Correlation Between QBE Insurance and Regions Financial
Can any of the company-specific risk be diversified away by investing in both QBE Insurance and Regions Financial 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 Regions Financial 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 Regions Financial, you can compare the effects of market volatilities on QBE Insurance and Regions Financial 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 Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and Regions Financial.
Diversification Opportunities for QBE Insurance and Regions Financial
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between QBE and Regions is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group and Regions Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial 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 Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial has no effect on the direction of QBE Insurance i.e., QBE Insurance and Regions Financial go up and down completely randomly.
Pair Corralation between QBE Insurance and Regions Financial
Assuming the 90 days horizon QBE Insurance Group is expected to generate 0.73 times more return on investment than Regions Financial. However, QBE Insurance Group is 1.37 times less risky than Regions Financial. It trades about 0.12 of its potential returns per unit of risk. Regions Financial is currently generating about 0.07 per unit of risk. If you would invest 1,020 in QBE Insurance Group on September 24, 2024 and sell it today you would earn a total of 120.00 from holding QBE Insurance Group or generate 11.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
QBE Insurance Group vs. Regions Financial
Performance |
Timeline |
QBE Insurance Group |
Regions Financial |
QBE Insurance and Regions Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QBE Insurance and Regions Financial
The main advantage of trading using opposite QBE Insurance and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE Insurance position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.QBE Insurance vs. The Progressive | QBE Insurance vs. The Allstate | QBE Insurance vs. PICC Property and | QBE Insurance vs. Cincinnati Financial |
Regions Financial vs. The PNC Financial | Regions Financial vs. MT Bank Corp | Regions Financial vs. Huntington Bancshares Incorporated | Regions Financial vs. Citizens Financial Group |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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