Goldman Sachs Mid Fund Market Value

GCMTX Fund  USD 36.16  0.03  0.08%   
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 Mid investors about its performance. Goldman Sachs is trading at 36.16 as of the 14th of December 2024; that is 0.08% down since the beginning of the trading day. The fund's open price was 36.19.
With this module, you can estimate the performance of a buy and hold strategy of Goldman Sachs Mid 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.
Symbol

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
11/14/2024
No Change 0.00  0.0 
In 31 days
12/14/2024
0.00
If you would invest  0.00  in Goldman Sachs on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Mid or generate 0.0% return on investment in Goldman Sachs over 30 days. Goldman Sachs is related to or competes with Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, and Goldman Sachs. 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' 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 Mid upside and downside potential and time the market with a certain degree of confidence.

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.
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.
Hype
Prediction
LowEstimatedHigh
35.0236.1637.30
Details
Intrinsic
Valuation
LowRealHigh
35.4936.6337.77
Details

Goldman Sachs Mid Backtested Returns

Goldman Sachs Mid holds Efficiency (Sharpe) Ratio of -0.0067, which attests that the entity had a -0.0067% return per unit of risk over the last 3 months. Goldman Sachs Mid exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Goldman Sachs' Risk Adjusted Performance of 0.0183, downside deviation of 1.36, and Market Risk Adjusted Performance of 0.0228 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 1.01, 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

    
  -0.76  

Almost perfect reverse predictability

Goldman Sachs Mid has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th of December 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 Mid price movement. The serial correlation of -0.76 indicates that around 76.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
Correlation Coefficient-0.76
Spearman Rank Test-0.84
Residual Average0.0
Price Variance1.72

Goldman Sachs Mid lagged returns against current returns

Autocorrelation, which is Goldman Sachs mutual 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' mutual 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 mutual 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goldman Sachs mutual 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 mutual 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 mutual 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Goldman Sachs Mid.
   Regressed Prices   
       Timeline  

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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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