Correlation Between Dow Jones and Calvert Global
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Calvert Global 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 Calvert Global 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 Calvert Global Energy, you can compare the effects of market volatilities on Dow Jones and Calvert Global 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 Calvert Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Calvert Global.
Diversification Opportunities for Dow Jones and Calvert Global
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and Calvert is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Calvert Global Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calvert Global 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 Calvert Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calvert Global Energy has no effect on the direction of Dow Jones i.e., Dow Jones and Calvert Global go up and down completely randomly.
Pair Corralation between Dow Jones and Calvert Global
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Calvert Global. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.05 times less risky than Calvert Global. The index trades about -0.29 of its potential returns per unit of risk. The Calvert Global Energy is currently generating about -0.27 of returns per unit of risk over similar time horizon. If you would invest 1,028 in Calvert Global Energy on September 25, 2024 and sell it today you would lose (43.00) from holding Calvert Global Energy or give up 4.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Dow Jones Industrial vs. Calvert Global Energy
Performance |
Timeline |
Dow Jones and Calvert Global Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Calvert Global Energy
Pair trading matchups for Calvert Global
Pair Trading with Dow Jones and Calvert Global
The main advantage of trading using opposite Dow Jones and Calvert Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Calvert Global 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 Calvert Global will offset losses from the drop in Calvert Global'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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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