Koncar Elektroindustrij (Croatia) Probability of Future Stock Price Finishing Over 408.00
| KOEI Stock | 408.00 2.00 0.49% |
Koncar |
Koncar Elektroindustrij Target Price Odds to finish over 408.00
The tendency of Koncar 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 |
| 408.00 | 90 days | 408.00 | about 16.44 |
Based on a normal probability distribution, the odds of Koncar Elektroindustrij to move above the current price in 90 days from now is about 16.44 (This Koncar Elektroindustrija dd probability density function shows the probability of Koncar Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Koncar Elektroindustrij has a beta of 0.0631. This indicates as returns on the market go up, Koncar Elektroindustrij average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Koncar Elektroindustrija dd will be expected to be much smaller as well. Additionally Koncar Elektroindustrija dd has an alpha of 0.134, implying that it can generate a 0.13 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Koncar Elektroindustrij Price Density |
| Price |
Predictive Modules for Koncar Elektroindustrij
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Koncar Elektroindustrij. 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.Koncar Elektroindustrij Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Koncar Elektroindustrij is not an exception. The market had few large corrections towards the Koncar Elektroindustrij'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 Koncar Elektroindustrija dd, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Koncar Elektroindustrij within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.13 | |
β | Beta against Dow Jones | 0.06 | |
σ | Overall volatility | 19.33 | |
Ir | Information ratio | 0.02 |
Koncar Elektroindustrij Technical Analysis
Koncar Elektroindustrij's future price can be derived by breaking down and analyzing its technical indicators over time. Koncar Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Koncar Elektroindustrija dd. In general, you should focus on analyzing Koncar Stock price patterns and their correlations with different microeconomic environments and drivers.
Koncar Elektroindustrij Predictive Forecast Models
Koncar Elektroindustrij's time-series forecasting models is one of many Koncar Elektroindustrij'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 Koncar Elektroindustrij'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 Koncar Elektroindustrij 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, Koncar Elektroindustrij's short interest history, or implied volatility extrapolated from Koncar Elektroindustrij options trading.
Additional Tools for Koncar Stock Analysis
When running Koncar Elektroindustrij's price analysis, check to measure Koncar Elektroindustrij'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 Koncar Elektroindustrij is operating at the current time. Most of Koncar Elektroindustrij's value examination focuses on studying past and present price action to predict the probability of Koncar Elektroindustrij's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Koncar Elektroindustrij's price. Additionally, you may evaluate how the addition of Koncar Elektroindustrij to your portfolios can decrease your overall portfolio volatility.