Correlation Between Credit Suisse and Contextlogic
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Contextlogic 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 Credit Suisse and Contextlogic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse X Links and Contextlogic, you can compare the effects of market volatilities on Credit Suisse and Contextlogic 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 Credit Suisse with a short position of Contextlogic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Contextlogic.
Diversification Opportunities for Credit Suisse and Contextlogic
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Credit and Contextlogic is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse X Links and Contextlogic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Contextlogic and Credit Suisse 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 Credit Suisse X Links are associated (or correlated) with Contextlogic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Contextlogic has no effect on the direction of Credit Suisse i.e., Credit Suisse and Contextlogic go up and down completely randomly.
Pair Corralation between Credit Suisse and Contextlogic
Given the investment horizon of 90 days Credit Suisse is expected to generate 151.1 times less return on investment than Contextlogic. But when comparing it to its historical volatility, Credit Suisse X Links is 4.14 times less risky than Contextlogic. It trades about 0.0 of its potential returns per unit of risk. Contextlogic is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 722.00 in Contextlogic on June 8, 2025 and sell it today you would earn a total of 17.00 from holding Contextlogic or generate 2.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 16.13% |
| Values | Daily Returns |
Credit Suisse X Links vs. Contextlogic
Performance |
| Timeline |
| Credit Suisse X |
| Contextlogic |
Risk-Adjusted Performance
Mild
Weak | Strong |
Credit Suisse and Contextlogic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Credit Suisse and Contextlogic
The main advantage of trading using opposite Credit Suisse and Contextlogic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Contextlogic 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 Contextlogic will offset losses from the drop in Contextlogic's long position.| Credit Suisse vs. Credit Suisse X Links | Credit Suisse vs. Credit Suisse X Links | Credit Suisse vs. Global X Russell | Credit Suisse vs. Cornerstone Strategic Value |
| Contextlogic vs. Kenon Holdings | Contextlogic vs. One Gas | Contextlogic vs. Meiwu Technology Co | Contextlogic vs. NETGEAR |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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