Correlation Between Credit Suisse and World Energy
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and World Energy 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 World Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse Multialternative and World Energy Fund, you can compare the effects of market volatilities on Credit Suisse and World Energy 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 World Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and World Energy.
Diversification Opportunities for Credit Suisse and World Energy
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Credit and World is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and World Energy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on World Energy 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 Multialternative are associated (or correlated) with World Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of World Energy has no effect on the direction of Credit Suisse i.e., Credit Suisse and World Energy go up and down completely randomly.
Pair Corralation between Credit Suisse and World Energy
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the World Energy. But the mutual fund apears to be less risky and, when comparing its historical volatility, Credit Suisse Multialternative is 2.7 times less risky than World Energy. The mutual fund trades about -0.07 of its potential returns per unit of risk. The World Energy Fund is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 1,390 in World Energy Fund on April 29, 2025 and sell it today you would earn a total of 294.00 from holding World Energy Fund or generate 21.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse Multialternative vs. World Energy Fund
Performance |
Timeline |
Credit Suisse Multia |
World Energy |
Credit Suisse and World Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and World Energy
The main advantage of trading using opposite Credit Suisse and World Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, World Energy 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 World Energy will offset losses from the drop in World Energy's long position.Credit Suisse vs. Hartford Healthcare Hls | Credit Suisse vs. Deutsche Health And | Credit Suisse vs. Health Care Ultrasector | Credit Suisse vs. Prudential Health Sciences |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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