Correlation Between Goldman Sachs and Stifel Financial
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Stifel 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 Goldman Sachs and Stifel Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Goldman Sachs and Stifel Financial Corp, you can compare the effects of market volatilities on Goldman Sachs and Stifel 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 Goldman Sachs with a short position of Stifel Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Stifel Financial.
Diversification Opportunities for Goldman Sachs and Stifel Financial
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Goldman and Stifel is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding The Goldman Sachs and Stifel Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stifel Financial Corp and Goldman Sachs 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 The Goldman Sachs are associated (or correlated) with Stifel Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stifel Financial Corp has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Stifel Financial go up and down completely randomly.
Pair Corralation between Goldman Sachs and Stifel Financial
Assuming the 90 days horizon The Goldman Sachs is expected to under-perform the Stifel Financial. But the preferred stock apears to be less risky and, when comparing its historical volatility, The Goldman Sachs is 1.16 times less risky than Stifel Financial. The preferred stock trades about -0.04 of its potential returns per unit of risk. The Stifel Financial Corp is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,421 in Stifel Financial Corp on December 30, 2024 and sell it today you would earn a total of 30.00 from holding Stifel Financial Corp or generate 1.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Goldman Sachs vs. Stifel Financial Corp
Performance |
Timeline |
Goldman Sachs |
Stifel Financial Corp |
Goldman Sachs and Stifel Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Stifel Financial
The main advantage of trading using opposite Goldman Sachs and Stifel Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Stifel 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 Stifel Financial will offset losses from the drop in Stifel Financial's long position.Goldman Sachs vs. Morgan Stanley | Goldman Sachs vs. The Goldman Sachs | Goldman Sachs vs. The Goldman Sachs | Goldman Sachs vs. SCE Trust IV |
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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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