Correlation Between Harvest Tech and First Trust
Can any of the company-specific risk be diversified away by investing in both Harvest Tech 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 Harvest Tech and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harvest Tech Achievers and First Trust AlphaDEX, you can compare the effects of market volatilities on Harvest Tech 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 Harvest Tech with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harvest Tech and First Trust.
Diversification Opportunities for Harvest Tech and First Trust
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Harvest and First is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Harvest Tech Achievers and First Trust AlphaDEX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust AlphaDEX and Harvest Tech 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 Harvest Tech Achievers 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 AlphaDEX has no effect on the direction of Harvest Tech i.e., Harvest Tech and First Trust go up and down completely randomly.
Pair Corralation between Harvest Tech and First Trust
Assuming the 90 days trading horizon Harvest Tech is expected to generate 2.76 times less return on investment than First Trust. In addition to that, Harvest Tech is 1.57 times more volatile than First Trust AlphaDEX. It trades about 0.06 of its total potential returns per unit of risk. First Trust AlphaDEX is currently generating about 0.24 per unit of volatility. If you would invest 4,005 in First Trust AlphaDEX on October 21, 2024 and sell it today you would earn a total of 136.00 from holding First Trust AlphaDEX or generate 3.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Harvest Tech Achievers vs. First Trust AlphaDEX
Performance |
Timeline |
Harvest Tech Achievers |
First Trust AlphaDEX |
Harvest Tech and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Harvest Tech and First Trust
The main advantage of trading using opposite Harvest Tech and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harvest Tech 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.Harvest Tech vs. BMO Covered Call | Harvest Tech vs. BMO Equal Weight | Harvest Tech vs. iShares SPTSX Capped | Harvest Tech vs. BMO Equal Weight |
First Trust vs. BMO Covered Call | First Trust vs. BMO Equal Weight | First Trust vs. iShares SPTSX Capped | First Trust vs. BMO Equal Weight |
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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