Correlation Between Jackson Financial and Real Luck
Can any of the company-specific risk be diversified away by investing in both Jackson Financial and Real Luck 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 Real Luck into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jackson Financial and Real Luck Group, you can compare the effects of market volatilities on Jackson Financial and Real Luck 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 Real Luck. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jackson Financial and Real Luck.
Diversification Opportunities for Jackson Financial and Real Luck
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jackson and Real is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Jackson Financial and Real Luck Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Luck Group 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 Real Luck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Luck Group has no effect on the direction of Jackson Financial i.e., Jackson Financial and Real Luck go up and down completely randomly.
Pair Corralation between Jackson Financial and Real Luck
Assuming the 90 days trading horizon Jackson Financial is expected to generate 80.61 times less return on investment than Real Luck. But when comparing it to its historical volatility, Jackson Financial is 60.89 times less risky than Real Luck. It trades about 0.05 of its potential returns per unit of risk. Real Luck Group is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 8.99 in Real Luck Group on September 4, 2024 and sell it today you would lose (8.82) from holding Real Luck Group or give up 98.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 88.91% |
Values | Daily Returns |
Jackson Financial vs. Real Luck Group
Performance |
Timeline |
Jackson Financial |
Real Luck Group |
Jackson Financial and Real Luck Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jackson Financial and Real Luck
The main advantage of trading using opposite Jackson Financial and Real Luck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jackson Financial position performs unexpectedly, Real Luck 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 Real Luck will offset losses from the drop in Real Luck's long position.Jackson Financial vs. Asure Software | Jackson Financial vs. Assurant | Jackson Financial vs. Sun Life Financial | Jackson Financial vs. GoHealth |
Real Luck vs. Everi Holdings | Real Luck vs. Intema Solutions | Real Luck vs. Light Wonder | Real Luck vs. International Game Technology |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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