Correlation Between Nebraska Municipal and Gmo Resources
Can any of the company-specific risk be diversified away by investing in both Nebraska Municipal and Gmo Resources 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 Gmo Resources 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 Gmo Resources, you can compare the effects of market volatilities on Nebraska Municipal and Gmo Resources 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 Gmo Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nebraska Municipal and Gmo Resources.
Diversification Opportunities for Nebraska Municipal and Gmo Resources
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Nebraska and Gmo is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Nebraska Municipal Fund and Gmo Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Resources 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 Gmo Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Resources has no effect on the direction of Nebraska Municipal i.e., Nebraska Municipal and Gmo Resources go up and down completely randomly.
Pair Corralation between Nebraska Municipal and Gmo Resources
Assuming the 90 days horizon Nebraska Municipal Fund is expected to generate 0.21 times more return on investment than Gmo Resources. However, Nebraska Municipal Fund is 4.79 times less risky than Gmo Resources. It trades about -0.09 of its potential returns per unit of risk. Gmo Resources is currently generating about -0.03 per unit of risk. If you would invest 917.00 in Nebraska Municipal Fund on December 29, 2024 and sell it today you would lose (13.00) from holding Nebraska Municipal Fund or give up 1.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Nebraska Municipal Fund vs. Gmo Resources
Performance |
Timeline |
Nebraska Municipal |
Gmo Resources |
Nebraska Municipal and Gmo Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nebraska Municipal and Gmo Resources
The main advantage of trading using opposite Nebraska Municipal and Gmo Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nebraska Municipal position performs unexpectedly, Gmo Resources 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 Gmo Resources will offset losses from the drop in Gmo Resources' long position.Nebraska Municipal vs. Ultraemerging Markets Profund | Nebraska Municipal vs. Saat Moderate Strategy | Nebraska Municipal vs. Boston Partners Emerging | Nebraska Municipal vs. Siit Emerging Markets |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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