Correlation Between Schwab Small-cap and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Schwab Small-cap 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 Schwab Small-cap and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schwab Small Cap Index and Goldman Sachs International, you can compare the effects of market volatilities on Schwab Small-cap 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 Schwab Small-cap with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schwab Small-cap and Goldman Sachs.
Diversification Opportunities for Schwab Small-cap and Goldman Sachs
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Schwab and Goldman is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Schwab Small Cap Index and Goldman Sachs International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Intern and Schwab Small-cap 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 Schwab Small Cap Index 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 Intern has no effect on the direction of Schwab Small-cap i.e., Schwab Small-cap and Goldman Sachs go up and down completely randomly.
Pair Corralation between Schwab Small-cap and Goldman Sachs
Assuming the 90 days horizon Schwab Small Cap Index is expected to under-perform the Goldman Sachs. In addition to that, Schwab Small-cap is 1.44 times more volatile than Goldman Sachs International. It trades about -0.09 of its total potential returns per unit of risk. Goldman Sachs International is currently generating about 0.2 per unit of volatility. If you would invest 1,226 in Goldman Sachs International on December 20, 2024 and sell it today you would earn a total of 125.00 from holding Goldman Sachs International or generate 10.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Schwab Small Cap Index vs. Goldman Sachs International
Performance |
Timeline |
Schwab Small Cap |
Goldman Sachs Intern |
Schwab Small-cap and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schwab Small-cap and Goldman Sachs
The main advantage of trading using opposite Schwab Small-cap and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schwab Small-cap 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.Schwab Small-cap vs. Schwab International Index | Schwab Small-cap vs. Schwab Total Stock | Schwab Small-cap vs. Schwab Sp 500 | Schwab Small-cap vs. Schwab 1000 Index |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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