Lombard Et (France) Probability of Future Stock Price Finishing Under 14.44

MLCAC Stock  EUR 16.70  0.10  0.60%   
Lombard Et's future price is the expected price of Lombard Et 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 Lombard et Medot performance during a given time horizon utilizing its historical volatility. Check out Lombard Et Backtesting, Lombard Et Valuation, Lombard Et Correlation, Lombard Et Hype Analysis, Lombard Et Volatility, Lombard Et History as well as Lombard Et Performance.
  
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Lombard Et Target Price Odds to finish below 14.44

The tendency of Lombard 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 drop to € 14.44  or more in 90 days
 16.70 90 days 14.44 
about 18.16
Based on a normal probability distribution, the odds of Lombard Et to drop to € 14.44  or more in 90 days from now is about 18.16 (This Lombard et Medot probability density function shows the probability of Lombard Stock to fall within a particular range of prices over 90 days) . Probability of Lombard et Medot price to stay between € 14.44  and its current price of €16.7 at the end of the 90-day period is about 75.02 .
Assuming the 90 days trading horizon Lombard Et has a beta of 0.21. This indicates as returns on the market go up, Lombard Et average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Lombard et Medot will be expected to be much smaller as well. Additionally Lombard et Medot has an alpha of 0.1827, implying that it can generate a 0.18 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Lombard Et Price Density   
       Price  

Predictive Modules for Lombard Et

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lombard et Medot. 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 Lombard Et'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
14.8816.7018.52
Details
Intrinsic
Valuation
LowRealHigh
15.0516.8718.69
Details
Naive
Forecast
LowNextHigh
14.1015.9217.73
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.4415.3917.33
Details

Lombard Et Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Lombard Et is not an exception. The market had few large corrections towards the Lombard Et'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 Lombard et Medot, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Lombard Et within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.18
β
Beta against Dow Jones0.21
σ
Overall volatility
0.94
Ir
Information ratio 0.07

Lombard Et 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 Lombard Et for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Lombard et Medot can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
About 70.0% of the company outstanding shares are owned by corporate insiders

Lombard Et 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 Lombard Stock often depends not only on the future outlook of the current and potential Lombard Et'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. Lombard Et's indicators that are reflective of the short sentiment are summarized in the table below.
Dividend Yield0.004
Forward Annual Dividend Rate0.05
Shares Float23.5 K

Lombard Et Technical Analysis

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

Lombard Et Predictive Forecast Models

Lombard Et's time-series forecasting models is one of many Lombard Et'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 Lombard Et'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 Lombard et Medot

Checking the ongoing alerts about Lombard Et for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Lombard et Medot help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
About 70.0% of the company outstanding shares are owned by corporate insiders

Additional Tools for Lombard Stock Analysis

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