Correlation Between Commodities Strategy and Old Westbury
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy 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 Commodities Strategy and Old Westbury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodities Strategy Fund and Old Westbury Small, you can compare the effects of market volatilities on Commodities Strategy 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 Commodities Strategy with a short position of Old Westbury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Old Westbury.
Diversification Opportunities for Commodities Strategy and Old Westbury
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Commodities and Old is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund 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 Commodities Strategy 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 Commodities Strategy Fund 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 Commodities Strategy i.e., Commodities Strategy and Old Westbury go up and down completely randomly.
Pair Corralation between Commodities Strategy and Old Westbury
Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 1.86 times more return on investment than Old Westbury. However, Commodities Strategy is 1.86 times more volatile than Old Westbury Small. It trades about 0.14 of its potential returns per unit of risk. Old Westbury Small is currently generating about 0.2 per unit of risk. If you would invest 14,233 in Commodities Strategy Fund on May 4, 2025 and sell it today you would earn a total of 1,372 from holding Commodities Strategy Fund or generate 9.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Old Westbury Small
Performance |
Timeline |
Commodities Strategy |
Old Westbury Small |
Commodities Strategy and Old Westbury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Old Westbury
The main advantage of trading using opposite Commodities Strategy and Old Westbury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy 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.Commodities Strategy vs. Fidelity Series Government | Commodities Strategy vs. Payden Government Fund | Commodities Strategy vs. Ridgeworth Seix Government | Commodities Strategy vs. Wesmark Government Bond |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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