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
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nebraska and Power is 0.6. 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 generate 0.8 times more return on investment than Power Income. However, Nebraska Municipal Fund is 1.26 times less risky than Power Income. It trades about -0.34 of its potential returns per unit of risk. Power Income Fund is currently generating about -0.48 per unit of risk. If you would invest 945.00 in Nebraska Municipal Fund on October 8, 2024 and sell it today you would lose (17.00) from holding Nebraska Municipal Fund or give up 1.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
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. Transamerica Capital Growth | Nebraska Municipal vs. Needham Aggressive Growth | Nebraska Municipal vs. Small Pany Growth | Nebraska Municipal vs. Mid Cap Growth |
Power Income vs. Blackrock Strategic Income | Power Income vs. Blackrock Strategic Opps | Power Income vs. Blackrock Strategic Opps | Power Income vs. Jpmorgan Strategic Income |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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