Vinci SA (UK) Odds of Future Stock Price Finishing Under 109.49
| 0NQM Stock | 100.82 0.22 0.22% |
Vinci |
Vinci SA Target Price Odds to finish below 109.49
The tendency of Vinci 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 stay under 109.49 after 90 days |
| 100.82 | 90 days | 109.49 | under 95 |
Based on a normal probability distribution, the odds of Vinci SA to stay under 109.49 after 90 days from now is under 95 (This Vinci SA probability density function shows the probability of Vinci Stock to fall within a particular range of prices over 90 days) . Probability of Vinci SA price to stay between its current price of 100.82 and 109.49 at the end of the 90-day period is about 73.11 .
Assuming the 90 days trading horizon Vinci SA has a beta of 0.0867. This suggests as returns on the market go up, Vinci SA average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Vinci SA will be expected to be much smaller as well. Additionally Vinci SA has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Vinci SA Price Density |
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Predictive Modules for Vinci SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vinci SA. 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.Vinci SA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Vinci SA is not an exception. The market had few large corrections towards the Vinci SA'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 Vinci SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Vinci SA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.13 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 3.61 | |
Ir | Information ratio | -0.2 |
Vinci SA Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Vinci SA for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Vinci SA can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Vinci SA generated a negative expected return over the last 90 days |
Vinci SA Technical Analysis
Vinci SA's future price can be derived by breaking down and analyzing its technical indicators over time. Vinci Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Vinci SA. In general, you should focus on analyzing Vinci Stock price patterns and their correlations with different microeconomic environments and drivers.
Vinci SA Predictive Forecast Models
Vinci SA's time-series forecasting models is one of many Vinci SA'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 Vinci SA'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.
Things to note about Vinci SA
Checking the ongoing alerts about Vinci SA for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Vinci SA help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Vinci SA generated a negative expected return over the last 90 days |
Additional Tools for Vinci Stock Analysis
When running Vinci SA's price analysis, check to measure Vinci SA'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 Vinci SA is operating at the current time. Most of Vinci SA's value examination focuses on studying past and present price action to predict the probability of Vinci SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vinci SA's price. Additionally, you may evaluate how the addition of Vinci SA to your portfolios can decrease your overall portfolio volatility.