Goldman Mutual Fund Analysis


USD 17.56  0.06  0.34%   

The small slide in market price for the last few months may raise some interest from investors. The fund closed today at a share price of 17.56 on slow start in trading volume. The fund administrators and managers did not add much value to Goldman Sachs Gqg investors in July. However, diversifying your holdings with Goldman Sachs Gqg or similar funds can still protect your portfolio during high-volatility market scenarios. The fund standard deviation of daily returns for 90 days investing horizon is currently 1.18. The below-average Fund volatility is a good sign for longer-term investment options and for buy-and-hold investors.
Please check Risk vs Return Analysis.
The Goldman Sachs mutual fund analysis report makes it easy to digest most publicly released information about Goldman Sachs and get updates on important government artifacts, including earning estimates, SEC corporate filings, and announcements. Goldman Mutual Fund analysis module also helps to analyze the Goldman Sachs price relationship with some important fundamental indicators such as market cap and management efficiency.

Goldman Mutual Fund Analysis Notes

The fund retains 96.15% of assets under management (AUM) in equities. To learn more about Goldman Sachs Gqg call the company at 800-621-2550.

Goldman Sachs Gqg Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more funds at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. Goldman Sachs' investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding Goldman Sachs Gqg or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
Goldman Sachs Gqg generated a negative expected return over the last 90 days
Goldman Sachs Gqg is unlikely to experience financial distress in the next 2 years
The fund retains 96.15% of its assets under management (AUM) in equities

Management Efficiency

Goldman Sachs management efficiency ratios could be used to measure how well the company manages its routine affairs as well as how well it operates its assets and liabilities.

Top Mutual Fund Constituents

At Risk
TCTZFTencent Holdings(0.09) (4.55) 
ABTAbbott Laboratories(0.0396) (2.61) 
ASMLAsml Holdings NY(0.0037) (5.47) 
BABAAlibaba Group Holding 0.0097 (8.13) 
BNPQFBnp Paribas Ord(0.0307) (5.21) 
CLNXFCellnex Telecom SA 0.0038 (4.32) 
EVOEvotec Se 0.0327 (5.20) 
GMABGenmab AS ADR 0.12 (3.02) 
MAMastercard 0.0158 (3.68) 
NOVNNovan Inc 0.08 (4.98) 

Technical Drivers

As of the 18th of August 2022, Goldman Sachs retains the Market Risk Adjusted Performance of (0.63), downside deviation of 1.35, and Risk Adjusted Performance of 0.0205. 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. Simply put, you can use this information to find out if the entity will indeed mirror its model of historical price patterns, or the prices will eventually revert. We have analyzed and interpolated nineteen technical drivers for Goldman Sachs Gqg, which can be compared to its competitors. Please check out Goldman Sachs Gqg variance and the relationship between the treynor ratio and potential upside to decide if Goldman Sachs is priced fairly, providing market reflects its last-minute price of 17.56 per share.

Goldman Sachs Gqg Price Movement Analysis

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Triangular Moving Average shows Goldman Sachs double smoothed mean price over a specified number of previous prices (i.e., averaged twice).

Goldman Sachs Technical and Predictive Indicators

Goldman Sachs Forecast Models

Goldman Sachs time-series forecasting models is one of many Goldman Sachs' mutual fund analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Goldman Sachs' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About Goldman Mutual Fund Analysis

Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Goldman Sachs prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Goldman shares will generate the highest return on investment. We also built our fund analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas, a specific sector, or an individual Fund such as Goldman Sachs. By using and applying Goldman Mutual Fund analysis, traders can create a robust methodology for identifying Goldman entry and exit points for their positions.
The fund seeks to achieve its investment objective by investing primarily in equity investments in non-U.S. issuers. Goldman Sachs is traded on NASDAQ Exchange in the United States.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our mutual fund analysis tools, you can find out how much better you can do when adding Goldman Sachs to your portfolios without increasing risk or reducing expected return.

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Portfolio Volatility

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Please check Risk vs Return Analysis. Note that the Goldman Sachs Gqg information on this page should be used as a complementary analysis to other Goldman Sachs' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Money Managers module to screen money managers from public funds and ETFs managed around the world.

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When running Goldman Sachs Gqg price analysis, check to measure Goldman Sachs' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Goldman Sachs is operating at the current time. Most of Goldman Sachs' value examination focuses on studying past and present price action to predict the probability of Goldman Sachs' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Goldman Sachs' price. Additionally, you may evaluate how the addition of Goldman Sachs to your portfolios can decrease your overall portfolio volatility.
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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 Goldman Sachs value 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.