Correlation Between Goldman Sachs and Alger Capital
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Alger Capital 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 Alger Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Emerging and Alger Capital Appreciation, you can compare the effects of market volatilities on Goldman Sachs and Alger Capital 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 Alger Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Alger Capital.
Diversification Opportunities for Goldman Sachs and Alger Capital
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Goldman and Alger is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Emerging and Alger Capital Appreciation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Capital Apprec 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 Emerging are associated (or correlated) with Alger Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Capital Apprec has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Alger Capital go up and down completely randomly.
Pair Corralation between Goldman Sachs and Alger Capital
Assuming the 90 days horizon Goldman Sachs is expected to generate 38.9 times less return on investment than Alger Capital. But when comparing it to its historical volatility, Goldman Sachs Emerging is 1.2 times less risky than Alger Capital. It trades about 0.01 of its potential returns per unit of risk. Alger Capital Appreciation is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 3,123 in Alger Capital Appreciation on September 4, 2024 and sell it today you would earn a total of 690.00 from holding Alger Capital Appreciation or generate 22.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Emerging vs. Alger Capital Appreciation
Performance |
Timeline |
Goldman Sachs Emerging |
Alger Capital Apprec |
Goldman Sachs and Alger Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Alger Capital
The main advantage of trading using opposite Goldman Sachs and Alger Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Alger Capital 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 Alger Capital will offset losses from the drop in Alger Capital's long position.Goldman Sachs vs. Dodge Cox Stock | Goldman Sachs vs. Dunham Large Cap | Goldman Sachs vs. Fidelity Series 1000 | Goldman Sachs vs. Jhancock Disciplined Value |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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