Goldman Sachs Group Stock Statistic Functions Linear Regression Intercept
GS Stock | USD 423.04 0.96 0.23% |
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The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Intercept is the expected mean value of Goldman Sachs Group price seriese where values of its benchmark or peer price series are zero.
Goldman Sachs Technical Analysis Modules
Most technical analysis of Goldman Sachs help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Goldman from various momentum indicators to cycle indicators. When you analyze Goldman charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Goldman Sachs Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Goldman Sachs Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Goldman Sachs Group based on widely used predictive technical indicators. In general, we focus on analyzing Goldman Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Goldman Sachs's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Goldman Sachs's intrinsic value. In addition to deriving basic predictive indicators for Goldman Sachs, we also check how macroeconomic factors affect Goldman Sachs price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0203 | 0.0305 | 0.0319 | 0.0335 | Price To Sales Ratio | 2.26 | 2.55 | 2.84 | 2.85 |
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.
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Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Goldman Sachs Group. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Goldman Stock analysis
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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Is Goldman Sachs' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Goldman Sachs. If investors know Goldman will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Goldman Sachs listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.317 | Dividend Share 10.75 | Earnings Share 25.67 | Revenue Per Share 138.222 | Quarterly Revenue Growth 0.121 |
The market value of Goldman Sachs Group is measured differently than its book value, which is the value of Goldman that is recorded on the company's balance sheet. Investors also form their own opinion of Goldman Sachs' value that differs from its market value or its book value, called intrinsic value, which is Goldman Sachs' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Goldman Sachs' market value can be influenced by many factors that don't directly affect Goldman Sachs' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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.