Correlation Between IShares Lithium and Dow Jones
Can any of the company-specific risk be diversified away by investing in both IShares Lithium 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 IShares Lithium and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Lithium Miners and Dow Jones Industrial, you can compare the effects of market volatilities on IShares Lithium 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 IShares Lithium with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Lithium and Dow Jones.
Diversification Opportunities for IShares Lithium and Dow Jones
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between IShares and Dow is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding iShares Lithium Miners 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 IShares Lithium 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 iShares Lithium Miners 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 IShares Lithium i.e., IShares Lithium and Dow Jones go up and down completely randomly.
Pair Corralation between IShares Lithium and Dow Jones
Given the investment horizon of 90 days IShares Lithium is expected to generate 1.3 times less return on investment than Dow Jones. In addition to that, IShares Lithium is 1.98 times more volatile than Dow Jones Industrial. It trades about 0.14 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.36 per unit of volatility. If you would invest 4,254,422 in Dow Jones Industrial on November 1, 2024 and sell it today you would earn a total of 216,930 from holding Dow Jones Industrial or generate 5.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.0% |
| Values | Daily Returns |
iShares Lithium Miners vs. Dow Jones Industrial
Performance |
| Timeline |
IShares Lithium and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
iShares Lithium Miners
Pair trading matchups for IShares Lithium
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with IShares Lithium and Dow Jones
The main advantage of trading using opposite IShares Lithium and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Lithium 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.| IShares Lithium vs. Mast Global Battery | IShares Lithium vs. Materials Select Sector | IShares Lithium vs. Vanguard Materials Index | IShares Lithium vs. SPDR SP Metals |
| Dow Jones vs. WEC Energy Group | Dow Jones vs. Pure Cycle | Dow Jones vs. Tandy Leather Factory | Dow Jones vs. Tapestry |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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