Correlation Between PowerShares and Dow Jones
Can any of the company-specific risk be diversified away by investing in both PowerShares 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 PowerShares and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PowerShares DB Crude and Dow Jones Industrial, you can compare the effects of market volatilities on PowerShares 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 PowerShares with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of PowerShares and Dow Jones.
Diversification Opportunities for PowerShares and Dow Jones
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between PowerShares and Dow is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding PowerShares DB Crude 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 PowerShares 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 PowerShares DB Crude 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 PowerShares i.e., PowerShares and Dow Jones go up and down completely randomly.
Pair Corralation between PowerShares and Dow Jones
If you would invest 4,160,618 in Dow Jones Industrial on September 17, 2024 and sell it today you would earn a total of 222,188 from holding Dow Jones Industrial or generate 5.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
PowerShares DB Crude vs. Dow Jones Industrial
Performance |
Timeline |
PowerShares and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
PowerShares DB Crude
Pair trading matchups for PowerShares
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with PowerShares and Dow Jones
The main advantage of trading using opposite PowerShares and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PowerShares 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.The idea behind PowerShares DB Crude and Dow Jones Industrial pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Dow Jones vs. Awilco Drilling PLC | Dow Jones vs. Dine Brands Global | Dow Jones vs. Meli Hotels International | Dow Jones vs. Boyd Gaming |
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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