Goldman Sachs' market value is the price at which a share of Goldman Sachs trades on a public exchange. It measures the collective expectations of Goldman Sachs Large investors about its performance. Goldman Sachs is trading at 25.57 as of the 27th of January 2026; that is 0.39 percent increase since the beginning of the trading day. The fund's open price was 25.47. With this module, you can estimate the performance of a buy and hold strategy of Goldman Sachs Large and determine expected loss or profit from investing in Goldman Sachs over a given investment horizon. Check out Goldman Sachs Correlation, Goldman Sachs Volatility and Goldman Sachs Alpha and Beta module to complement your research on Goldman Sachs.
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' mutual fund 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.
0.00
10/29/2025
No Change 0.00
0.0
In 2 months and 31 days
01/27/2026
0.00
If you would invest 0.00 in Goldman Sachs on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Large or generate 0.0% return on investment in Goldman Sachs over 90 days. Goldman Sachs is related to or competes with Multi-manager High, Six Circles, Jpmorgan High, Simt High, Gmo High, Tiaa-cref High-yield, and Buffalo High. The investment seeks long-term growth of capital and dividend income 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' mutual fund 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 Large upside and downside potential and time the market with a certain degree of confidence.
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.
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 appears to be very steady, given 3 months investment horizon. Goldman Sachs Large holds Efficiency (Sharpe) Ratio of 0.21, which attests that the entity had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Goldman Sachs Large, which you can use to evaluate the volatility of the entity. Please utilize Goldman Sachs' Market Risk Adjusted Performance of 0.2309, downside deviation of 0.6759, and Risk Adjusted Performance of 0.1504 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 1.03, which attests to a somewhat significant risk relative to the market. Goldman Sachs returns are very sensitive to returns on the market. As the market goes up or down, Goldman Sachs is expected to follow.
Auto-correlation
0.45
Average predictability
Goldman Sachs Large has average predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 Large price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
Correlation Coefficient
0.45
Spearman Rank Test
0.56
Residual Average
0.0
Price Variance
0.18
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Other Information on Investing in Goldman Mutual Fund
Goldman Sachs financial ratios help investors to determine whether Goldman Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Goldman with respect to the benefits of owning Goldman Sachs security.
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