Correlation Between Capital One and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Capital One 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 Capital One and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Capital One Financial and The Goldman Sachs, you can compare the effects of market volatilities on Capital One 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 Capital One with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Capital One and Goldman Sachs.
Diversification Opportunities for Capital One and Goldman Sachs
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Capital and Goldman is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Capital One 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 Capital One 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 Capital One 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 Capital One i.e., Capital One and Goldman Sachs go up and down completely randomly.
Pair Corralation between Capital One and Goldman Sachs
Assuming the 90 days trading horizon Capital One Financial is expected to generate 0.74 times more return on investment than Goldman Sachs. However, Capital One Financial is 1.35 times less risky than Goldman Sachs. It trades about 0.15 of its potential returns per unit of risk. The Goldman Sachs is currently generating about 0.03 per unit of risk. If you would invest 53,904 in Capital One Financial on September 22, 2024 and sell it today you would earn a total of 2,868 from holding Capital One Financial or generate 5.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.65% |
Values | Daily Returns |
Capital One Financial vs. The Goldman Sachs
Performance |
Timeline |
Capital One Financial |
Goldman Sachs |
Capital One and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Capital One and Goldman Sachs
The main advantage of trading using opposite Capital One and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Capital One 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.Capital One vs. Visa Inc | Capital One vs. Mastercard Incorporated | Capital One vs. American Express | Capital One vs. PayPal Holdings |
Goldman Sachs vs. The Charles Schwab | Goldman Sachs vs. Banco BTG Pactual | Goldman Sachs vs. Nomura Holdings |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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