Goldman Sachs Etf Shares Owned By Institutions
Goldman Sachs fundamentals help investors to digest information that contributes to Goldman Sachs' financial success or failures. It also enables traders to predict the movement of Goldman Etf. The fundamental analysis module provides a way to measure Goldman Sachs' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Goldman Sachs etf.
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Goldman Sachs ETF Shares Owned By Institutions Analysis
Goldman Sachs' Shares Owned by Institutions show the percentage of the outstanding shares of stock issued by a company that is currently owned by other institutions such as asset management firms, hedge funds, or investment banks. Many investors like investing in companies with a large percentage of the firm owned by institutions because they believe that larger firms such as banks, pension funds, and mutual funds, will invest when they think that good things are going to happen.
More About Shares Owned By Institutions | All Equity Analysis
Shares Held by Institutions | = | Funds and Banks | + | Firms |
Current Goldman Sachs Shares Owned By Institutions | 29.20 % |
Most of Goldman Sachs' fundamental indicators, such as Shares Owned By Institutions, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Goldman Sachs is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Since Institution investors conduct a lot of independent research they tend to be more involved and usually more knowledgeable about entities they invest as compared to amateur investors.
CompetitionBased on the latest financial disclosure, 29.2% of Goldman Sachs are shares owned by institutions. This is much higher than that of the Goldman Sachs family and significantly higher than that of the Industrials category. The shares owned by institutions for all United States etfs is notably lower than that of the firm.
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Fund Asset Allocation for Goldman Sachs
The fund invests 99.95% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides Goldman Sachs' investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Goldman Fundamentals
| Return On Asset | -0.03 | |||
| Profit Margin | (0.02) % | |||
| Operating Margin | (0.02) % | |||
| Current Valuation | 106.77 M | |||
| Shares Outstanding | 19.41 M | |||
| Shares Owned By Insiders | 54.12 % | |||
| Shares Owned By Institutions | 29.20 % | |||
| Number Of Shares Shorted | 1.52 M | |||
| Price To Earning | (0.10) X | |||
| Price To Book | 0.58 X | |||
| Price To Sales | 0.02 X | |||
| Revenue | 657.86 M | |||
| Gross Profit | 274.41 M | |||
| Net Income | (4.34 M) | |||
| Cash And Equivalents | 6.97 M | |||
| Cash Per Share | 0.43 X | |||
| Total Debt | 45.73 M | |||
| Debt To Equity | 3.76 % | |||
| Current Ratio | 1.00 X | |||
| Cash Flow From Operations | 8.61 M | |||
| Earnings Per Share | (0.59) X | |||
| Number Of Employees | 1.63 K | |||
| Beta | -0.77 | |||
| Market Capitalization | 1.17 M | |||
| Total Asset | 48.2 M | |||
| Retained Earnings | (19.73 M) | |||
| Working Capital | 22.22 M | |||
| Current Asset | 137.16 M | |||
| Current Liabilities | 114.93 M | |||
| Z Score | 2.0 | |||
| One Year Return | 37.62 % | |||
| Net Asset | 48.2 M | |||
| Last Dividend Paid | 0.056 | |||
| Equity Positions Weight | 99.95 % |
Pair Trading with Goldman Sachs
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Goldman Sachs position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Goldman Sachs will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Microsoft - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Microsoft to buy it.
The correlation of Microsoft is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Microsoft can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Tools for Goldman Etf
When running Goldman Sachs' 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 the 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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