Correlation Between NN and Brookfield Business
Can any of the company-specific risk be diversified away by investing in both NN and Brookfield Business 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 NN and Brookfield Business into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NN Inc and Brookfield Business Partners, you can compare the effects of market volatilities on NN and Brookfield Business 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 NN with a short position of Brookfield Business. Check out your portfolio center. Please also check ongoing floating volatility patterns of NN and Brookfield Business.
Diversification Opportunities for NN and Brookfield Business
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between NN and Brookfield is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding NN Inc and Brookfield Business Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brookfield Business and NN 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 NN Inc are associated (or correlated) with Brookfield Business. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brookfield Business has no effect on the direction of NN i.e., NN and Brookfield Business go up and down completely randomly.
Pair Corralation between NN and Brookfield Business
Given the investment horizon of 90 days NN Inc is expected to under-perform the Brookfield Business. In addition to that, NN is 1.91 times more volatile than Brookfield Business Partners. It trades about -0.11 of its total potential returns per unit of risk. Brookfield Business Partners is currently generating about 0.07 per unit of volatility. If you would invest 2,207 in Brookfield Business Partners on December 28, 2024 and sell it today you would earn a total of 175.00 from holding Brookfield Business Partners or generate 7.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NN Inc vs. Brookfield Business Partners
Performance |
Timeline |
NN Inc |
Brookfield Business |
NN and Brookfield Business Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NN and Brookfield Business
The main advantage of trading using opposite NN and Brookfield Business positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NN position performs unexpectedly, Brookfield Business 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 Brookfield Business will offset losses from the drop in Brookfield Business' long position.NN vs. Steel Partners Holdings | NN vs. Compass Diversified | NN vs. Brookfield Business Partners | NN vs. Matthews International |
Brookfield Business vs. Steel Partners Holdings | Brookfield Business vs. Compass Diversified | Brookfield Business vs. Matthews International | Brookfield Business vs. Tejon Ranch Co |
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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