Correlation Between Jupiter Fund and Check Point
Can any of the company-specific risk be diversified away by investing in both Jupiter Fund and Check Point 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 Jupiter Fund and Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jupiter Fund Management and Check Point Software, you can compare the effects of market volatilities on Jupiter Fund and Check Point 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 Jupiter Fund with a short position of Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jupiter Fund and Check Point.
Diversification Opportunities for Jupiter Fund and Check Point
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jupiter and Check is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Jupiter Fund Management and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software and Jupiter Fund 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 Jupiter Fund Management are associated (or correlated) with Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of Jupiter Fund i.e., Jupiter Fund and Check Point go up and down completely randomly.
Pair Corralation between Jupiter Fund and Check Point
Assuming the 90 days horizon Jupiter Fund Management is expected to under-perform the Check Point. In addition to that, Jupiter Fund is 1.61 times more volatile than Check Point Software. It trades about -0.02 of its total potential returns per unit of risk. Check Point Software is currently generating about 0.0 per unit of volatility. If you would invest 17,805 in Check Point Software on October 8, 2024 and sell it today you would lose (15.00) from holding Check Point Software or give up 0.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jupiter Fund Management vs. Check Point Software
Performance |
Timeline |
Jupiter Fund Management |
Check Point Software |
Jupiter Fund and Check Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jupiter Fund and Check Point
The main advantage of trading using opposite Jupiter Fund and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jupiter Fund position performs unexpectedly, Check Point 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 Check Point will offset losses from the drop in Check Point's long position.Jupiter Fund vs. Ares Management Corp | Jupiter Fund vs. Superior Plus Corp | Jupiter Fund vs. NMI Holdings | Jupiter Fund vs. SIVERS SEMICONDUCTORS AB |
Check Point vs. ARDAGH METAL PACDL 0001 | Check Point vs. Perseus Mining Limited | Check Point vs. ON SEMICONDUCTOR | Check Point vs. INDUSTRIAL MINERALS LTD |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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