Correlation Between Dunham Emerging and Prudential Qma
Can any of the company-specific risk be diversified away by investing in both Dunham Emerging and Prudential Qma 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 Dunham Emerging and Prudential Qma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Emerging Markets and Prudential Qma Strategic, you can compare the effects of market volatilities on Dunham Emerging and Prudential Qma 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 Dunham Emerging with a short position of Prudential Qma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Emerging and Prudential Qma.
Diversification Opportunities for Dunham Emerging and Prudential Qma
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dunham and Prudential is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Emerging Markets and Prudential Qma Strategic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prudential Qma Strategic and Dunham Emerging 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 Dunham Emerging Markets are associated (or correlated) with Prudential Qma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prudential Qma Strategic has no effect on the direction of Dunham Emerging i.e., Dunham Emerging and Prudential Qma go up and down completely randomly.
Pair Corralation between Dunham Emerging and Prudential Qma
Assuming the 90 days horizon Dunham Emerging Markets is expected to generate 0.84 times more return on investment than Prudential Qma. However, Dunham Emerging Markets is 1.18 times less risky than Prudential Qma. It trades about 0.02 of its potential returns per unit of risk. Prudential Qma Strategic is currently generating about 0.0 per unit of risk. If you would invest 1,323 in Dunham Emerging Markets on October 9, 2024 and sell it today you would earn a total of 68.00 from holding Dunham Emerging Markets or generate 5.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Dunham Emerging Markets vs. Prudential Qma Strategic
Performance |
Timeline |
Dunham Emerging Markets |
Prudential Qma Strategic |
Dunham Emerging and Prudential Qma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Emerging and Prudential Qma
The main advantage of trading using opposite Dunham Emerging and Prudential Qma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Emerging position performs unexpectedly, Prudential Qma 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 Prudential Qma will offset losses from the drop in Prudential Qma's long position.Dunham Emerging vs. Delaware Limited Term Diversified | Dunham Emerging vs. Kinetics Market Opportunities | Dunham Emerging vs. Sp Midcap Index | Dunham Emerging vs. Saat Market Growth |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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