Correlation Between International Growth and Growth Fund
Can any of the company-specific risk be diversified away by investing in both International Growth and Growth Fund 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 International Growth and Growth Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between International Growth Fund and Growth Fund R6, you can compare the effects of market volatilities on International Growth and Growth Fund 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 International Growth with a short position of Growth Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of International Growth and Growth Fund.
Diversification Opportunities for International Growth and Growth Fund
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between International and Growth is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding International Growth Fund and Growth Fund R6 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Fund R6 and International Growth 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 International Growth Fund are associated (or correlated) with Growth Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Growth Fund R6 has no effect on the direction of International Growth i.e., International Growth and Growth Fund go up and down completely randomly.
Pair Corralation between International Growth and Growth Fund
Assuming the 90 days horizon International Growth Fund is expected to generate 0.45 times more return on investment than Growth Fund. However, International Growth Fund is 2.23 times less risky than Growth Fund. It trades about 0.19 of its potential returns per unit of risk. Growth Fund R6 is currently generating about 0.07 per unit of risk. If you would invest 1,238 in International Growth Fund on September 19, 2024 and sell it today you would earn a total of 32.00 from holding International Growth Fund or generate 2.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
International Growth Fund vs. Growth Fund R6
Performance |
Timeline |
International Growth |
Growth Fund R6 |
International Growth and Growth Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with International Growth and Growth Fund
The main advantage of trading using opposite International Growth and Growth Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if International Growth position performs unexpectedly, Growth Fund 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 Growth Fund will offset losses from the drop in Growth Fund's long position.International Growth vs. Value Fund Investor | International Growth vs. Ultra Fund Investor | International Growth vs. Growth Fund Investor | International Growth vs. Income Growth Fund |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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