Correlation Between Old Westbury and Smallcap World
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Smallcap World 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 Smallcap World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Municipal and Smallcap World Fund, you can compare the effects of market volatilities on Old Westbury and Smallcap World 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 Smallcap World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Smallcap World.
Diversification Opportunities for Old Westbury and Smallcap World
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Old and Smallcap is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Municipal and Smallcap World Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smallcap World 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 Municipal are associated (or correlated) with Smallcap World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smallcap World has no effect on the direction of Old Westbury i.e., Old Westbury and Smallcap World go up and down completely randomly.
Pair Corralation between Old Westbury and Smallcap World
Assuming the 90 days horizon Old Westbury is expected to generate 31.49 times less return on investment than Smallcap World. But when comparing it to its historical volatility, Old Westbury Municipal is 7.71 times less risky than Smallcap World. It trades about 0.08 of its potential returns per unit of risk. Smallcap World Fund is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 6,681 in Smallcap World Fund on March 10, 2025 and sell it today you would earn a total of 376.00 from holding Smallcap World Fund or generate 5.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Old Westbury Municipal vs. Smallcap World Fund
Performance |
Timeline |
Old Westbury Municipal |
Smallcap World |
Old Westbury and Smallcap World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Smallcap World
The main advantage of trading using opposite Old Westbury and Smallcap World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Smallcap World 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 Smallcap World will offset losses from the drop in Smallcap World's long position.Old Westbury vs. Morningstar Aggressive Growth | Old Westbury vs. Artisan High Income | Old Westbury vs. Aggressive Balanced Allocation | Old Westbury vs. Ab High Income |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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