Goldman Sachs Large Fund Statistic Functions Beta
| GCGIX Fund | USD 33.83 -0.01 -0.03% |
| Symbol |
This analysis covers thirty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on Goldman Sachs Large correlated with the market. If Beta is less than 0 Goldman Sachs generally moves in the opposite direction as compared to the market. If Goldman Sachs Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Goldman Sachs Large is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Goldman Sachs is generally in the same direction as the market. If Beta > 1 Goldman Sachs moves generally in the same direction as, but more than the movement of the benchmark.
Goldman Sachs Technical Analysis Modules
Technical analysis of Goldman Sachs uses historical price and volume data to identify patterns that may signal where the Goldman trend is heading. Price transforms can expose non-obvious relationships in Goldman's historical data.| Cycle Indicators | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Methodology, Assumptions & Data Sources
Tracking Statistic Functions over time for Goldman Sachs reveals structural patterns that point-in-time snapshots can miss. The coefficient of variation captures dispersion relative to the mean level.
Inputs for Goldman Sachs Large come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag.