Correlation Between Webster Financial and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Webster Financial and Goldman Sachs 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 Webster Financial and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Webster Financial and The Goldman Sachs, you can compare the effects of market volatilities on Webster Financial and Goldman Sachs 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 Webster Financial with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Webster Financial and Goldman Sachs.
Diversification Opportunities for Webster Financial and Goldman Sachs
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Webster and Goldman is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Webster Financial and The Goldman Sachs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs and Webster 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 Webster Financial are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs has no effect on the direction of Webster Financial i.e., Webster Financial and Goldman Sachs go up and down completely randomly.
Pair Corralation between Webster Financial and Goldman Sachs
Assuming the 90 days horizon Webster Financial is expected to under-perform the Goldman Sachs. But the stock apears to be less risky and, when comparing its historical volatility, Webster Financial is 1.07 times less risky than Goldman Sachs. The stock trades about -0.07 of its potential returns per unit of risk. The The Goldman Sachs is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 54,984 in The Goldman Sachs on December 24, 2024 and sell it today you would lose (3,124) from holding The Goldman Sachs or give up 5.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Webster Financial vs. The Goldman Sachs
Performance |
Timeline |
Webster Financial |
Goldman Sachs |
Webster Financial and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Webster Financial and Goldman Sachs
The main advantage of trading using opposite Webster Financial and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Webster Financial position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Webster Financial vs. Fukuyama Transporting Co | Webster Financial vs. Nishi Nippon Railroad Co | Webster Financial vs. ARDAGH METAL PACDL 0001 | Webster Financial vs. BII Railway Transportation |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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