Correlation Between Credit Suisse and Oppenheimer Intl
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Oppenheimer Intl 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 Oppenheimer Intl 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 Oppenheimer Intl Small, you can compare the effects of market volatilities on Credit Suisse and Oppenheimer Intl 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 Oppenheimer Intl. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Oppenheimer Intl.
Diversification Opportunities for Credit Suisse and Oppenheimer Intl
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Credit and Oppenheimer is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse X Links and Oppenheimer Intl Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oppenheimer Intl Small 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 Oppenheimer Intl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oppenheimer Intl Small has no effect on the direction of Credit Suisse i.e., Credit Suisse and Oppenheimer Intl go up and down completely randomly.
Pair Corralation between Credit Suisse and Oppenheimer Intl
Given the investment horizon of 90 days Credit Suisse X Links is expected to generate 1.43 times more return on investment than Oppenheimer Intl. However, Credit Suisse is 1.43 times more volatile than Oppenheimer Intl Small. It trades about 0.23 of its potential returns per unit of risk. Oppenheimer Intl Small is currently generating about 0.12 per unit of risk. If you would invest 4,634 in Credit Suisse X Links on May 5, 2025 and sell it today you would earn a total of 736.00 from holding Credit Suisse X Links or generate 15.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse X Links vs. Oppenheimer Intl Small
Performance |
Timeline |
Credit Suisse X |
Oppenheimer Intl Small |
Credit Suisse and Oppenheimer Intl Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Oppenheimer Intl
The main advantage of trading using opposite Credit Suisse and Oppenheimer Intl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Oppenheimer Intl 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 Oppenheimer Intl will offset losses from the drop in Oppenheimer Intl'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 |
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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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