Correlation Between Deutsche Gnma and Deutsche Managed
Can any of the company-specific risk be diversified away by investing in both Deutsche Gnma and Deutsche Managed 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 Deutsche Gnma and Deutsche Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Gnma Fund and Deutsche Managed Municipal, you can compare the effects of market volatilities on Deutsche Gnma and Deutsche Managed 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 Deutsche Gnma with a short position of Deutsche Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Gnma and Deutsche Managed.
Diversification Opportunities for Deutsche Gnma and Deutsche Managed
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Deutsche and Deutsche is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Gnma Fund and Deutsche Managed Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Managed Mun and Deutsche Gnma 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 Deutsche Gnma Fund are associated (or correlated) with Deutsche Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Managed Mun has no effect on the direction of Deutsche Gnma i.e., Deutsche Gnma and Deutsche Managed go up and down completely randomly.
Pair Corralation between Deutsche Gnma and Deutsche Managed
Assuming the 90 days horizon Deutsche Gnma is expected to generate 1.28 times less return on investment than Deutsche Managed. In addition to that, Deutsche Gnma is 1.59 times more volatile than Deutsche Managed Municipal. It trades about 0.04 of its total potential returns per unit of risk. Deutsche Managed Municipal is currently generating about 0.08 per unit of volatility. If you would invest 796.00 in Deutsche Managed Municipal on August 29, 2024 and sell it today you would earn a total of 27.00 from holding Deutsche Managed Municipal or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Gnma Fund vs. Deutsche Managed Municipal
Performance |
Timeline |
Deutsche Gnma |
Deutsche Managed Mun |
Deutsche Gnma and Deutsche Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Gnma and Deutsche Managed
The main advantage of trading using opposite Deutsche Gnma and Deutsche Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Gnma position performs unexpectedly, Deutsche Managed 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 Deutsche Managed will offset losses from the drop in Deutsche Managed's long position.Deutsche Gnma vs. First Eagle Gold | Deutsche Gnma vs. Gamco Global Gold | Deutsche Gnma vs. Short Precious Metals | Deutsche Gnma vs. Gold Portfolio Fidelity |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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