Correlation Between Dow Jones and Brookside Energy
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Brookside Energy 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 Dow Jones and Brookside Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Brookside Energy, you can compare the effects of market volatilities on Dow Jones and Brookside Energy 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 Dow Jones with a short position of Brookside Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Brookside Energy.
Diversification Opportunities for Dow Jones and Brookside Energy
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Dow and Brookside is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Brookside Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brookside Energy and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Brookside Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brookside Energy has no effect on the direction of Dow Jones i.e., Dow Jones and Brookside Energy go up and down completely randomly.
Pair Corralation between Dow Jones and Brookside Energy
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.44 times more return on investment than Brookside Energy. However, Dow Jones Industrial is 2.26 times less risky than Brookside Energy. It trades about -0.29 of its potential returns per unit of risk. Brookside Energy is currently generating about -0.31 per unit of risk. If you would invest 4,473,657 in Dow Jones Industrial on September 25, 2024 and sell it today you would lose (182,962) from holding Dow Jones Industrial or give up 4.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Dow Jones Industrial vs. Brookside Energy
Performance |
Timeline |
Dow Jones and Brookside Energy Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Brookside Energy
Pair trading matchups for Brookside Energy
Pair Trading with Dow Jones and Brookside Energy
The main advantage of trading using opposite Dow Jones and Brookside Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Brookside Energy 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 Brookside Energy will offset losses from the drop in Brookside Energy's long position.Dow Jones vs. Aerofoam Metals | Dow Jones vs. Lion One Metals | Dow Jones vs. Blue Moon Metals | Dow Jones vs. Xunlei Ltd Adr |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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