Correlation Between Growth Fund and Global Small
Can any of the company-specific risk be diversified away by investing in both Growth Fund and Global Small 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 Growth Fund and Global Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Growth Fund Investor and Global Small Cap, you can compare the effects of market volatilities on Growth Fund and Global Small 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 Growth Fund with a short position of Global Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Growth Fund and Global Small.
Diversification Opportunities for Growth Fund and Global Small
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Growth and Global is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Growth Fund Investor and Global Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Small Cap and Growth Fund 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 Growth Fund Investor are associated (or correlated) with Global Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Small Cap has no effect on the direction of Growth Fund i.e., Growth Fund and Global Small go up and down completely randomly.
Pair Corralation between Growth Fund and Global Small
Assuming the 90 days horizon Growth Fund Investor is expected to generate 1.03 times more return on investment than Global Small. However, Growth Fund is 1.03 times more volatile than Global Small Cap. It trades about 0.17 of its potential returns per unit of risk. Global Small Cap is currently generating about 0.13 per unit of risk. If you would invest 5,687 in Growth Fund Investor on September 12, 2024 and sell it today you would earn a total of 573.00 from holding Growth Fund Investor or generate 10.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Growth Fund Investor vs. Global Small Cap
Performance |
Timeline |
Growth Fund Investor |
Global Small Cap |
Growth Fund and Global Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Growth Fund and Global Small
The main advantage of trading using opposite Growth Fund and Global Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Growth Fund position performs unexpectedly, Global Small 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 Global Small will offset losses from the drop in Global Small's long position.Growth Fund vs. Select Fund Investor | Growth Fund vs. Ultra Fund Investor | Growth Fund vs. Heritage Fund Investor | Growth Fund vs. International Growth Fund |
Global Small vs. Mirova Global Green | Global Small vs. Ab Global Real | Global Small vs. Ab Global Bond | Global Small vs. Alliancebernstein Global High |
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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