Goldman Sachs Etf Net Asset
| GDOC Etf | USD 34.42 0.01 0.03% |
As of the 10th of February, Goldman Sachs retains the Risk Adjusted Performance of 0.0079, market risk adjusted performance of 0.0063, and Downside Deviation of 0.8892. Goldman Sachs technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Goldman Sachs' financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing Goldman Sachs' valuation are provided below:Goldman Sachs ETF does not presently have any fundamental trends for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Investors evaluate Goldman Sachs ETF using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Goldman Sachs' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Goldman Sachs' market price to deviate significantly from intrinsic 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. Conversely, Goldman Sachs' market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Goldman Sachs on November 12, 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 Harbor Health, AIM ETF, Clockwise Core, Listed Funds, Principal Exchange, Pacer Small, and Innovator ETFs. The fund invests, under normal circumstances, at least 80 percent of its net assets plus any borrowings for investment p... 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 | 0.8892 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.74 |
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 | 0.0079 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.10) | |||
| Treynor Ratio | (0) |
Goldman Sachs February 10, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0079 | |||
| Market Risk Adjusted Performance | 0.0063 | |||
| Mean Deviation | 0.7352 | |||
| Semi Deviation | 0.8716 | |||
| Downside Deviation | 0.8892 | |||
| Coefficient Of Variation | 12625.27 | |||
| Standard Deviation | 0.9532 | |||
| Variance | 0.9086 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.10) | |||
| Treynor Ratio | (0) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.74 | |||
| Downside Variance | 0.7907 | |||
| Semi Variance | 0.7597 | |||
| Expected Short fall | (0.79) | |||
| Skewness | 0.3248 | |||
| Kurtosis | 0.3029 |
Goldman Sachs ETF Backtested Returns
Goldman Sachs ETF holds Efficiency (Sharpe) Ratio of -0.0843, which attests that the entity had a -0.0843 % return per unit of risk over the last 3 months. Goldman Sachs ETF exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Goldman Sachs' Downside Deviation of 0.8892, market risk adjusted performance of 0.0063, and Risk Adjusted Performance of 0.0079 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.67, 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 | 0.38 |
Below average predictability
Goldman Sachs ETF has below average predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 0.38 indicates that just about 38.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
| Competition |
Based on the recorded statements, Goldman Sachs ETF has a Net Asset of 96.61 M. This is much higher than that of the Goldman Sachs family and significantly higher than that of the Health category. The net asset for all United States etfs is notably lower than that of the firm.
Goldman Net Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Goldman Sachs' direct or indirect competition against its Net Asset to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Goldman Sachs could also be used in its relative valuation, which is a method of valuing Goldman Sachs by comparing valuation metrics of similar companies.Goldman Sachs is currently under evaluation in net asset as compared to similar ETFs.
Goldman Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Goldman Sachs's current stock value. Our valuation model uses many indicators to compare Goldman Sachs value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Goldman Sachs competition to find correlations between indicators driving Goldman Sachs's intrinsic value. More Info.Goldman Sachs ETF is one of the top ETFs in beta as compared to similar ETFs. It also is one of the top ETFs in one year return as compared to similar ETFs . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Goldman Sachs' earnings, one of the primary drivers of an investment's value.Fund Asset Allocation for Goldman Sachs
The fund invests 100.0% of asset under management in tradable equity instruments, with the rest of investments concentrated in .Asset allocation divides Goldman Sachs' investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors for a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will manage securities in the fund's portfolio as market conditions and the fund's objectives change.
Goldman Fundamentals
| Beta | 0.98 | |||
| Total Asset | 96.61 M | |||
| One Year Return | (0.10) % | |||
| Three Year Return | 2.50 % | |||
| Net Asset | 96.61 M | |||
| Equity Positions Weight | 100.00 % |
About Goldman Sachs Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Goldman Sachs ETF's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Goldman Sachs using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Goldman Sachs ETF based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Goldman Sachs ETF is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Goldman Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Goldman Sachs Etf. Highlighted below are key reports to facilitate an investment decision about Goldman Sachs Etf:Check out You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Investors evaluate Goldman Sachs ETF using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Goldman Sachs' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Goldman Sachs' market price to deviate significantly from intrinsic 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. Conversely, Goldman Sachs' market price signifies the transaction level at which participants voluntarily complete trades.