Correlation Between American Funds and Smallcap World
Can any of the company-specific risk be diversified away by investing in both American Funds 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 American Funds and Smallcap World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Smallcap and Smallcap World Fund, you can compare the effects of market volatilities on American Funds 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 American Funds with a short position of Smallcap World. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Smallcap World.
Diversification Opportunities for American Funds and Smallcap World
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between American and Smallcap is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Smallcap and Smallcap World Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smallcap World and American Funds 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 American Funds Smallcap 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 American Funds i.e., American Funds and Smallcap World go up and down completely randomly.
Pair Corralation between American Funds and Smallcap World
Assuming the 90 days horizon American Funds is expected to generate 1.06 times less return on investment than Smallcap World. In addition to that, American Funds is 1.01 times more volatile than Smallcap World Fund. It trades about 0.28 of its total potential returns per unit of risk. Smallcap World Fund is currently generating about 0.3 per unit of volatility. If you would invest 6,312 in Smallcap World Fund on April 30, 2025 and sell it today you would earn a total of 944.00 from holding Smallcap World Fund or generate 14.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
American Funds Smallcap vs. Smallcap World Fund
Performance |
Timeline |
American Funds Smallcap |
Smallcap World |
American Funds and Smallcap World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Smallcap World
The main advantage of trading using opposite American Funds and Smallcap World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds 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.American Funds vs. Vanguard Small Cap Value | American Funds vs. Ab Small Cap | American Funds vs. Mid Cap 15x Strategy | American Funds vs. Lsv Small Cap |
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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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