Goldman Sachs Mlp Fund Market Value

GMNPX Fund  USD 37.89  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 Mlp investors about its performance. Goldman Sachs is trading at 37.89 as of the 22nd of December 2024; that is 0.08 percent down since the beginning of the trading day. The fund's open price was 37.92.
With this module, you can estimate the performance of a buy and hold strategy of Goldman Sachs Mlp 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
01/02/2023
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/22/2024
0.00
If you would invest  0.00  in Goldman Sachs on January 2, 2023 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Mlp or generate 0.0% return on investment in Goldman Sachs over 720 days. The fund invests at least 80 percent of its net assets plus any borrowings for investment purposes in U.S 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 Mlp 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.
Hype
Prediction
LowEstimatedHigh
37.1437.8938.64
Details
Intrinsic
Valuation
LowRealHigh
37.3938.1438.89
Details
Naive
Forecast
LowNextHigh
36.7737.5238.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37.3939.0540.71
Details

Goldman Sachs Mlp Backtested Returns

At this stage we consider Goldman Mutual Fund to be very steady. Goldman Sachs Mlp holds Efficiency (Sharpe) Ratio of 0.0216, which attests that the entity had a 0.0216% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Goldman Sachs Mlp, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Market Risk Adjusted Performance of 0.0537, downside deviation of 0.8309, and Risk Adjusted Performance of 0.0303 to validate if the risk estimate we provide is consistent with the expected return of 0.0163%. The fund retains a Market Volatility (i.e., Beta) of 0.45, 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

    
  0.78  

Good predictability

Goldman Sachs Mlp has good predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 2nd of January 2023 to 28th of December 2023 and 28th of December 2023 to 22nd 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 Mlp price movement. The serial correlation of 0.78 indicates that around 78.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
Correlation Coefficient0.78
Spearman Rank Test0.81
Residual Average0.0
Price Variance6.08

Goldman Sachs Mlp 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 Mlp.
   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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