Correlation Between QBE Insurance and STMICROELECTRONICS
Can any of the company-specific risk be diversified away by investing in both QBE 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 QBE Insurance and STMICROELECTRONICS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QBE Insurance Group and STMICROELECTRONICS, you can compare the effects of market volatilities on QBE 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 QBE Insurance with a short position of STMICROELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and STMICROELECTRONICS.
Diversification Opportunities for QBE Insurance and STMICROELECTRONICS
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between QBE and STMICROELECTRONICS is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group and STMICROELECTRONICS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMICROELECTRONICS and QBE 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 QBE 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 QBE Insurance i.e., QBE Insurance and STMICROELECTRONICS go up and down completely randomly.
Pair Corralation between QBE Insurance and STMICROELECTRONICS
Assuming the 90 days horizon QBE Insurance Group is expected to generate 0.69 times more return on investment than STMICROELECTRONICS. However, QBE Insurance Group is 1.44 times less risky than STMICROELECTRONICS. It trades about 0.27 of its potential returns per unit of risk. STMICROELECTRONICS is currently generating about -0.05 per unit of risk. If you would invest 965.00 in QBE Insurance Group on September 5, 2024 and sell it today you would earn a total of 255.00 from holding QBE Insurance Group or generate 26.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
QBE Insurance Group vs. STMICROELECTRONICS
Performance |
Timeline |
QBE Insurance Group |
STMICROELECTRONICS |
QBE Insurance and STMICROELECTRONICS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QBE Insurance and STMICROELECTRONICS
The main advantage of trading using opposite QBE Insurance and STMICROELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE 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's long position.QBE Insurance vs. The Progressive | QBE Insurance vs. The Allstate | QBE Insurance vs. PICC Property and | QBE Insurance vs. Fairfax Financial Holdings |
STMICROELECTRONICS vs. TOTAL GABON | STMICROELECTRONICS vs. Walgreens Boots Alliance | STMICROELECTRONICS vs. Peak Resources Limited |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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