Correlation Between Aama Equity and Pace International
Can any of the company-specific risk be diversified away by investing in both Aama Equity and Pace International 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 Aama Equity and Pace International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aama Equity Fund and Pace International Emerging, you can compare the effects of market volatilities on Aama Equity and Pace International 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 Aama Equity with a short position of Pace International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aama Equity and Pace International.
Diversification Opportunities for Aama Equity and Pace International
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Aama and Pace is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Aama Equity Fund and Pace International Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pace International and Aama Equity 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 Aama Equity Fund are associated (or correlated) with Pace International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pace International has no effect on the direction of Aama Equity i.e., Aama Equity and Pace International go up and down completely randomly.
Pair Corralation between Aama Equity and Pace International
Assuming the 90 days horizon Aama Equity Fund is expected to generate 0.55 times more return on investment than Pace International. However, Aama Equity Fund is 1.83 times less risky than Pace International. It trades about 0.15 of its potential returns per unit of risk. Pace International Emerging is currently generating about -0.03 per unit of risk. If you would invest 1,995 in Aama Equity Fund on September 18, 2024 and sell it today you would earn a total of 20.00 from holding Aama Equity Fund or generate 1.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Aama Equity Fund vs. Pace International Emerging
Performance |
Timeline |
Aama Equity Fund |
Pace International |
Aama Equity and Pace International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aama Equity and Pace International
The main advantage of trading using opposite Aama Equity and Pace International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aama Equity position performs unexpectedly, Pace International 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 Pace International will offset losses from the drop in Pace International's long position.Aama Equity vs. Vanguard Health Care | Aama Equity vs. Invesco Global Health | Aama Equity vs. Alphacentric Lifesci Healthcare | Aama Equity vs. Blackrock Health Sciences |
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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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