Correlation Between Dow Jones and Vestas Wind
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Vestas Wind 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 Vestas Wind 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 Vestas Wind Systems, you can compare the effects of market volatilities on Dow Jones and Vestas Wind 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 Vestas Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Vestas Wind.
Diversification Opportunities for Dow Jones and Vestas Wind
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Dow and Vestas is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Vestas Wind Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vestas Wind Systems 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 Vestas Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vestas Wind Systems has no effect on the direction of Dow Jones i.e., Dow Jones and Vestas Wind go up and down completely randomly.
Pair Corralation between Dow Jones and Vestas Wind
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.24 times more return on investment than Vestas Wind. However, Dow Jones Industrial is 4.19 times less risky than Vestas Wind. It trades about 0.26 of its potential returns per unit of risk. Vestas Wind Systems is currently generating about -0.35 per unit of risk. If you would invest 4,238,757 in Dow Jones Industrial on August 27, 2024 and sell it today you would earn a total of 234,900 from holding Dow Jones Industrial or generate 5.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. Vestas Wind Systems
Performance |
| Timeline |
Dow Jones and Vestas Wind Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Vestas Wind Systems
Pair trading matchups for Vestas Wind
Pair Trading with Dow Jones and Vestas Wind
The main advantage of trading using opposite Dow Jones and Vestas Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Vestas Wind 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 Vestas Wind will offset losses from the drop in Vestas Wind's long position.| Dow Jones vs. Meiwu Technology Co | Dow Jones vs. 17 Education Technology | Dow Jones vs. 51Talk Online Education | Dow Jones vs. Afya |
| Vestas Wind vs. Kone Oyj ADR | Vestas Wind vs. Schneider Electric SE | Vestas Wind vs. Schneider Electric SA | Vestas Wind vs. Fanuc |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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