Volvo AB (UK) Odds of Future Stock Price Finishing Over 278.30
0MHW Stock | 278.30 5.10 1.87% |
Volvo |
Volvo AB Target Price Odds to finish over 278.30
The tendency of Volvo 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 |
278.30 | 90 days | 278.30 | about 20.18 |
Based on a normal probability distribution, the odds of Volvo AB to move above the current price in 90 days from now is about 20.18 (This Volvo AB Series probability density function shows the probability of Volvo Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Volvo AB has a beta of 0.35. This suggests as returns on the market go up, Volvo AB average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Volvo AB Series will be expected to be much smaller as well. Additionally Volvo AB Series 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. Volvo AB Price Density |
Price |
Predictive Modules for Volvo AB
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Volvo AB Series. 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.Volvo AB Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Volvo AB is not an exception. The market had few large corrections towards the Volvo AB'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 Volvo AB Series, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Volvo AB within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.06 | |
β | Beta against Dow Jones | 0.35 | |
σ | Overall volatility | 7.95 | |
Ir | Information ratio | -0.1 |
Volvo AB 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 Volvo AB for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Volvo AB Series can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.About 65.0% of the company shares are owned by institutions such as pension funds |
Volvo AB Technical Analysis
Volvo AB's future price can be derived by breaking down and analyzing its technical indicators over time. Volvo Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Volvo AB Series. In general, you should focus on analyzing Volvo Stock price patterns and their correlations with different microeconomic environments and drivers.
Volvo AB Predictive Forecast Models
Volvo AB's time-series forecasting models is one of many Volvo AB'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 Volvo AB'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 Volvo AB Series
Checking the ongoing alerts about Volvo AB for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Volvo AB Series help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
About 65.0% of the company shares are owned by institutions such as pension funds |
Additional Tools for Volvo Stock Analysis
When running Volvo AB's price analysis, check to measure Volvo AB'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 Volvo AB is operating at the current time. Most of Volvo AB's value examination focuses on studying past and present price action to predict the probability of Volvo AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Volvo AB's price. Additionally, you may evaluate how the addition of Volvo AB to your portfolios can decrease your overall portfolio volatility.