Correlation Between Emerging Markets and Swan Defined
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Swan Defined 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 Swan Defined into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets Small and Swan Defined Risk, you can compare the effects of market volatilities on Emerging Markets and Swan Defined 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 Swan Defined. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Swan Defined.
Diversification Opportunities for Emerging Markets and Swan Defined
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Emerging and Swan is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Small and Swan Defined Risk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swan Defined Risk 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 Small are associated (or correlated) with Swan Defined. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swan Defined Risk has no effect on the direction of Emerging Markets i.e., Emerging Markets and Swan Defined go up and down completely randomly.
Pair Corralation between Emerging Markets and Swan Defined
Assuming the 90 days horizon Emerging Markets is expected to generate 75.91 times less return on investment than Swan Defined. But when comparing it to its historical volatility, Emerging Markets Small is 38.18 times less risky than Swan Defined. It trades about 0.12 of its potential returns per unit of risk. Swan Defined Risk is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 1,369 in Swan Defined Risk on May 21, 2025 and sell it today you would earn a total of 71.00 from holding Swan Defined Risk or generate 5.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Emerging Markets Small vs. Swan Defined Risk
Performance |
Timeline |
Emerging Markets Small |
Swan Defined Risk |
Emerging Markets and Swan Defined Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emerging Markets and Swan Defined
The main advantage of trading using opposite Emerging Markets and Swan Defined positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Swan Defined 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 Swan Defined will offset losses from the drop in Swan Defined's long position.Emerging Markets vs. Franklin Gold Precious | Emerging Markets vs. World Precious Minerals | Emerging Markets vs. Deutsche Gold Precious | Emerging Markets vs. International Investors Gold |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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