MAGNA INTL (Germany) Probability of Future Stock Price Finishing Under 42.42
| MGA Stock | EUR 42.97 0.73 1.73% |
MAGNA |
MAGNA INTL Target Price Odds to finish below 42.42
The tendency of MAGNA 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 drop to € 42.42 or more in 90 days |
| 42.97 | 90 days | 42.42 | roughly 97.0 |
Based on a normal probability distribution, the odds of MAGNA INTL to drop to € 42.42 or more in 90 days from now is roughly 97.0 (This MAGNA INTL probability density function shows the probability of MAGNA Stock to fall within a particular range of prices over 90 days) . Probability of MAGNA INTL price to stay between € 42.42 and its current price of €42.97 at the end of the 90-day period is about 1.46 .
Assuming the 90 days trading horizon the stock has the beta coefficient of 1.15 . This indicates MAGNA INTL market returns are highly-sensitive to returns on the market. As the market goes up or down, MAGNA INTL is expected to follow. Additionally MAGNA INTL has an alpha of 0.0949, implying that it can generate a 0.0949 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). MAGNA INTL Price Density |
| Price |
Predictive Modules for MAGNA INTL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MAGNA INTL. 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.MAGNA INTL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. MAGNA INTL is not an exception. The market had few large corrections towards the MAGNA INTL'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 MAGNA INTL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of MAGNA INTL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | 1.15 | |
σ | Overall volatility | 2.31 | |
Ir | Information ratio | 0.05 |
MAGNA INTL 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 MAGNA Stock often depends not only on the future outlook of the current and potential MAGNA INTL'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. MAGNA INTL's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 285.9 M | |
| Dividends Paid | -514 M | |
| Short Long Term Debt | 662 M |
MAGNA INTL Technical Analysis
MAGNA INTL's future price can be derived by breaking down and analyzing its technical indicators over time. MAGNA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of MAGNA INTL. In general, you should focus on analyzing MAGNA Stock price patterns and their correlations with different microeconomic environments and drivers.
MAGNA INTL Predictive Forecast Models
MAGNA INTL's time-series forecasting models is one of many MAGNA INTL'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 MAGNA INTL'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 MAGNA INTL 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, MAGNA INTL's short interest history, or implied volatility extrapolated from MAGNA INTL options trading.
Other Information on Investing in MAGNA Stock
MAGNA INTL financial ratios help investors to determine whether MAGNA 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 MAGNA with respect to the benefits of owning MAGNA INTL security.