Gevelot (France) Odds of Future Stock Price Finishing Over 185.30

ALGEV Stock  EUR 188.00  1.00  0.53%   
Gevelot's future price is the expected price of Gevelot 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 Gevelot performance during a given time horizon utilizing its historical volatility. Check out Gevelot Backtesting, Gevelot Valuation, Gevelot Correlation, Gevelot Hype Analysis, Gevelot Volatility, Gevelot History as well as Gevelot Performance.
  
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Gevelot Target Price Odds to finish over 185.30

The tendency of Gevelot 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 stay above € 185.30  in 90 days
 188.00 90 days 185.30 
under 95
Based on a normal probability distribution, the odds of Gevelot to stay above € 185.30  in 90 days from now is under 95 (This Gevelot probability density function shows the probability of Gevelot Stock to fall within a particular range of prices over 90 days) . Probability of Gevelot price to stay between € 185.30  and its current price of €188.0 at the end of the 90-day period is about 6.55 .
Assuming the 90 days trading horizon Gevelot has a beta of 0.16. This suggests as returns on the market go up, Gevelot average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Gevelot will be expected to be much smaller as well. Additionally Gevelot 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.
   Gevelot Price Density   
       Price  

Predictive Modules for Gevelot

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gevelot. 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 Gevelot'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
0.000.001.37
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.37
Details
Naive
Forecast
LowNextHigh
181.07182.44183.81
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
187.48189.38191.27
Details

Gevelot Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Gevelot is not an exception. The market had few large corrections towards the Gevelot'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 Gevelot, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Gevelot within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.11
β
Beta against Dow Jones0.16
σ
Overall volatility
6.59
Ir
Information ratio -0.16

Gevelot 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 Gevelot for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Gevelot can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Gevelot generated a negative expected return over the last 90 days
About 51.0% of the company shares are held by company insiders

Gevelot 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 Gevelot Stock often depends not only on the future outlook of the current and potential Gevelot'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. Gevelot's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding769.5 K
Cash And Short Term Investments147.4 M

Gevelot Technical Analysis

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

Gevelot Predictive Forecast Models

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

Checking the ongoing alerts about Gevelot for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Gevelot help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Gevelot generated a negative expected return over the last 90 days
About 51.0% of the company shares are held by company insiders

Additional Tools for Gevelot Stock Analysis

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