Goldman Sachs Trust Fund Market Value
| FYSXX Fund | USD 1.00 0.00 0.00% |
| Symbol | Goldman |
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' money market 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.
| 12/11/2022 |
| 11/30/2024 |
If you would invest 0.00 in Goldman Sachs on December 11, 2022 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Trust or generate 0.0% return on investment in Goldman Sachs over 720 days. Goldman Sachs is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. 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' money market 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 Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.98) | |||
| Maximum Drawdown | 1.01 |
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 | 0.0426 | |||
| Jensen Alpha | 0.0038 | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.4384 |
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 Trust Backtested Returns
We have found sixteen technical indicators for Goldman Sachs Trust, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Risk Adjusted Performance of 0.0426, standard deviation of 0.1243, and Market Risk Adjusted Performance of 0.4484 to validate if the risk estimate we provide is consistent with the expected return of 0.0%. The fund retains a Market Volatility (i.e., Beta) of 0.0121, which attests to not very significant fluctuations relative to the market. 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 | 0.69 |
Good predictability
Goldman Sachs Trust has good predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 11th of December 2022 to 6th of December 2023 and 6th of December 2023 to 30th of November 2024. 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 Trust price movement. The serial correlation of 0.69 indicates that around 69.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Goldman Sachs Trust lagged returns against current returns
Autocorrelation, which is Goldman Sachs money market fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Goldman Sachs' money market fund expected returns. We can calculate the autocorrelation of Goldman Sachs returns to help us make a trade decision. For example, suppose you find that Goldman Sachs has exhibited high autocorrelation historically, and you observe that the money market fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Goldman Sachs regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Goldman Sachs money market fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goldman Sachs money market fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Goldman Sachs money market fund over time.
Current vs Lagged Prices |
| Timeline |
Goldman Sachs Lagged Returns
When evaluating Goldman Sachs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Goldman Sachs money market fund have on its future price. Goldman Sachs autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Goldman Sachs autocorrelation shows the relationship between Goldman Sachs money market fund current value and its past values and can show if there is a momentum factor associated with investing in Goldman Sachs Trust.
Regressed Prices |
| Timeline |
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.Other Information on Investing in Goldman Money Market Fund
Goldman Sachs financial ratios help investors to determine whether Goldman Money Market 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.
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |