Immobile (Poland) Odds of Future Stock Price Finishing Over 9.65

GKI Stock   1.99  0.07  3.65%   
Immobile's future price is the expected price of Immobile instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Immobile performance during a given time horizon utilizing its historical volatility. Check out Immobile Backtesting, Immobile Valuation, Immobile Correlation, Immobile Hype Analysis, Immobile Volatility, Immobile History as well as Immobile Performance.
  
Please specify Immobile's target price for which you would like Immobile odds to be computed.

Immobile Target Price Odds to finish over 9.65

The tendency of Immobile 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 PriceHorizonTarget PriceOdds to move over  9.65  or more in 90 days
 1.99 90 days 9.65 
close to zero percent
Based on a normal probability distribution, the odds of Immobile to move over  9.65  or more in 90 days from now is close to zero percent (This Immobile probability density function shows the probability of Immobile Stock to fall within a particular range of prices over 90 days) . Probability of Immobile price to stay between its current price of  1.99  and  9.65  at the end of the 90-day period is nearly 4.81 .
Assuming the 90 days trading horizon Immobile has a beta of -0.0048. This usually indicates as returns on the benchmark increase, returns on holding Immobile are expected to decrease at a much lower rate. During a bear market, however, Immobile is likely to outperform the market. Additionally Immobile has an alpha of 0.0675, implying that it can generate a 0.0675 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Immobile Price Density   
       Price  

Predictive Modules for Immobile

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Immobile. 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 Immobile's 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.
Hype
Prediction
LowEstimatedHigh
0.101.994.53
Details
Intrinsic
Valuation
LowRealHigh
0.081.624.16
Details
Naive
Forecast
LowNextHigh
0.042.024.56
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.771.892.01
Details

Immobile Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Immobile is not an exception. The market had few large corrections towards the Immobile's 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 Immobile, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Immobile within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.07
β
Beta against Dow Jones-0.0048
σ
Overall volatility
0.05
Ir
Information ratio -0.02

Immobile 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 Immobile for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Immobile can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Immobile may become a speculative penny stock
About 81.0% of the company shares are held by company insiders

Immobile 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 Immobile Stock often depends not only on the future outlook of the current and potential Immobile's 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. Immobile's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding75.1 M
Cash And Short Term Investments41.5 M

Immobile Technical Analysis

Immobile's future price can be derived by breaking down and analyzing its technical indicators over time. Immobile Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Immobile. In general, you should focus on analyzing Immobile Stock price patterns and their correlations with different microeconomic environments and drivers.

Immobile Predictive Forecast Models

Immobile's time-series forecasting models is one of many Immobile's 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 Immobile's 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 Immobile

Checking the ongoing alerts about Immobile for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Immobile help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Immobile may become a speculative penny stock
About 81.0% of the company shares are held by company insiders

Additional Tools for Immobile Stock Analysis

When running Immobile's price analysis, check to measure Immobile's 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 Immobile is operating at the current time. Most of Immobile's value examination focuses on studying past and present price action to predict the probability of Immobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Immobile's price. Additionally, you may evaluate how the addition of Immobile to your portfolios can decrease your overall portfolio volatility.