Correlation Between Emerging Markets and Aig Government
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Aig Government 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 Emerging Markets and Aig Government into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets Fund and Aig Government Money, you can compare the effects of market volatilities on Emerging Markets and Aig Government 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 Emerging Markets with a short position of Aig Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Aig Government.
Diversification Opportunities for Emerging Markets and Aig Government
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Emerging and Aig is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Fund and Aig Government Money in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aig Government Money and Emerging Markets 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 Emerging Markets Fund are associated (or correlated) with Aig Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aig Government Money has no effect on the direction of Emerging Markets i.e., Emerging Markets and Aig Government go up and down completely randomly.
Pair Corralation between Emerging Markets and Aig Government
Assuming the 90 days horizon Emerging Markets Fund is expected to generate 7.3 times more return on investment than Aig Government. However, Emerging Markets is 7.3 times more volatile than Aig Government Money. It trades about 0.19 of its potential returns per unit of risk. Aig Government Money is currently generating about 0.26 per unit of risk. If you would invest 2,139 in Emerging Markets Fund on May 4, 2025 and sell it today you would earn a total of 193.00 from holding Emerging Markets Fund or generate 9.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Emerging Markets Fund vs. Aig Government Money
Performance |
Timeline |
Emerging Markets |
Aig Government Money |
Emerging Markets and Aig Government Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emerging Markets and Aig Government
The main advantage of trading using opposite Emerging Markets and Aig Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Aig Government 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 Aig Government will offset losses from the drop in Aig Government's long position.Emerging Markets vs. Technology Ultrasector Profund | Emerging Markets vs. Dreyfus Technology Growth | Emerging Markets vs. Baron Select Funds | Emerging Markets vs. Pgim Jennison Technology |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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