Correlation Between INFORMATION SVC and QBE Insurance
Can any of the company-specific risk be diversified away by investing in both INFORMATION SVC and QBE Insurance 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 INFORMATION SVC and QBE Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INFORMATION SVC GRP and QBE Insurance Group, you can compare the effects of market volatilities on INFORMATION SVC and QBE Insurance 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 INFORMATION SVC with a short position of QBE Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of INFORMATION SVC and QBE Insurance.
Diversification Opportunities for INFORMATION SVC and QBE Insurance
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between INFORMATION and QBE is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding INFORMATION SVC GRP and QBE Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QBE Insurance Group and INFORMATION SVC 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 INFORMATION SVC GRP are associated (or correlated) with QBE Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QBE Insurance Group has no effect on the direction of INFORMATION SVC i.e., INFORMATION SVC and QBE Insurance go up and down completely randomly.
Pair Corralation between INFORMATION SVC and QBE Insurance
Assuming the 90 days horizon INFORMATION SVC is expected to generate 1.67 times less return on investment than QBE Insurance. In addition to that, INFORMATION SVC is 1.4 times more volatile than QBE Insurance Group. It trades about 0.06 of its total potential returns per unit of risk. QBE Insurance Group is currently generating about 0.15 per unit of volatility. If you would invest 1,117 in QBE Insurance Group on December 30, 2024 and sell it today you would earn a total of 183.00 from holding QBE Insurance Group or generate 16.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
INFORMATION SVC GRP vs. QBE Insurance Group
Performance |
Timeline |
INFORMATION SVC GRP |
QBE Insurance Group |
INFORMATION SVC and QBE Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INFORMATION SVC and QBE Insurance
The main advantage of trading using opposite INFORMATION SVC and QBE Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INFORMATION SVC position performs unexpectedly, QBE Insurance 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 QBE Insurance will offset losses from the drop in QBE Insurance's long position.INFORMATION SVC vs. Check Point Software | INFORMATION SVC vs. Sqs Software Quality | INFORMATION SVC vs. ATOSS SOFTWARE | INFORMATION SVC vs. Kingdee International Software |
QBE Insurance vs. Erste Group Bank | QBE Insurance vs. COREBRIDGE FINANCIAL INC | QBE Insurance vs. Direct Line Insurance | QBE Insurance vs. ATON GREEN STORAGE |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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