Correlation Between Nebraska Municipal and Power Income
Can any of the company-specific risk be diversified away by investing in both Nebraska Municipal and Power Income 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 Nebraska Municipal and Power Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nebraska Municipal Fund and Power Income Fund, you can compare the effects of market volatilities on Nebraska Municipal and Power Income 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 Nebraska Municipal with a short position of Power Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nebraska Municipal and Power Income.
Diversification Opportunities for Nebraska Municipal and Power Income
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nebraska and Power is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Nebraska Municipal Fund and Power Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Income and Nebraska 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 Nebraska Municipal Fund are associated (or correlated) with Power Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Income has no effect on the direction of Nebraska Municipal i.e., Nebraska Municipal and Power Income go up and down completely randomly.
Pair Corralation between Nebraska Municipal and Power Income
Assuming the 90 days horizon Nebraska Municipal Fund is expected to under-perform the Power Income. But the mutual fund apears to be less risky and, when comparing its historical volatility, Nebraska Municipal Fund is 1.04 times less risky than Power Income. The mutual fund trades about -0.02 of its potential returns per unit of risk. The Power Income Fund is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 890.00 in Power Income Fund on December 21, 2024 and sell it today you would earn a total of 17.00 from holding Power Income Fund or generate 1.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nebraska Municipal Fund vs. Power Income Fund
Performance |
Timeline |
Nebraska Municipal |
Power Income |
Nebraska Municipal and Power Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nebraska Municipal and Power Income
The main advantage of trading using opposite Nebraska Municipal and Power Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nebraska Municipal position performs unexpectedly, Power Income 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 Power Income will offset losses from the drop in Power Income's long position.Nebraska Municipal vs. Rbc Bluebay Global | Nebraska Municipal vs. Ab Global Bond | Nebraska Municipal vs. Dodge Global Stock | Nebraska Municipal vs. Aqr Global Macro |
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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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