Correlation Between Emerging Markets and Weitz Balanced
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Weitz Balanced 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 Weitz Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Emerging Markets and Weitz Balanced, you can compare the effects of market volatilities on Emerging Markets and Weitz Balanced 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 Weitz Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Weitz Balanced.
Diversification Opportunities for Emerging Markets and Weitz Balanced
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Emerging and Weitz is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding The Emerging Markets and Weitz Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weitz Balanced 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 The Emerging Markets are associated (or correlated) with Weitz Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weitz Balanced has no effect on the direction of Emerging Markets i.e., Emerging Markets and Weitz Balanced go up and down completely randomly.
Pair Corralation between Emerging Markets and Weitz Balanced
Assuming the 90 days horizon The Emerging Markets is expected to generate 1.94 times more return on investment than Weitz Balanced. However, Emerging Markets is 1.94 times more volatile than Weitz Balanced. It trades about 0.0 of its potential returns per unit of risk. Weitz Balanced is currently generating about -0.15 per unit of risk. If you would invest 1,872 in The Emerging Markets on December 2, 2024 and sell it today you would lose (4.00) from holding The Emerging Markets or give up 0.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Emerging Markets vs. Weitz Balanced
Performance |
Timeline |
Emerging Markets |
Weitz Balanced |
Emerging Markets and Weitz Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emerging Markets and Weitz Balanced
The main advantage of trading using opposite Emerging Markets and Weitz Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Weitz Balanced 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 Weitz Balanced will offset losses from the drop in Weitz Balanced's long position.Emerging Markets vs. College Retirement Equities | Emerging Markets vs. Franklin Moderate Allocation | Emerging Markets vs. Wealthbuilder Moderate Balanced | Emerging Markets vs. American Funds Retirement |
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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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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