Correlation Between Dow Jones and IShares Edge
Can any of the company-specific risk be diversified away by investing in both Dow Jones and IShares Edge 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 IShares Edge 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 iShares Edge MSCI, you can compare the effects of market volatilities on Dow Jones and IShares Edge 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 IShares Edge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and IShares Edge.
Diversification Opportunities for Dow Jones and IShares Edge
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and IShares is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and iShares Edge MSCI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Edge MSCI 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 IShares Edge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Edge MSCI has no effect on the direction of Dow Jones i.e., Dow Jones and IShares Edge go up and down completely randomly.
Pair Corralation between Dow Jones and IShares Edge
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the IShares Edge. In addition to that, Dow Jones is 1.24 times more volatile than iShares Edge MSCI. It trades about -0.27 of its total potential returns per unit of risk. iShares Edge MSCI is currently generating about -0.21 per unit of volatility. If you would invest 2,781 in iShares Edge MSCI on October 7, 2024 and sell it today you would lose (72.00) from holding iShares Edge MSCI or give up 2.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Dow Jones Industrial vs. iShares Edge MSCI
Performance |
Timeline |
Dow Jones and IShares Edge Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
iShares Edge MSCI
Pair trading matchups for IShares Edge
Pair Trading with Dow Jones and IShares Edge
The main advantage of trading using opposite Dow Jones and IShares Edge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, IShares Edge 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 IShares Edge will offset losses from the drop in IShares Edge's long position.Dow Jones vs. NetSol Technologies | Dow Jones vs. Q2 Holdings | Dow Jones vs. Weyco Group | Dow Jones vs. Newell Brands |
IShares Edge vs. iShares MSCI Intl | IShares Edge vs. iShares MSCI Intl | IShares Edge vs. iShares MSCI Emerging | IShares Edge vs. iShares Edge MSCI |
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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