Correlation Between Credit Suisse and Old Westbury
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Old Westbury 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 Old Westbury 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 Old Westbury Small, you can compare the effects of market volatilities on Credit Suisse and Old Westbury 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 Old Westbury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Old Westbury.
Diversification Opportunities for Credit Suisse and Old Westbury
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Credit and Old is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and Old Westbury Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Westbury 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 Multialternative are associated (or correlated) with Old Westbury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Westbury Small has no effect on the direction of Credit Suisse i.e., Credit Suisse and Old Westbury go up and down completely randomly.
Pair Corralation between Credit Suisse and Old Westbury
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the Old Westbury. But the mutual fund apears to be less risky and, when comparing its historical volatility, Credit Suisse Multialternative is 1.39 times less risky than Old Westbury. The mutual fund trades about -0.03 of its potential returns per unit of risk. The Old Westbury Small is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,700 in Old Westbury Small on May 18, 2025 and sell it today you would earn a total of 100.00 from holding Old Westbury Small or generate 5.88% 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. Old Westbury Small
Performance |
Timeline |
Credit Suisse Multia |
Old Westbury Small |
Credit Suisse and Old Westbury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Old Westbury
The main advantage of trading using opposite Credit Suisse and Old Westbury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Old Westbury 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 Old Westbury will offset losses from the drop in Old Westbury's long position.Credit Suisse vs. Barings High Yield | Credit Suisse vs. Americafirst Monthly Risk On | Credit Suisse vs. Gmo High Yield | Credit Suisse vs. Msift High Yield |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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