Getty Images Holdings Stock Probability of Future Stock Price Finishing Over 2.19
| GETY Stock | USD 2.19 0.10 4.37% |
Getty |
Getty Images Target Price Odds to finish over 2.19
The tendency of Getty 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 move above the current price in 90 days |
| 2.19 | 90 days | 2.19 | roughly 97.0 |
Based on a normal probability distribution, the odds of Getty Images to move above the current price in 90 days from now is roughly 97.0 (This Getty Images Holdings probability density function shows the probability of Getty Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days Getty Images has a beta of 0.3. This usually indicates as returns on the market go up, Getty Images average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Getty Images Holdings will be expected to be much smaller as well. Additionally Getty Images Holdings has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Getty Images Price Density |
| Price |
Predictive Modules for Getty Images
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Getty Images Holdings. 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 Getty Images' 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.
Getty Images Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Getty Images is not an exception. The market had few large corrections towards the Getty Images' 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 Getty Images Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Getty Images within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.75 | |
β | Beta against Dow Jones | 0.30 | |
σ | Overall volatility | 0.62 | |
Ir | Information ratio | -0.2 |
Getty Images 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 Getty Images for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Getty Images Holdings can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Getty Images generated a negative expected return over the last 90 days | |
| Getty Images has high historical volatility and very poor performance | |
| Getty Images has a strong financial position based on the latest SEC filings | |
| About 72.0% of the company shares are held by company insiders | |
| Latest headline from finance.yahoo.com: Disposition of 4173 shares by Gandert Nathaniel of Getty Images at 2.2 subject to Rule 16b-3 |
Getty Images 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 Getty Stock often depends not only on the future outlook of the current and potential Getty Images' 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. Getty Images' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 411.5 M | |
| Cash And Short Term Investments | 138.1 M |
Getty Images Technical Analysis
Getty Images' future price can be derived by breaking down and analyzing its technical indicators over time. Getty Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Getty Images Holdings. In general, you should focus on analyzing Getty Stock price patterns and their correlations with different microeconomic environments and drivers.
Getty Images Predictive Forecast Models
Getty Images' time-series forecasting models is one of many Getty Images' 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 Getty Images' 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 Getty Images Holdings
Checking the ongoing alerts about Getty Images for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Getty Images Holdings help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Getty Images generated a negative expected return over the last 90 days | |
| Getty Images has high historical volatility and very poor performance | |
| Getty Images has a strong financial position based on the latest SEC filings | |
| About 72.0% of the company shares are held by company insiders | |
| Latest headline from finance.yahoo.com: Disposition of 4173 shares by Gandert Nathaniel of Getty Images at 2.2 subject to Rule 16b-3 |
Additional Tools for Getty Stock Analysis
When running Getty Images' price analysis, check to measure Getty Images' 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 Getty Images is operating at the current time. Most of Getty Images' value examination focuses on studying past and present price action to predict the probability of Getty Images' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Getty Images' price. Additionally, you may evaluate how the addition of Getty Images to your portfolios can decrease your overall portfolio volatility.