Correlation Between First Trust and IShares Micro
Can any of the company-specific risk be diversified away by investing in both First Trust and IShares Micro 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 Micro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Dow and iShares Micro Cap ETF, you can compare the effects of market volatilities on First Trust and IShares Micro 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 Micro. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and IShares Micro.
Diversification Opportunities for First Trust and IShares Micro
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and IShares is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dow and iShares Micro Cap ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Micro Cap 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 Dow are associated (or correlated) with IShares Micro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Micro Cap has no effect on the direction of First Trust i.e., First Trust and IShares Micro go up and down completely randomly.
Pair Corralation between First Trust and IShares Micro
Considering the 90-day investment horizon First Trust Dow is expected to generate 1.01 times more return on investment than IShares Micro. However, First Trust is 1.01 times more volatile than iShares Micro Cap ETF. It trades about 0.18 of its potential returns per unit of risk. iShares Micro Cap ETF is currently generating about 0.18 per unit of risk. If you would invest 6,202 in First Trust Dow on September 4, 2024 and sell it today you would earn a total of 1,085 from holding First Trust Dow or generate 17.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Dow vs. iShares Micro Cap ETF
Performance |
Timeline |
First Trust Dow |
iShares Micro Cap |
First Trust and IShares Micro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and IShares Micro
The main advantage of trading using opposite First Trust and IShares Micro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, IShares Micro 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 Micro will offset losses from the drop in IShares Micro's long position.First Trust vs. iShares Micro Cap ETF | First Trust vs. Invesco SP MidCap | First Trust vs. Invesco SP SmallCap | First Trust vs. First Trust Small |
IShares Micro vs. iShares SP Small Cap | IShares Micro vs. iShares SP Small Cap | IShares Micro vs. iShares SP Mid Cap | IShares Micro vs. iShares Russell 1000 |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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