Correlation Between First Asset and Harvest Tech
Can any of the company-specific risk be diversified away by investing in both First Asset and Harvest Tech 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 Asset and Harvest Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Asset Tech and Harvest Tech Achievers, you can compare the effects of market volatilities on First Asset and Harvest Tech 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 Asset with a short position of Harvest Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Asset and Harvest Tech.
Diversification Opportunities for First Asset and Harvest Tech
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and Harvest is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding First Asset Tech and Harvest Tech Achievers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harvest Tech Achievers and First Asset 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 Asset Tech are associated (or correlated) with Harvest Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harvest Tech Achievers has no effect on the direction of First Asset i.e., First Asset and Harvest Tech go up and down completely randomly.
Pair Corralation between First Asset and Harvest Tech
Assuming the 90 days trading horizon First Asset Tech is expected to generate 1.06 times more return on investment than Harvest Tech. However, First Asset is 1.06 times more volatile than Harvest Tech Achievers. It trades about 0.11 of its potential returns per unit of risk. Harvest Tech Achievers is currently generating about 0.12 per unit of risk. If you would invest 1,123 in First Asset Tech on September 22, 2024 and sell it today you would earn a total of 1,047 from holding First Asset Tech or generate 93.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.8% |
Values | Daily Returns |
First Asset Tech vs. Harvest Tech Achievers
Performance |
Timeline |
First Asset Tech |
Harvest Tech Achievers |
First Asset and Harvest Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Asset and Harvest Tech
The main advantage of trading using opposite First Asset and Harvest Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Asset position performs unexpectedly, Harvest Tech 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 Harvest Tech will offset losses from the drop in Harvest Tech's long position.First Asset vs. First Asset Energy | First Asset vs. CI Gold Giants | First Asset vs. Harvest Healthcare Leaders | First Asset vs. Hamilton Enhanced Multi Sector |
Harvest Tech vs. First Asset Tech | Harvest Tech vs. Harvest Equal Weight | Harvest Tech vs. First Asset Energy | Harvest Tech vs. BMO Covered Call |
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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