Correlation Between QBE Insurance and ALBIS LEASING
Can any of the company-specific risk be diversified away by investing in both QBE Insurance and ALBIS LEASING 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 ALBIS LEASING 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 ALBIS LEASING AG, you can compare the effects of market volatilities on QBE Insurance and ALBIS LEASING 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 ALBIS LEASING. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and ALBIS LEASING.
Diversification Opportunities for QBE Insurance and ALBIS LEASING
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between QBE and ALBIS is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group and ALBIS LEASING AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALBIS LEASING AG 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 ALBIS LEASING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALBIS LEASING AG has no effect on the direction of QBE Insurance i.e., QBE Insurance and ALBIS LEASING go up and down completely randomly.
Pair Corralation between QBE Insurance and ALBIS LEASING
Assuming the 90 days horizon QBE Insurance is expected to generate 1.85 times less return on investment than ALBIS LEASING. In addition to that, QBE Insurance is 1.57 times more volatile than ALBIS LEASING AG. It trades about 0.06 of its total potential returns per unit of risk. ALBIS LEASING AG is currently generating about 0.19 per unit of volatility. If you would invest 217.00 in ALBIS LEASING AG on September 1, 2024 and sell it today you would earn a total of 61.00 from holding ALBIS LEASING AG or generate 28.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
QBE Insurance Group vs. ALBIS LEASING AG
Performance |
| Timeline |
| QBE Insurance Group |
| ALBIS LEASING AG |
QBE Insurance and ALBIS LEASING Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with QBE Insurance and ALBIS LEASING
The main advantage of trading using opposite QBE Insurance and ALBIS LEASING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE Insurance position performs unexpectedly, ALBIS LEASING 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 ALBIS LEASING will offset losses from the drop in ALBIS LEASING's long position.| QBE Insurance vs. Sumitomo Rubber Industries | QBE Insurance vs. SANOK RUBBER ZY | QBE Insurance vs. Applied Materials | QBE Insurance vs. NEWELL RUBBERMAID |
| ALBIS LEASING vs. BJs Restaurants | ALBIS LEASING vs. THAI BEVERAGE | ALBIS LEASING vs. BOSTON BEER A | ALBIS LEASING vs. Khiron Life Sciences |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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