Correlation Between IShares NASDAQ and IShares ESG
Can any of the company-specific risk be diversified away by investing in both IShares NASDAQ and IShares ESG 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 NASDAQ and IShares ESG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares NASDAQ 100 and iShares ESG Advanced, you can compare the effects of market volatilities on IShares NASDAQ and IShares ESG 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 NASDAQ with a short position of IShares ESG. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares NASDAQ and IShares ESG.
Diversification Opportunities for IShares NASDAQ and IShares ESG
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IShares and IShares is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding iShares NASDAQ 100 and iShares ESG Advanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares ESG Advanced and IShares NASDAQ 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 NASDAQ 100 are associated (or correlated) with IShares ESG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares ESG Advanced has no effect on the direction of IShares NASDAQ i.e., IShares NASDAQ and IShares ESG go up and down completely randomly.
Pair Corralation between IShares NASDAQ and IShares ESG
Assuming the 90 days trading horizon iShares NASDAQ 100 is expected to under-perform the IShares ESG. In addition to that, IShares NASDAQ is 1.1 times more volatile than iShares ESG Advanced. It trades about -0.1 of its total potential returns per unit of risk. iShares ESG Advanced is currently generating about -0.06 per unit of volatility. If you would invest 9,197 in iShares ESG Advanced on December 28, 2024 and sell it today you would lose (489.00) from holding iShares ESG Advanced or give up 5.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.41% |
Values | Daily Returns |
iShares NASDAQ 100 vs. iShares ESG Advanced
Performance |
Timeline |
iShares NASDAQ 100 |
iShares ESG Advanced |
IShares NASDAQ and IShares ESG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares NASDAQ and IShares ESG
The main advantage of trading using opposite IShares NASDAQ and IShares ESG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares NASDAQ position performs unexpectedly, IShares ESG 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 ESG will offset losses from the drop in IShares ESG's long position.IShares NASDAQ vs. iShares Core SP | IShares NASDAQ vs. iShares SPTSX Capped | IShares NASDAQ vs. BMO NASDAQ 100 | IShares NASDAQ vs. Vanguard SP 500 |
IShares ESG vs. iShares ESG Advanced | IShares ESG vs. iShares ESG Advanced | IShares ESG vs. iShares ESG Equity | IShares ESG vs. iShares ESG Aware |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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