Correlation Between QBE Insurance and Goosehead Insurance
Can any of the company-specific risk be diversified away by investing in both QBE Insurance and Goosehead 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 QBE Insurance and Goosehead Insurance 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 Goosehead Insurance, you can compare the effects of market volatilities on QBE Insurance and Goosehead 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 QBE Insurance with a short position of Goosehead Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and Goosehead Insurance.
Diversification Opportunities for QBE Insurance and Goosehead Insurance
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between QBE and Goosehead is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group and Goosehead Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goosehead Insurance 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 Goosehead Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goosehead Insurance has no effect on the direction of QBE Insurance i.e., QBE Insurance and Goosehead Insurance go up and down completely randomly.
Pair Corralation between QBE Insurance and Goosehead Insurance
Assuming the 90 days horizon QBE Insurance is expected to generate 2.8 times less return on investment than Goosehead Insurance. But when comparing it to its historical volatility, QBE Insurance Group is 2.02 times less risky than Goosehead Insurance. It trades about 0.06 of its potential returns per unit of risk. Goosehead Insurance is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,576 in Goosehead Insurance on September 17, 2024 and sell it today you would earn a total of 7,524 from holding Goosehead Insurance or generate 210.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.8% |
Values | Daily Returns |
QBE Insurance Group vs. Goosehead Insurance
Performance |
Timeline |
QBE Insurance Group |
Goosehead Insurance |
QBE Insurance and Goosehead Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QBE Insurance and Goosehead Insurance
The main advantage of trading using opposite QBE Insurance and Goosehead Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE Insurance position performs unexpectedly, Goosehead 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 Goosehead Insurance will offset losses from the drop in Goosehead Insurance's long position.QBE Insurance vs. Insurance Australia Group | QBE Insurance vs. Superior Plus Corp | QBE Insurance vs. SIVERS SEMICONDUCTORS AB | QBE Insurance vs. CHINA HUARONG ENERHD 50 |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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