Correlation Between Goldman Sachs and Columbia Emerging
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Columbia Emerging 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 Columbia Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Clean and Columbia Emerging Markets, you can compare the effects of market volatilities on Goldman Sachs and Columbia Emerging 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 Columbia Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Columbia Emerging.
Diversification Opportunities for Goldman Sachs and Columbia Emerging
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Goldman and Columbia is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Clean and Columbia Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Emerging Markets 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 Goldman Sachs Clean are associated (or correlated) with Columbia Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Emerging Markets has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Columbia Emerging go up and down completely randomly.
Pair Corralation between Goldman Sachs and Columbia Emerging
Assuming the 90 days horizon Goldman Sachs Clean is expected to under-perform the Columbia Emerging. In addition to that, Goldman Sachs is 2.49 times more volatile than Columbia Emerging Markets. It trades about -0.4 of its total potential returns per unit of risk. Columbia Emerging Markets is currently generating about 0.38 per unit of volatility. If you would invest 1,336 in Columbia Emerging Markets on September 19, 2024 and sell it today you would earn a total of 10.00 from holding Columbia Emerging Markets or generate 0.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 33.33% |
Values | Daily Returns |
Goldman Sachs Clean vs. Columbia Emerging Markets
Performance |
Timeline |
Goldman Sachs Clean |
Columbia Emerging Markets |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Goldman Sachs and Columbia Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Columbia Emerging
The main advantage of trading using opposite Goldman Sachs and Columbia Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Columbia Emerging 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 Columbia Emerging will offset losses from the drop in Columbia Emerging's long position.Goldman Sachs vs. Fidelity Advisor Technology | Goldman Sachs vs. Goldman Sachs Technology | Goldman Sachs vs. Pgim Jennison Technology | Goldman Sachs vs. Icon Information Technology |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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