Inpro SA (Poland) Odds of Future Stock Price Finishing Over 6.15
| INP Stock | 6.30 0.05 0.79% |
Inpro |
Inpro SA Target Price Odds to finish over 6.15
The tendency of Inpro 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 above 6.15 in 90 days |
| 6.30 | 90 days | 6.15 | about 79.34 |
Based on a normal probability distribution, the odds of Inpro SA to stay above 6.15 in 90 days from now is about 79.34 (This Inpro SA probability density function shows the probability of Inpro Stock to fall within a particular range of prices over 90 days) . Probability of Inpro SA price to stay between 6.15 and its current price of 6.3 at the end of the 90-day period is about 23.91 .
Assuming the 90 days trading horizon Inpro SA has a beta of -0.0768. This usually indicates as returns on the benchmark increase, returns on holding Inpro SA are expected to decrease at a much lower rate. During a bear market, however, Inpro SA is likely to outperform the market. Additionally Inpro 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. Inpro SA Price Density |
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Predictive Modules for Inpro 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 Inpro 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Inpro SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Inpro SA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Inpro SA is not an exception. The market had few large corrections towards the Inpro 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 Inpro SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Inpro SA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.13 | |
β | Beta against Dow Jones | -0.08 | |
σ | Overall volatility | 0.22 | |
Ir | Information ratio | -0.08 |
Inpro SA Technical Analysis
Inpro SA's future price can be derived by breaking down and analyzing its technical indicators over time. Inpro Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Inpro SA. In general, you should focus on analyzing Inpro Stock price patterns and their correlations with different microeconomic environments and drivers.
Inpro SA Predictive Forecast Models
Inpro SA's time-series forecasting models is one of many Inpro 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 Inpro 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.
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 Inpro SA 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, Inpro SA's short interest history, or implied volatility extrapolated from Inpro SA options trading.
Additional Tools for Inpro Stock Analysis
When running Inpro SA's price analysis, check to measure Inpro 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 Inpro SA is operating at the current time. Most of Inpro SA's value examination focuses on studying past and present price action to predict the probability of Inpro 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 Inpro SA's price. Additionally, you may evaluate how the addition of Inpro SA to your portfolios can decrease your overall portfolio volatility.