Correlation Between GBX International and Dow Jones
Can any of the company-specific risk be diversified away by investing in both GBX International and Dow Jones 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 GBX International and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GBX International Group and Dow Jones Industrial, you can compare the effects of market volatilities on GBX International and Dow Jones 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 GBX International with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of GBX International and Dow Jones.
Diversification Opportunities for GBX International and Dow Jones
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GBX and Dow is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding GBX International Group and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and GBX International 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 GBX International Group are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of GBX International i.e., GBX International and Dow Jones go up and down completely randomly.
Pair Corralation between GBX International and Dow Jones
Given the investment horizon of 90 days GBX International Group is expected to generate 128.88 times more return on investment than Dow Jones. However, GBX International is 128.88 times more volatile than Dow Jones Industrial. It trades about 0.09 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of risk. If you would invest 6.90 in GBX International Group on September 23, 2024 and sell it today you would lose (6.88) from holding GBX International Group or give up 99.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
GBX International Group vs. Dow Jones Industrial
Performance |
Timeline |
GBX International and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
GBX International Group
Pair trading matchups for GBX International
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with GBX International and Dow Jones
The main advantage of trading using opposite GBX International and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GBX International position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.GBX International vs. INEO Tech Corp | GBX International vs. Marchex | GBX International vs. Snipp Interactive | GBX International vs. Emerald Expositions Events |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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