Correlation Between SBI Insurance and Check Point
Can any of the company-specific risk be diversified away by investing in both SBI Insurance 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 SBI Insurance and Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Insurance Group and Check Point Software, you can compare the effects of market volatilities on SBI Insurance 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 SBI Insurance with a short position of Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and Check Point.
Diversification Opportunities for SBI Insurance and Check Point
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SBI and Check is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group 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 SBI Insurance 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 SBI Insurance Group 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 SBI Insurance i.e., SBI Insurance and Check Point go up and down completely randomly.
Pair Corralation between SBI Insurance and Check Point
Assuming the 90 days trading horizon SBI Insurance Group is expected to generate 1.19 times more return on investment than Check Point. However, SBI Insurance is 1.19 times more volatile than Check Point Software. It trades about 0.26 of its potential returns per unit of risk. Check Point Software is currently generating about 0.24 per unit of risk. If you would invest 550.00 in SBI Insurance Group on October 6, 2024 and sell it today you would earn a total of 100.00 from holding SBI Insurance Group or generate 18.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Insurance Group vs. Check Point Software
Performance |
Timeline |
SBI Insurance Group |
Check Point Software |
SBI Insurance and Check Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Insurance and Check Point
The main advantage of trading using opposite SBI Insurance and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance 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.SBI Insurance vs. Wyndham Hotels Resorts | SBI Insurance vs. Summit Hotel Properties | SBI Insurance vs. PEPTONIC MEDICAL | SBI Insurance vs. Host Hotels Resorts |
Check Point vs. PREMIER FOODS | Check Point vs. CeoTronics AG | Check Point vs. Corporate Travel Management | Check Point vs. Tyson Foods |
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 Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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