Correlation Between Dunham Corporate/govern and Bny Mellon
Can any of the company-specific risk be diversified away by investing in both Dunham Corporate/govern and Bny Mellon 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 Corporate/govern and Bny Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Porategovernment Bond and Bny Mellon New, you can compare the effects of market volatilities on Dunham Corporate/govern and Bny Mellon 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 Corporate/govern with a short position of Bny Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Corporate/govern and Bny Mellon.
Diversification Opportunities for Dunham Corporate/govern and Bny Mellon
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dunham and Bny is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Porategovernment Bond and Bny Mellon New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon New and Dunham Corporate/govern 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 Porategovernment Bond are associated (or correlated) with Bny Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bny Mellon New has no effect on the direction of Dunham Corporate/govern i.e., Dunham Corporate/govern and Bny Mellon go up and down completely randomly.
Pair Corralation between Dunham Corporate/govern and Bny Mellon
Assuming the 90 days horizon Dunham Porategovernment Bond is expected to under-perform the Bny Mellon. In addition to that, Dunham Corporate/govern is 1.12 times more volatile than Bny Mellon New. It trades about -0.44 of its total potential returns per unit of risk. Bny Mellon New is currently generating about -0.34 per unit of volatility. If you would invest 1,059 in Bny Mellon New on October 8, 2024 and sell it today you would lose (15.00) from holding Bny Mellon New or give up 1.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham Porategovernment Bond vs. Bny Mellon New
Performance |
Timeline |
Dunham Porategovernment |
Bny Mellon New |
Dunham Corporate/govern and Bny Mellon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Corporate/govern and Bny Mellon
The main advantage of trading using opposite Dunham Corporate/govern and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Corporate/govern position performs unexpectedly, Bny Mellon 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 Bny Mellon will offset losses from the drop in Bny Mellon's long position.Dunham Corporate/govern vs. Pimco Total Return | Dunham Corporate/govern vs. Total Return Fund | Dunham Corporate/govern vs. Total Return Fund | Dunham Corporate/govern vs. Dodge Income Fund |
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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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