Correlation Between Jackson Financial and Agrify Corp
Can any of the company-specific risk be diversified away by investing in both Jackson Financial and Agrify Corp 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 Jackson Financial and Agrify Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jackson Financial and Agrify Corp, you can compare the effects of market volatilities on Jackson Financial and Agrify Corp 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 Jackson Financial with a short position of Agrify Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jackson Financial and Agrify Corp.
Diversification Opportunities for Jackson Financial and Agrify Corp
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Jackson and Agrify is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Jackson Financial and Agrify Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agrify Corp and Jackson Financial 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 Jackson Financial are associated (or correlated) with Agrify Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agrify Corp has no effect on the direction of Jackson Financial i.e., Jackson Financial and Agrify Corp go up and down completely randomly.
Pair Corralation between Jackson Financial and Agrify Corp
Assuming the 90 days trading horizon Jackson Financial is expected to generate 0.09 times more return on investment than Agrify Corp. However, Jackson Financial is 11.35 times less risky than Agrify Corp. It trades about -0.01 of its potential returns per unit of risk. Agrify Corp is currently generating about -0.04 per unit of risk. If you would invest 2,626 in Jackson Financial on December 29, 2024 and sell it today you would lose (14.00) from holding Jackson Financial or give up 0.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jackson Financial vs. Agrify Corp
Performance |
Timeline |
Jackson Financial |
Agrify Corp |
Jackson Financial and Agrify Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jackson Financial and Agrify Corp
The main advantage of trading using opposite Jackson Financial and Agrify Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jackson Financial position performs unexpectedly, Agrify Corp 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 Agrify Corp will offset losses from the drop in Agrify Corp's long position.Jackson Financial vs. Mako Mining Corp | Jackson Financial vs. Columbia Sportswear | Jackson Financial vs. Paiute Oil Mining | Jackson Financial vs. Lands End |
Agrify Corp vs. MYR Group | Agrify Corp vs. Granite Construction Incorporated | Agrify Corp vs. Construction Partners | Agrify Corp vs. Great Lakes Dredge |
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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