KAUFMAN ET (Germany) Probability of Future Stock Price Finishing Over 31.80

3GH Stock  EUR 31.80  0.15  0.47%   
KAUFMAN ET's future price is the expected price of KAUFMAN 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 KAUFMAN ET BROAD performance during a given time horizon utilizing its historical volatility. Check out KAUFMAN ET Backtesting, KAUFMAN ET Valuation, KAUFMAN ET Correlation, KAUFMAN ET Hype Analysis, KAUFMAN ET Volatility, KAUFMAN ET History as well as KAUFMAN ET Performance.
  
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KAUFMAN 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 KAUFMAN Stock often depends not only on the future outlook of the current and potential KAUFMAN 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. KAUFMAN ET's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding21 M
Dividends Paid-39.3 M
Short Long Term Debt4.2 M

KAUFMAN ET Technical Analysis

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

KAUFMAN ET Predictive Forecast Models

KAUFMAN ET's time-series forecasting models is one of many KAUFMAN 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 KAUFMAN 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards KAUFMAN ET in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, KAUFMAN ET's short interest history, or implied volatility extrapolated from KAUFMAN ET options trading.

Other Information on Investing in KAUFMAN Stock

KAUFMAN ET financial ratios help investors to determine whether KAUFMAN Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in KAUFMAN with respect to the benefits of owning KAUFMAN ET security.