72 times less return on investment than Sea. In addition to that, Contextlogic is 1.56 times more volatile than Sea. It trades about 0.04 of its total potential returns per unit of risk. Sea is currently generating about 0.12 per unit of volatility. If you would invest 13,392 in Sea on April 29, 2025 and sell it today you would earn a total of 2,379 from holding Sea or generate 17.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 60.32% |
| Values | Daily Returns |
Contextlogic vs. Sea
Performance |
| Timeline |
| Contextlogic |
Risk-Adjusted Performance
Insignificant
Weak | Strong |
| Sea |
Contextlogic and Sea Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Contextlogic and Sea
The main advantage of trading using opposite Contextlogic and Sea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Contextlogic position performs unexpectedly, Sea 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 Sea will offset losses from the drop in Sea's long position.| Contextlogic vs. Philip Morris International | Contextlogic vs. Stereo Vision Entertainment | Contextlogic vs. Academy Sports Outdoors | Contextlogic vs. JD Sports Fashion |
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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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