Goldman Sachs Etf Market Value
| GGUS Etf | 60.73 0.11 0.18% |
| Symbol | Goldman |
Goldman Sachs ETF's market price often diverges from its book value, the accounting figure shown on Goldman's balance sheet. Smart investors calculate Goldman Sachs' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Goldman Sachs' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Goldman Sachs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Goldman Sachs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Goldman Sachs' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Goldman Sachs 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Goldman Sachs' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Goldman Sachs.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Goldman Sachs on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs ETF or generate 0.0% return on investment in Goldman Sachs over 90 days. Goldman Sachs is related to or competes with Global X, IShares Trust, IShares Paris, Hartford Quality, Bushido Capital, Keating Active, and Tidal Trust. Goldman Sachs is entity of United States More
Goldman Sachs Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Goldman Sachs' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Goldman Sachs ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 4.63 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 1.24 |
Goldman Sachs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Goldman Sachs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Goldman Sachs' standard deviation. In reality, there are many statistical measures that can use Goldman Sachs historical prices to predict the future Goldman Sachs' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Goldman Sachs' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Goldman Sachs February 15, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | (0.11) | |||
| Mean Deviation | 0.7047 | |||
| Coefficient Of Variation | (1,088) | |||
| Standard Deviation | 0.9562 | |||
| Variance | 0.9144 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.12) | |||
| Maximum Drawdown | 4.63 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 1.24 | |||
| Skewness | (0.31) | |||
| Kurtosis | 0.8971 |
Goldman Sachs ETF Backtested Returns
Goldman Sachs ETF holds Efficiency (Sharpe) Ratio of -0.0409, which attests that the entity had a -0.0409 % return per unit of risk over the last 3 months. Goldman Sachs ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Goldman Sachs' Risk Adjusted Performance of (0.07), standard deviation of 0.9562, and Market Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.8, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Goldman Sachs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Goldman Sachs is expected to be smaller as well.
Auto-correlation | -0.43 |
Modest reverse predictability
Goldman Sachs ETF has modest reverse predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Goldman Sachs ETF price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 1.27 |
Thematic Opportunities
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Check out Goldman Sachs Correlation, Goldman Sachs Volatility and Goldman Sachs Performance module to complement your research on Goldman Sachs. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Goldman Sachs technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.