Correlation Between Qbe Insurance and Premier Investments
Can any of the company-specific risk be diversified away by investing in both Qbe Insurance and Premier Investments 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 Premier Investments 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 Premier Investments, you can compare the effects of market volatilities on Qbe Insurance and Premier Investments 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 Premier Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qbe Insurance and Premier Investments.
Diversification Opportunities for Qbe Insurance and Premier Investments
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Qbe and Premier is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Qbe Insurance Group and Premier Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premier Investments 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 Premier Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premier Investments has no effect on the direction of Qbe Insurance i.e., Qbe Insurance and Premier Investments go up and down completely randomly.
Pair Corralation between Qbe Insurance and Premier Investments
Assuming the 90 days trading horizon Qbe Insurance Group is expected to generate 0.26 times more return on investment than Premier Investments. However, Qbe Insurance Group is 3.77 times less risky than Premier Investments. It trades about 0.04 of its potential returns per unit of risk. Premier Investments is currently generating about -0.1 per unit of risk. If you would invest 1,958 in Qbe Insurance Group on November 19, 2024 and sell it today you would earn a total of 53.00 from holding Qbe Insurance Group or generate 2.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Qbe Insurance Group vs. Premier Investments
Performance |
Timeline |
Qbe Insurance Group |
Premier Investments |
Qbe Insurance and Premier Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qbe Insurance and Premier Investments
The main advantage of trading using opposite Qbe Insurance and Premier Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qbe Insurance position performs unexpectedly, Premier Investments 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 Premier Investments will offset losses from the drop in Premier Investments' long position.Qbe Insurance vs. MFF Capital Investments | Qbe Insurance vs. EMvision Medical Devices | Qbe Insurance vs. Sandon Capital Investments | Qbe Insurance vs. Argo Investments |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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