Correlation Between STMicroelectronics and QBE Insurance
Can any of the company-specific risk be diversified away by investing in both STMicroelectronics and QBE Insurance 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 STMicroelectronics and QBE Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STMicroelectronics NV and QBE Insurance Group, you can compare the effects of market volatilities on STMicroelectronics and QBE Insurance 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 STMicroelectronics with a short position of QBE Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of STMicroelectronics and QBE Insurance.
Diversification Opportunities for STMicroelectronics and QBE Insurance
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between STMicroelectronics and QBE is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding STMicroelectronics NV and QBE Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QBE Insurance Group and STMicroelectronics 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 STMicroelectronics NV are associated (or correlated) with QBE Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QBE Insurance Group has no effect on the direction of STMicroelectronics i.e., STMicroelectronics and QBE Insurance go up and down completely randomly.
Pair Corralation between STMicroelectronics and QBE Insurance
Assuming the 90 days horizon STMicroelectronics NV is expected to under-perform the QBE Insurance. In addition to that, STMicroelectronics is 1.33 times more volatile than QBE Insurance Group. It trades about -0.02 of its total potential returns per unit of risk. QBE Insurance Group is currently generating about 0.24 per unit of volatility. If you would invest 1,030 in QBE Insurance Group on October 6, 2024 and sell it today you would earn a total of 150.00 from holding QBE Insurance Group or generate 14.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STMicroelectronics NV vs. QBE Insurance Group
Performance |
Timeline |
STMicroelectronics |
QBE Insurance Group |
STMicroelectronics and QBE Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STMicroelectronics and QBE Insurance
The main advantage of trading using opposite STMicroelectronics and QBE Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STMicroelectronics position performs unexpectedly, QBE Insurance 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 QBE Insurance will offset losses from the drop in QBE Insurance's long position.STMicroelectronics vs. Titan Machinery | STMicroelectronics vs. TRADELINK ELECTRON | STMicroelectronics vs. AGRICULTBK HADR25 YC | STMicroelectronics vs. Sumitomo Mitsui Construction |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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