Correlation Between Dow Jones and Schneider Electric
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Schneider Electric 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 Schneider Electric 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 Schneider Electric SE, you can compare the effects of market volatilities on Dow Jones and Schneider Electric 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 Schneider Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Schneider Electric.
Diversification Opportunities for Dow Jones and Schneider Electric
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Schneider is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Schneider Electric SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schneider Electric 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 Schneider Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schneider Electric has no effect on the direction of Dow Jones i.e., Dow Jones and Schneider Electric go up and down completely randomly.
Pair Corralation between Dow Jones and Schneider Electric
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.49 times more return on investment than Schneider Electric. However, Dow Jones Industrial is 2.04 times less risky than Schneider Electric. It trades about 0.19 of its potential returns per unit of risk. Schneider Electric SE is currently generating about 0.08 per unit of risk. If you would invest 4,093,693 in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of 384,507 from holding Dow Jones Industrial or generate 9.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Dow Jones Industrial vs. Schneider Electric SE
Performance |
Timeline |
Dow Jones and Schneider Electric Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Schneider Electric SE
Pair trading matchups for Schneider Electric
Pair Trading with Dow Jones and Schneider Electric
The main advantage of trading using opposite Dow Jones and Schneider Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Schneider Electric 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 Schneider Electric will offset losses from the drop in Schneider Electric's long position.Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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