Goldman Sachs Group Stock Probability of Future Stock Price Finishing Under 579.77
| GS Stock | USD 603.03 0.25 0.04% |
Goldman |
Goldman Sachs Target Price Odds to finish below 579.77
The tendency of Goldman Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to $ 579.77 or more in 90 days |
| 603.03 | 90 days | 579.77 | more than 94.0 |
Based on a normal probability distribution, the odds of Goldman Sachs to drop to $ 579.77 or more in 90 days from now is more than 94.0 (This Goldman Sachs Group probability density function shows the probability of Goldman Stock to fall within a particular range of prices over 90 days) . Probability of Goldman Sachs Group price to stay between $ 579.77 and its current price of $603.03 at the end of the 90-day period is nearly 4.53 .
Allowing for the 90-day total investment horizon the stock has the beta coefficient of 2.47 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Goldman Sachs will likely underperform. Additionally Goldman Sachs Group has an alpha of 0.0137, implying that it can generate a 0.0137 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Goldman Sachs Price Density |
| Price |
Predictive Modules for Goldman Sachs
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Goldman Sachs Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Goldman Sachs Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Goldman Sachs is not an exception. The market had few large corrections towards the Goldman Sachs' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Goldman Sachs Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Goldman Sachs within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 2.47 | |
σ | Overall volatility | 38.62 | |
Ir | Information ratio | 0.09 |
Goldman Sachs Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Goldman Sachs for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Goldman Sachs Group can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Goldman Sachs Group reports about 242 B in cash with (12.59 B) of positive cash flow from operations. | |
| Roughly 74.0% of the company shares are owned by institutional investors | |
| Latest headline from investing.com: Ibotta director Lehrman sells shares worth 4.78 million |
Goldman Sachs Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Goldman Stock often depends not only on the future outlook of the current and potential Goldman Sachs' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Goldman Sachs' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 345.8 M | |
| Cash And Short Term Investments | 241.6 B |
Goldman Sachs Technical Analysis
Goldman Sachs' future price can be derived by breaking down and analyzing its technical indicators over time. Goldman Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Goldman Sachs Group. In general, you should focus on analyzing Goldman Stock price patterns and their correlations with different microeconomic environments and drivers.
Goldman Sachs Predictive Forecast Models
Goldman Sachs' time-series forecasting models is one of many Goldman Sachs' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This 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 stock market movement and maximize returns from investment trading.
Things to note about Goldman Sachs Group
Checking the ongoing alerts about Goldman Sachs for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Goldman Sachs Group help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Goldman Sachs Group reports about 242 B in cash with (12.59 B) of positive cash flow from operations. | |
| Roughly 74.0% of the company shares are owned by institutional investors | |
| Latest headline from investing.com: Ibotta director Lehrman sells shares worth 4.78 million |
Additional 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.