Correlation Between Old Westbury and Calamos Global
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Calamos Global 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 Old Westbury and Calamos Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Short Term and Calamos Global Growth, you can compare the effects of market volatilities on Old Westbury and Calamos Global 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 Old Westbury with a short position of Calamos Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Calamos Global.
Diversification Opportunities for Old Westbury and Calamos Global
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Old and Calamos is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Short Term and Calamos Global Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Global Growth and Old Westbury 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 Old Westbury Short Term are associated (or correlated) with Calamos Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Global Growth has no effect on the direction of Old Westbury i.e., Old Westbury and Calamos Global go up and down completely randomly.
Pair Corralation between Old Westbury and Calamos Global
Assuming the 90 days horizon Old Westbury is expected to generate 10.04 times less return on investment than Calamos Global. But when comparing it to its historical volatility, Old Westbury Short Term is 5.42 times less risky than Calamos Global. It trades about 0.07 of its potential returns per unit of risk. Calamos Global Growth is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,334 in Calamos Global Growth on September 2, 2024 and sell it today you would earn a total of 67.00 from holding Calamos Global Growth or generate 5.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Old Westbury Short Term vs. Calamos Global Growth
Performance |
Timeline |
Old Westbury Short |
Calamos Global Growth |
Old Westbury and Calamos Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Calamos Global
The main advantage of trading using opposite Old Westbury and Calamos Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Calamos Global 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 Calamos Global will offset losses from the drop in Calamos Global's long position.Old Westbury vs. The Gabelli Equity | Old Westbury vs. Icon Equity Income | Old Westbury vs. Balanced Fund Retail | Old Westbury vs. Sarofim Equity |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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