Correlation Between Growth Fund and New Economy
Can any of the company-specific risk be diversified away by investing in both Growth Fund and New Economy 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 New Economy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Growth Fund Of and New Economy Fund, you can compare the effects of market volatilities on Growth Fund and New Economy 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 New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Growth Fund and New Economy.
Diversification Opportunities for Growth Fund and New Economy
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between GROWTH and New is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Growth Fund Of and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund 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 Of are associated (or correlated) with New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Growth Fund i.e., Growth Fund and New Economy go up and down completely randomly.
Pair Corralation between Growth Fund and New Economy
Assuming the 90 days horizon Growth Fund Of is expected to generate 1.01 times more return on investment than New Economy. However, Growth Fund is 1.01 times more volatile than New Economy Fund. It trades about 0.15 of its potential returns per unit of risk. New Economy Fund is currently generating about 0.04 per unit of risk. If you would invest 6,865 in Growth Fund Of on August 30, 2024 and sell it today you would earn a total of 228.00 from holding Growth Fund Of or generate 3.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Growth Fund Of vs. New Economy Fund
Performance |
| Timeline |
| Growth Fund |
| New Economy Fund |
Growth Fund and New Economy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Growth Fund and New Economy
The main advantage of trading using opposite Growth Fund and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Growth Fund position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.| Growth Fund vs. Capital World Growth | Growth Fund vs. Smallcap World Fund | Growth Fund vs. Washington Mutual Investors | Growth Fund vs. Aquagold International |
| New Economy vs. Income Fund Of | New Economy vs. New World Fund | New Economy vs. American Mutual Fund | New Economy vs. American Mutual Fund |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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