Correlation Between Qbe Insurance and Autosports
Can any of the company-specific risk be diversified away by investing in both Qbe Insurance and Autosports 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 Autosports 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 Autosports Group, you can compare the effects of market volatilities on Qbe Insurance and Autosports 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 Autosports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qbe Insurance and Autosports.
Diversification Opportunities for Qbe Insurance and Autosports
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Qbe and Autosports is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Qbe Insurance Group and Autosports Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Autosports Group 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 Autosports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Autosports Group has no effect on the direction of Qbe Insurance i.e., Qbe Insurance and Autosports go up and down completely randomly.
Pair Corralation between Qbe Insurance and Autosports
Assuming the 90 days trading horizon Qbe Insurance Group is expected to generate 0.73 times more return on investment than Autosports. However, Qbe Insurance Group is 1.37 times less risky than Autosports. It trades about 0.07 of its potential returns per unit of risk. Autosports Group is currently generating about -0.04 per unit of risk. If you would invest 1,799 in Qbe Insurance Group on September 1, 2024 and sell it today you would earn a total of 201.00 from holding Qbe Insurance Group or generate 11.17% 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. Autosports Group
Performance |
| Timeline |
| Qbe Insurance Group |
| Autosports Group |
Qbe Insurance and Autosports Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qbe Insurance and Autosports
The main advantage of trading using opposite Qbe Insurance and Autosports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qbe Insurance position performs unexpectedly, Autosports 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 Autosports will offset losses from the drop in Autosports' long position.| Qbe Insurance vs. Diversified United Investment | Qbe Insurance vs. Bank of Queensland | Qbe Insurance vs. Home Consortium | Qbe Insurance vs. Carlton Investments |
| Autosports vs. Summit Resources Limited | Autosports vs. iShares Global Healthcare | Autosports vs. Australian Dairy Farms | Autosports vs. Adriatic Metals Plc |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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