Correlation Between Mesirow Financial and Dunham Dynamic
Can any of the company-specific risk be diversified away by investing in both Mesirow Financial and Dunham Dynamic 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 Mesirow Financial and Dunham Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mesirow Financial High and Dunham Dynamic Macro, you can compare the effects of market volatilities on Mesirow Financial and Dunham Dynamic 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 Mesirow Financial with a short position of Dunham Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mesirow Financial and Dunham Dynamic.
Diversification Opportunities for Mesirow Financial and Dunham Dynamic
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mesirow and Dunham is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Mesirow Financial High and Dunham Dynamic Macro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Dynamic Macro and Mesirow Financial 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 Mesirow Financial High are associated (or correlated) with Dunham Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Dynamic Macro has no effect on the direction of Mesirow Financial i.e., Mesirow Financial and Dunham Dynamic go up and down completely randomly.
Pair Corralation between Mesirow Financial and Dunham Dynamic
Assuming the 90 days horizon Mesirow Financial High is expected to generate 0.4 times more return on investment than Dunham Dynamic. However, Mesirow Financial High is 2.48 times less risky than Dunham Dynamic. It trades about 0.17 of its potential returns per unit of risk. Dunham Dynamic Macro is currently generating about 0.06 per unit of risk. If you would invest 842.00 in Mesirow Financial High on September 3, 2024 and sell it today you would earn a total of 14.00 from holding Mesirow Financial High or generate 1.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mesirow Financial High vs. Dunham Dynamic Macro
Performance |
Timeline |
Mesirow Financial High |
Dunham Dynamic Macro |
Mesirow Financial and Dunham Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mesirow Financial and Dunham Dynamic
The main advantage of trading using opposite Mesirow Financial and Dunham Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mesirow Financial position performs unexpectedly, Dunham Dynamic 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 Dynamic will offset losses from the drop in Dunham Dynamic's long position.Mesirow Financial vs. Kinetics Market Opportunities | Mesirow Financial vs. Calamos Market Neutral | Mesirow Financial vs. Locorr Market Trend | Mesirow Financial vs. Morgan Stanley Emerging |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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