Ren Redes (UK) Probability of Future Stock Price Finishing Over 2.57
| 0KBT Stock | 2.57 0.17 7.08% |
Ren |
Ren Redes Target Price Odds to finish over 2.57
The tendency of Ren 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 |
| 2.57 | 90 days | 2.57 | about 10.47 |
Based on a normal probability distribution, the odds of Ren Redes to move above the current price in 90 days from now is about 10.47 (This Ren Redes Energeticas probability density function shows the probability of Ren Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Ren Redes has a beta of 0.18. This suggests as returns on the market go up, Ren Redes average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Ren Redes Energeticas will be expected to be much smaller as well. Additionally Ren Redes Energeticas has an alpha of 0.0246, implying that it can generate a 0.0246 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Ren Redes Price Density |
| Price |
Predictive Modules for Ren Redes
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ren Redes Energeticas. 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.Ren Redes Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Ren Redes is not an exception. The market had few large corrections towards the Ren Redes' 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 Ren Redes Energeticas, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ren Redes within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.18 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | -0.11 |
Ren Redes 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 Ren Redes for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Ren Redes Energeticas 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 42.0% of the company shares are owned by insiders or employees |
Ren Redes Technical Analysis
Ren Redes' future price can be derived by breaking down and analyzing its technical indicators over time. Ren Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Ren Redes Energeticas. In general, you should focus on analyzing Ren Stock price patterns and their correlations with different microeconomic environments and drivers.
Ren Redes Predictive Forecast Models
Ren Redes' time-series forecasting models is one of many Ren Redes' 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 Ren Redes' 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 Ren Redes Energeticas
Checking the ongoing alerts about Ren Redes for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Ren Redes Energeticas help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| About 42.0% of the company shares are owned by insiders or employees |
Additional Tools for Ren Stock Analysis
When running Ren Redes' price analysis, check to measure Ren Redes' 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 Ren Redes is operating at the current time. Most of Ren Redes' value examination focuses on studying past and present price action to predict the probability of Ren Redes' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ren Redes' price. Additionally, you may evaluate how the addition of Ren Redes to your portfolios can decrease your overall portfolio volatility.