Correlation Between SBI Insurance and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both SBI Insurance and STMicroelectronics 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 STMicroelectronics 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 STMicroelectronics NV, you can compare the effects of market volatilities on SBI Insurance and STMicroelectronics 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 STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and STMicroelectronics.
Diversification Opportunities for SBI Insurance and STMicroelectronics
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SBI and STMicroelectronics is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics 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 STMicroelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMicroelectronics has no effect on the direction of SBI Insurance i.e., SBI Insurance and STMicroelectronics go up and down completely randomly.
Pair Corralation between SBI Insurance and STMicroelectronics
Assuming the 90 days trading horizon SBI Insurance Group is expected to generate 0.67 times more return on investment than STMicroelectronics. However, SBI Insurance Group is 1.48 times less risky than STMicroelectronics. It trades about 0.12 of its potential returns per unit of risk. STMicroelectronics NV is currently generating about -0.06 per unit of risk. If you would invest 570.00 in SBI Insurance Group on September 5, 2024 and sell it today you would earn a total of 65.00 from holding SBI Insurance Group or generate 11.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Insurance Group vs. STMicroelectronics NV
Performance |
Timeline |
SBI Insurance Group |
STMicroelectronics |
SBI Insurance and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Insurance and STMicroelectronics
The main advantage of trading using opposite SBI Insurance and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance position performs unexpectedly, STMicroelectronics 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 STMicroelectronics will offset losses from the drop in STMicroelectronics' long position.SBI Insurance vs. YATRA ONLINE DL 0001 | SBI Insurance vs. Khiron Life Sciences | SBI Insurance vs. RELIANCE STEEL AL | SBI Insurance vs. MITSUBISHI STEEL MFG |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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