Correlation Between Dow Jones and IShares JP
Can any of the company-specific risk be diversified away by investing in both Dow Jones and IShares JP 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 JP 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 JP Morgan, you can compare the effects of market volatilities on Dow Jones and IShares JP 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 JP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and IShares JP.
Diversification Opportunities for Dow Jones and IShares JP
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dow and IShares is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and iShares JP Morgan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares JP Morgan 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 JP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares JP Morgan has no effect on the direction of Dow Jones i.e., Dow Jones and IShares JP go up and down completely randomly.
Pair Corralation between Dow Jones and IShares JP
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 2.2 times more return on investment than IShares JP. However, Dow Jones is 2.2 times more volatile than iShares JP Morgan. It trades about 0.35 of its potential returns per unit of risk. iShares JP Morgan is currently generating about 0.18 per unit of risk. If you would invest 4,179,460 in Dow Jones Industrial on September 4, 2024 and sell it today you would earn a total of 291,093 from holding Dow Jones Industrial or generate 6.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Dow Jones Industrial vs. iShares JP Morgan
Performance |
Timeline |
Dow Jones and IShares JP Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
iShares JP Morgan
Pair trading matchups for IShares JP
Pair Trading with Dow Jones and IShares JP
The main advantage of trading using opposite Dow Jones and IShares JP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, IShares JP 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 JP will offset losses from the drop in IShares JP's long position.Dow Jones vs. Gentex | Dow Jones vs. American Axle Manufacturing | Dow Jones vs. Pearson PLC ADR | Dow Jones vs. Marine Products |
IShares JP vs. BMO High Yield | IShares JP vs. BMO Mid Corporate | IShares JP vs. BMO Long Corporate | IShares JP vs. BMO Short Provincial |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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