Correlation Between Amg River and Dunham Corporate/govern
Can any of the company-specific risk be diversified away by investing in both Amg River and Dunham Corporate/govern 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 Amg River and Dunham Corporate/govern into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg River Road and Dunham Porategovernment Bond, you can compare the effects of market volatilities on Amg River and Dunham Corporate/govern 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 Amg River with a short position of Dunham Corporate/govern. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg River and Dunham Corporate/govern.
Diversification Opportunities for Amg River and Dunham Corporate/govern
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Dunham is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Amg River Road and Dunham Porategovernment Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Porategovernment and Amg River 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 Amg River Road are associated (or correlated) with Dunham Corporate/govern. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Porategovernment has no effect on the direction of Amg River i.e., Amg River and Dunham Corporate/govern go up and down completely randomly.
Pair Corralation between Amg River and Dunham Corporate/govern
Assuming the 90 days horizon Amg River Road is expected to under-perform the Dunham Corporate/govern. In addition to that, Amg River is 2.89 times more volatile than Dunham Porategovernment Bond. It trades about -0.13 of its total potential returns per unit of risk. Dunham Porategovernment Bond is currently generating about 0.16 per unit of volatility. If you would invest 1,231 in Dunham Porategovernment Bond on March 7, 2024 and sell it today you would earn a total of 11.00 from holding Dunham Porategovernment Bond or generate 0.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amg River Road vs. Dunham Porategovernment Bond
Performance |
Timeline |
Amg River Road |
Dunham Porategovernment |
Amg River and Dunham Corporate/govern Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg River and Dunham Corporate/govern
The main advantage of trading using opposite Amg River and Dunham Corporate/govern positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg River position performs unexpectedly, Dunham Corporate/govern 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 Dunham Corporate/govern will offset losses from the drop in Dunham Corporate/govern's long position.Amg River vs. Fidelity Large Cap | Amg River vs. Fidelity Emerging Markets | Amg River vs. Aquagold International | Amg River vs. Barloworld Ltd ADR |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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