Correlation Between DWS Municipal and Mount Logan
Can any of the company-specific risk be diversified away by investing in both DWS Municipal and Mount Logan 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 DWS Municipal and Mount Logan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DWS Municipal Income and Mount Logan Capital, you can compare the effects of market volatilities on DWS Municipal and Mount Logan 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 DWS Municipal with a short position of Mount Logan. Check out your portfolio center. Please also check ongoing floating volatility patterns of DWS Municipal and Mount Logan.
Diversification Opportunities for DWS Municipal and Mount Logan
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DWS and Mount is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding DWS Municipal Income and Mount Logan Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mount Logan Capital and DWS Municipal 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 DWS Municipal Income are associated (or correlated) with Mount Logan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mount Logan Capital has no effect on the direction of DWS Municipal i.e., DWS Municipal and Mount Logan go up and down completely randomly.
Pair Corralation between DWS Municipal and Mount Logan
Considering the 90-day investment horizon DWS Municipal Income is expected to generate 0.96 times more return on investment than Mount Logan. However, DWS Municipal Income is 1.04 times less risky than Mount Logan. It trades about 0.17 of its potential returns per unit of risk. Mount Logan Capital is currently generating about -0.08 per unit of risk. If you would invest 905.00 in DWS Municipal Income on September 2, 2024 and sell it today you would earn a total of 101.00 from holding DWS Municipal Income or generate 11.16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.24% |
| Values | Daily Returns |
DWS Municipal Income vs. Mount Logan Capital
Performance |
| Timeline |
| DWS Municipal Income |
| Mount Logan Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
DWS Municipal and Mount Logan Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DWS Municipal and Mount Logan
The main advantage of trading using opposite DWS Municipal and Mount Logan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DWS Municipal position performs unexpectedly, Mount Logan 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 Mount Logan will offset losses from the drop in Mount Logan's long position.| DWS Municipal vs. DTF Tax Free | DWS Municipal vs. Blackrock Muniyield Quality | DWS Municipal vs. Blackrock Muni Intermediate | DWS Municipal vs. Blackrock Muniholdings Quality |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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