Correlation Between Cincinnati Financial and QBE Insurance
Can any of the company-specific risk be diversified away by investing in both Cincinnati Financial 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 Cincinnati Financial and QBE Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cincinnati Financial and QBE Insurance Group, you can compare the effects of market volatilities on Cincinnati Financial 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 Cincinnati Financial with a short position of QBE Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cincinnati Financial and QBE Insurance.
Diversification Opportunities for Cincinnati Financial and QBE Insurance
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cincinnati and QBE is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Cincinnati Financial 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 Cincinnati Financial 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 Cincinnati Financial 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 Cincinnati Financial i.e., Cincinnati Financial and QBE Insurance go up and down completely randomly.
Pair Corralation between Cincinnati Financial and QBE Insurance
Assuming the 90 days horizon Cincinnati Financial is expected to under-perform the QBE Insurance. In addition to that, Cincinnati Financial is 1.16 times more volatile than QBE Insurance Group. It trades about -0.09 of its total potential returns per unit of risk. QBE Insurance Group is currently generating about 0.04 per unit of volatility. If you would invest 1,180 in QBE Insurance Group on November 19, 2024 and sell it today you would earn a total of 30.00 from holding QBE Insurance Group or generate 2.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cincinnati Financial vs. QBE Insurance Group
Performance |
Timeline |
Cincinnati Financial |
QBE Insurance Group |
Cincinnati Financial and QBE Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cincinnati Financial and QBE Insurance
The main advantage of trading using opposite Cincinnati Financial and QBE Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cincinnati Financial 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.Cincinnati Financial vs. The Progressive | Cincinnati Financial vs. The Allstate | Cincinnati Financial vs. PICC Property and | Cincinnati Financial vs. Markel |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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