Correlation Between Qbe Insurance and Microequities Asset
Can any of the company-specific risk be diversified away by investing in both Qbe Insurance and Microequities Asset 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 Microequities Asset 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 Microequities Asset Management, you can compare the effects of market volatilities on Qbe Insurance and Microequities Asset 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 Microequities Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qbe Insurance and Microequities Asset.
Diversification Opportunities for Qbe Insurance and Microequities Asset
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Qbe and Microequities is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Qbe Insurance Group and Microequities Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microequities Asset 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 Microequities Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microequities Asset has no effect on the direction of Qbe Insurance i.e., Qbe Insurance and Microequities Asset go up and down completely randomly.
Pair Corralation between Qbe Insurance and Microequities Asset
Assuming the 90 days trading horizon Qbe Insurance Group is expected to generate 0.48 times more return on investment than Microequities Asset. However, Qbe Insurance Group is 2.1 times less risky than Microequities Asset. It trades about 0.25 of its potential returns per unit of risk. Microequities Asset Management is currently generating about 0.01 per unit of risk. If you would invest 1,864 in Qbe Insurance Group on December 31, 2024 and sell it today you would earn a total of 400.00 from holding Qbe Insurance Group or generate 21.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Qbe Insurance Group vs. Microequities Asset Management
Performance |
Timeline |
Qbe Insurance Group |
Microequities Asset |
Qbe Insurance and Microequities Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qbe Insurance and Microequities Asset
The main advantage of trading using opposite Qbe Insurance and Microequities Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qbe Insurance position performs unexpectedly, Microequities Asset 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 Microequities Asset will offset losses from the drop in Microequities Asset's long position.Qbe Insurance vs. Pointsbet Holdings | Qbe Insurance vs. Wellard | Qbe Insurance vs. Indiana Resources | Qbe Insurance vs. Otto Energy |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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