Goldman Sachs Etf Market Value
| GXUS Etf | 60.87 0.21 0.35% |
| 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.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Goldman Sachs on November 16, 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 RPAR Risk, SPDR SP, VanEck Vietnam, IShares Morningstar, Sprott Gold, WisdomTree China, and Longview Advantage. 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.
| Downside Deviation | 0.8741 | |||
| Information Ratio | 0.1721 | |||
| Maximum Drawdown | 4.09 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.39 |
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 | 0.2084 | |||
| Jensen Alpha | 0.1687 | |||
| Total Risk Alpha | 0.1394 | |||
| Sortino Ratio | 0.16 | |||
| Treynor Ratio | 0.385 |
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 14, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2084 | |||
| Market Risk Adjusted Performance | 0.395 | |||
| Mean Deviation | 0.6101 | |||
| Semi Deviation | 0.5866 | |||
| Downside Deviation | 0.8741 | |||
| Coefficient Of Variation | 387.41 | |||
| Standard Deviation | 0.8129 | |||
| Variance | 0.6608 | |||
| Information Ratio | 0.1721 | |||
| Jensen Alpha | 0.1687 | |||
| Total Risk Alpha | 0.1394 | |||
| Sortino Ratio | 0.16 | |||
| Treynor Ratio | 0.385 | |||
| Maximum Drawdown | 4.09 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.39 | |||
| Downside Variance | 0.764 | |||
| Semi Variance | 0.3441 | |||
| Expected Short fall | (0.68) | |||
| Skewness | (0.19) | |||
| Kurtosis | 0.7551 |
Goldman Sachs ETF Backtested Returns
Goldman Sachs appears to be very steady, given 3 months investment horizon. Goldman Sachs ETF holds Efficiency (Sharpe) Ratio of 0.26, which attests that the entity had a 0.26 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Goldman Sachs ETF, which you can use to evaluate the volatility of the entity. Please utilize Goldman Sachs' Downside Deviation of 0.8741, market risk adjusted performance of 0.395, and Risk Adjusted Performance of 0.2084 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.52, 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 | 0.88 |
Very good predictability
Goldman Sachs ETF has very good predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 0.88 indicates that approximately 88.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 1.99 |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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.