Correlation Between First Trust and IShares SP
Can any of the company-specific risk be diversified away by investing in both First Trust and IShares SP 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 First Trust and IShares SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Equity and iShares SP Mid Cap, you can compare the effects of market volatilities on First Trust and IShares SP 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 First Trust with a short position of IShares SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and IShares SP.
Diversification Opportunities for First Trust and IShares SP
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and IShares is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Equity and iShares SP Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares SP Mid and First Trust 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 First Trust Equity are associated (or correlated) with IShares SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares SP Mid has no effect on the direction of First Trust i.e., First Trust and IShares SP go up and down completely randomly.
Pair Corralation between First Trust and IShares SP
Considering the 90-day investment horizon First Trust Equity is expected to generate 1.78 times more return on investment than IShares SP. However, First Trust is 1.78 times more volatile than iShares SP Mid Cap. It trades about 0.31 of its potential returns per unit of risk. iShares SP Mid Cap is currently generating about 0.19 per unit of risk. If you would invest 12,195 in First Trust Equity on November 8, 2024 and sell it today you would earn a total of 1,387 from holding First Trust Equity or generate 11.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Trust Equity vs. iShares SP Mid Cap
Performance |
| Timeline |
| First Trust Equity |
| iShares SP Mid |
First Trust and IShares SP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and IShares SP
The main advantage of trading using opposite First Trust and IShares SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, IShares SP 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 SP will offset losses from the drop in IShares SP's long position.| First Trust vs. Invesco SP Spin Off | First Trust vs. Renaissance IPO ETF | First Trust vs. First Trust NYSE | First Trust vs. Invesco BuyBack Achievers |
| IShares SP vs. JPMorgan Fundamental Data | IShares SP vs. Davis Select International | IShares SP vs. Dimensional ETF Trust | IShares SP vs. Principal Value ETF |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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