Correlation Between Safety Insurance and Webster Financial
Can any of the company-specific risk be diversified away by investing in both Safety Insurance and Webster 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 Safety Insurance and Webster Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Safety Insurance Group and Webster Financial, you can compare the effects of market volatilities on Safety Insurance and Webster 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 Safety Insurance with a short position of Webster Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Safety Insurance and Webster Financial.
Diversification Opportunities for Safety Insurance and Webster Financial
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Safety and Webster is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Safety Insurance Group and Webster Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Webster Financial and Safety 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 Safety Insurance Group are associated (or correlated) with Webster Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Webster Financial has no effect on the direction of Safety Insurance i.e., Safety Insurance and Webster Financial go up and down completely randomly.
Pair Corralation between Safety Insurance and Webster Financial
Assuming the 90 days horizon Safety Insurance Group is expected to generate 0.94 times more return on investment than Webster Financial. However, Safety Insurance Group is 1.06 times less risky than Webster Financial. It trades about -0.16 of its potential returns per unit of risk. Webster Financial is currently generating about -0.56 per unit of risk. If you would invest 7,365 in Safety Insurance Group on December 10, 2024 and sell it today you would lose (415.00) from holding Safety Insurance Group or give up 5.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Safety Insurance Group vs. Webster Financial
Performance |
Timeline |
Safety Insurance |
Webster Financial |
Safety Insurance and Webster Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Safety Insurance and Webster Financial
The main advantage of trading using opposite Safety Insurance and Webster Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Safety Insurance position performs unexpectedly, Webster 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 Webster Financial will offset losses from the drop in Webster Financial's long position.Safety Insurance vs. De Grey Mining | Safety Insurance vs. Motorcar Parts of | Safety Insurance vs. Grupo Carso SAB | Safety Insurance vs. PARKEN Sport Entertainment |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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