Sanoma Oyj (Germany) Probability of Future Stock Price Finishing Over 6.92
| SNQB Stock | 6.92 0.02 0.29% |
Sanoma |
Sanoma Oyj Target Price Odds to finish over 6.92
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 |
| 6.92 | 90 days | 6.92 | about 20.4 |
Based on a normal probability distribution, the odds of Sanoma Oyj to move above the current price in 90 days from now is about 20.4 (This Sanoma Oyj 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 Oyj has a beta of 0.14. This usually implies as returns on the market go up, Sanoma Oyj average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Sanoma Oyj will be expected to be much smaller as well. Additionally Sanoma Oyj has an alpha of 0.0685, implying that it can generate a 0.0685 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Sanoma Oyj Price Density |
| Price |
Predictive Modules for Sanoma Oyj
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 Oyj. 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 Oyj Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sanoma Oyj is not an exception. The market had few large corrections towards the Sanoma Oyj'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 Oyj, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sanoma Oyj within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.14 | |
σ | Overall volatility | 0.29 | |
Ir | Information ratio | -0.0031 |
Sanoma Oyj 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 Oyj'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 Oyj'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 Oyj Technical Analysis
Sanoma Oyj'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 Oyj. In general, you should focus on analyzing Sanoma Stock price patterns and their correlations with different microeconomic environments and drivers.
Sanoma Oyj Predictive Forecast Models
Sanoma Oyj's time-series forecasting models is one of many Sanoma Oyj'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 Oyj'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 Oyj 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 Oyj's short interest history, or implied volatility extrapolated from Sanoma Oyj options trading.
Additional Tools for Sanoma Stock Analysis
When running Sanoma Oyj's price analysis, check to measure Sanoma Oyj'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 Oyj is operating at the current time. Most of Sanoma Oyj's value examination focuses on studying past and present price action to predict the probability of Sanoma Oyj'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 Oyj's price. Additionally, you may evaluate how the addition of Sanoma Oyj to your portfolios can decrease your overall portfolio volatility.