Correlation Between New World and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both New World and Emerging Markets 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 New World and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New World Fund and Emerging Markets Fund, you can compare the effects of market volatilities on New World and Emerging Markets 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 New World with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of New World and Emerging Markets.
Diversification Opportunities for New World and Emerging Markets
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between New and Emerging is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding New World Fund and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets and New World 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 New World Fund are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of New World i.e., New World and Emerging Markets go up and down completely randomly.
Pair Corralation between New World and Emerging Markets
Assuming the 90 days horizon New World Fund is expected to under-perform the Emerging Markets. But the mutual fund apears to be less risky and, when comparing its historical volatility, New World Fund is 1.14 times less risky than Emerging Markets. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Emerging Markets Fund is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 1,422 in Emerging Markets Fund on January 26, 2024 and sell it today you would lose (8.00) from holding Emerging Markets Fund or give up 0.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
New World Fund vs. Emerging Markets Fund
Performance |
Timeline |
New World Fund |
Emerging Markets |
New World and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New World and Emerging Markets
The main advantage of trading using opposite New World and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New World position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.New World vs. Amana Income Fund | New World vs. Amana Growth Fund | New World vs. Amana Participation Fund | New World vs. HUMANA INC |
Emerging Markets vs. Amana Income Fund | Emerging Markets vs. Amana Growth Fund | Emerging Markets vs. Amana Participation Fund | Emerging Markets vs. HUMANA INC |
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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