Digi Communications (Romania) Probability of Future Stock Price Finishing Over 65.38
| DIGI Stock | 64.80 0.20 0.31% |
Digi |
Digi Communications Target Price Odds to finish over 65.38
The tendency of Digi 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 65.38 or more in 90 days |
| 64.80 | 90 days | 65.38 | about 57.03 |
Based on a normal probability distribution, the odds of Digi Communications to move over 65.38 or more in 90 days from now is about 57.03 (This Digi Communications NV probability density function shows the probability of Digi Stock to fall within a particular range of prices over 90 days) . Probability of Digi Communications price to stay between its current price of 64.80 and 65.38 at the end of the 90-day period is about 12.42 .
Assuming the 90 days trading horizon Digi Communications NV has a beta of -0.1 suggesting as returns on the benchmark increase, returns on holding Digi Communications are expected to decrease at a much lower rate. During a bear market, however, Digi Communications NV is likely to outperform the market. Additionally Digi Communications NV has an alpha of 0.0763, implying that it can generate a 0.0763 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Digi Communications Price Density |
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Predictive Modules for Digi Communications
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digi Communications. 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.Digi Communications Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Digi Communications is not an exception. The market had few large corrections towards the Digi Communications' 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 Digi Communications NV, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Digi Communications within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 1.75 | |
Ir | Information ratio | -0.05 |
Digi Communications Technical Analysis
Digi Communications' future price can be derived by breaking down and analyzing its technical indicators over time. Digi Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Digi Communications NV. In general, you should focus on analyzing Digi Stock price patterns and their correlations with different microeconomic environments and drivers.
Digi Communications Predictive Forecast Models
Digi Communications' time-series forecasting models is one of many Digi Communications' 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 Digi Communications' 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 Digi Communications 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, Digi Communications' short interest history, or implied volatility extrapolated from Digi Communications options trading.
Other Information on Investing in Digi Stock
Digi Communications financial ratios help investors to determine whether Digi 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 Digi with respect to the benefits of owning Digi Communications security.