Infineon Technologies (UK) Probability of Future Stock Price Finishing Over 35.83
0KED Stock | 32.58 1.26 3.72% |
Infineon |
Infineon Technologies Target Price Odds to finish over 35.83
The tendency of Infineon 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 over 35.83 or more in 90 days |
32.58 | 90 days | 35.83 | near 1 |
Based on a normal probability distribution, the odds of Infineon Technologies to move over 35.83 or more in 90 days from now is near 1 (This Infineon Technologies AG probability density function shows the probability of Infineon Stock to fall within a particular range of prices over 90 days) . Probability of Infineon Technologies price to stay between its current price of 32.58 and 35.83 at the end of the 90-day period is about 10.12 .
Assuming the 90 days trading horizon Infineon Technologies AG has a beta of -0.25. This suggests as returns on the benchmark increase, returns on holding Infineon Technologies are expected to decrease at a much lower rate. During a bear market, however, Infineon Technologies AG is likely to outperform the market. Additionally Infineon Technologies AG has an alpha of 0.2118, implying that it can generate a 0.21 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Infineon Technologies Price Density |
Price |
Predictive Modules for Infineon Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Infineon Technologies. 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.Infineon Technologies Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Infineon Technologies is not an exception. The market had few large corrections towards the Infineon Technologies' 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 Infineon Technologies AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Infineon Technologies within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.21 | |
β | Beta against Dow Jones | -0.25 | |
σ | Overall volatility | 1.35 | |
Ir | Information ratio | 0.1 |
Infineon Technologies Technical Analysis
Infineon Technologies' future price can be derived by breaking down and analyzing its technical indicators over time. Infineon Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Infineon Technologies AG. In general, you should focus on analyzing Infineon Stock price patterns and their correlations with different microeconomic environments and drivers.
Infineon Technologies Predictive Forecast Models
Infineon Technologies' time-series forecasting models is one of many Infineon Technologies' 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 Infineon Technologies' 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 Infineon Technologies 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, Infineon Technologies' short interest history, or implied volatility extrapolated from Infineon Technologies options trading.
Additional Tools for Infineon Stock Analysis
When running Infineon Technologies' price analysis, check to measure Infineon Technologies' 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 Infineon Technologies is operating at the current time. Most of Infineon Technologies' value examination focuses on studying past and present price action to predict the probability of Infineon Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infineon Technologies' price. Additionally, you may evaluate how the addition of Infineon Technologies to your portfolios can decrease your overall portfolio volatility.