Correlation Between Industrial Select and First Trust
Can any of the company-specific risk be diversified away by investing in both Industrial Select and First Trust 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 Industrial Select and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Industrial Select Sector and First Trust Health, you can compare the effects of market volatilities on Industrial Select and First Trust 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 Industrial Select with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Industrial Select and First Trust.
Diversification Opportunities for Industrial Select and First Trust
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Industrial and First is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Industrial Select Sector and First Trust Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Health and Industrial Select 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 Industrial Select Sector are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Health has no effect on the direction of Industrial Select i.e., Industrial Select and First Trust go up and down completely randomly.
Pair Corralation between Industrial Select and First Trust
Considering the 90-day investment horizon Industrial Select Sector is expected to generate 1.06 times more return on investment than First Trust. However, Industrial Select is 1.06 times more volatile than First Trust Health. It trades about 0.07 of its potential returns per unit of risk. First Trust Health is currently generating about 0.01 per unit of risk. If you would invest 8,864 in Industrial Select Sector on January 31, 2024 and sell it today you would earn a total of 3,484 from holding Industrial Select Sector or generate 39.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Industrial Select Sector vs. First Trust Health
Performance |
Timeline |
Industrial Select Sector |
First Trust Health |
Industrial Select and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Industrial Select and First Trust
The main advantage of trading using opposite Industrial Select and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Industrial Select position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.Industrial Select vs. iShares Telecommunications ETF | Industrial Select vs. iShares Basic Materials | Industrial Select vs. iShares Consumer Discretionary | Industrial Select vs. iShares Real Estate |
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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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