Correlation Between Summit Midstream and Brooge Holdings
Can any of the company-specific risk be diversified away by investing in both Summit Midstream and Brooge Holdings 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 Summit Midstream and Brooge Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Midstream Partners and Brooge Holdings, you can compare the effects of market volatilities on Summit Midstream and Brooge Holdings 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 Summit Midstream with a short position of Brooge Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Midstream and Brooge Holdings.
Diversification Opportunities for Summit Midstream and Brooge Holdings
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Summit and Brooge is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Summit Midstream Partners and Brooge Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brooge Holdings and Summit Midstream 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 Summit Midstream Partners are associated (or correlated) with Brooge Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brooge Holdings has no effect on the direction of Summit Midstream i.e., Summit Midstream and Brooge Holdings go up and down completely randomly.
Pair Corralation between Summit Midstream and Brooge Holdings
Given the investment horizon of 90 days Summit Midstream Partners is expected to generate 1.25 times more return on investment than Brooge Holdings. However, Summit Midstream is 1.25 times more volatile than Brooge Holdings. It trades about 0.0 of its potential returns per unit of risk. Brooge Holdings is currently generating about -0.03 per unit of risk. If you would invest 1,623 in Summit Midstream Partners on August 28, 2024 and sell it today you would lose (1,623) from holding Summit Midstream Partners or give up 100.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 76.84% |
Values | Daily Returns |
Summit Midstream Partners vs. Brooge Holdings
Performance |
Timeline |
Summit Midstream Partners |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Brooge Holdings |
Summit Midstream and Brooge Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Midstream and Brooge Holdings
The main advantage of trading using opposite Summit Midstream and Brooge Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Midstream position performs unexpectedly, Brooge Holdings 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 Brooge Holdings will offset losses from the drop in Brooge Holdings' long position.Summit Midstream vs. Genesis Energy LP | Summit Midstream vs. Brooge Holdings | Summit Midstream vs. Hess Midstream Partners | Summit Midstream vs. DT Midstream |
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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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