Correlation Between Litman Gregory and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Litman Gregory 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 Litman Gregory and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Litman Gregory Masters and Goldman Sachs Technology, you can compare the effects of market volatilities on Litman Gregory 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 Litman Gregory with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and Goldman Sachs.
Diversification Opportunities for Litman Gregory and Goldman Sachs
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Litman and Goldman is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Masters and Goldman Sachs Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Technology and Litman Gregory 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 Litman Gregory Masters 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 Technology has no effect on the direction of Litman Gregory i.e., Litman Gregory and Goldman Sachs go up and down completely randomly.
Pair Corralation between Litman Gregory and Goldman Sachs
Assuming the 90 days horizon Litman Gregory is expected to generate 1.1 times less return on investment than Goldman Sachs. But when comparing it to its historical volatility, Litman Gregory Masters is 6.77 times less risky than Goldman Sachs. It trades about 0.17 of its potential returns per unit of risk. Goldman Sachs Technology is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,575 in Goldman Sachs Technology on October 22, 2024 and sell it today you would earn a total of 16.00 from holding Goldman Sachs Technology or generate 0.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Masters vs. Goldman Sachs Technology
Performance |
Timeline |
Litman Gregory Masters |
Goldman Sachs Technology |
Litman Gregory and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Litman Gregory and Goldman Sachs
The main advantage of trading using opposite Litman Gregory and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory 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.Litman Gregory vs. Artisan High Income | Litman Gregory vs. Fidelity Capital Income | Litman Gregory vs. Prudential High Yield | Litman Gregory vs. Guggenheim High Yield |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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