SANOMA Dusseldorf (Germany) Probability of Future Stock Price Finishing Over 8.25
SNQB Stock | EUR 8.25 0.03 0.36% |
SANOMA |
SANOMA Dusseldorf Target Price Odds to finish over 8.25
The tendency of SANOMA 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 |
8.25 | 90 days | 8.25 | under 4 |
Based on a normal probability distribution, the odds of SANOMA Dusseldorf to move above the current price in 90 days from now is under 4 (This SANOMA Dusseldorf probability density function shows the probability of SANOMA Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon SANOMA Dusseldorf has a beta of -0.22. This usually implies as returns on the benchmark increase, returns on holding SANOMA Dusseldorf are expected to decrease at a much lower rate. During a bear market, however, SANOMA Dusseldorf is likely to outperform the market. Additionally SANOMA Dusseldorf has an alpha of 0.316, implying that it can generate a 0.32 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SANOMA Dusseldorf Price Density |
Price |
Predictive Modules for SANOMA Dusseldorf
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SANOMA Dusseldorf. 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.SANOMA Dusseldorf Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SANOMA Dusseldorf is not an exception. The market had few large corrections towards the SANOMA Dusseldorf'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 SANOMA Dusseldorf, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SANOMA Dusseldorf within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.32 | |
β | Beta against Dow Jones | -0.22 | |
σ | Overall volatility | 0.49 | |
Ir | Information ratio | 0.15 |
SANOMA Dusseldorf 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 SANOMA Stock often depends not only on the future outlook of the current and potential SANOMA Dusseldorf'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. SANOMA Dusseldorf's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 162.9 M | |
Dividends Paid | 87.9 M | |
Short Long Term Debt | 75 M |
SANOMA Dusseldorf Technical Analysis
SANOMA Dusseldorf's future price can be derived by breaking down and analyzing its technical indicators over time. SANOMA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SANOMA Dusseldorf. In general, you should focus on analyzing SANOMA Stock price patterns and their correlations with different microeconomic environments and drivers.
SANOMA Dusseldorf Predictive Forecast Models
SANOMA Dusseldorf's time-series forecasting models is one of many SANOMA Dusseldorf'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 SANOMA Dusseldorf'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 SANOMA Dusseldorf 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, SANOMA Dusseldorf's short interest history, or implied volatility extrapolated from SANOMA Dusseldorf options trading.
Additional Tools for SANOMA Stock Analysis
When running SANOMA Dusseldorf's price analysis, check to measure SANOMA Dusseldorf'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 SANOMA Dusseldorf is operating at the current time. Most of SANOMA Dusseldorf's value examination focuses on studying past and present price action to predict the probability of SANOMA Dusseldorf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SANOMA Dusseldorf's price. Additionally, you may evaluate how the addition of SANOMA Dusseldorf to your portfolios can decrease your overall portfolio volatility.