Kalekim Kimyevi (Turkey) Probability of Future Stock Price Finishing Under 33.07
| KLKIM Stock | 31.20 0.52 1.64% |
Kalekim |
Kalekim Kimyevi Target Price Odds to finish below 33.07
The tendency of Kalekim 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 under 33.07 after 90 days |
| 31.20 | 90 days | 33.07 | about 91.29 |
Based on a normal probability distribution, the odds of Kalekim Kimyevi to stay under 33.07 after 90 days from now is about 91.29 (This Kalekim Kimyevi Maddeler probability density function shows the probability of Kalekim Stock to fall within a particular range of prices over 90 days) . Probability of Kalekim Kimyevi Maddeler price to stay between its current price of 31.20 and 33.07 at the end of the 90-day period is about 15.41 .
Assuming the 90 days trading horizon Kalekim Kimyevi has a beta of 0.39. This indicates as returns on the market go up, Kalekim Kimyevi average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Kalekim Kimyevi Maddeler will be expected to be much smaller as well. Additionally Kalekim Kimyevi Maddeler has an alpha of 0.2665, implying that it can generate a 0.27 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Kalekim Kimyevi Price Density |
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Predictive Modules for Kalekim Kimyevi
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kalekim Kimyevi Maddeler. 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.Kalekim Kimyevi Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kalekim Kimyevi is not an exception. The market had few large corrections towards the Kalekim Kimyevi'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 Kalekim Kimyevi Maddeler, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kalekim Kimyevi within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.27 | |
β | Beta against Dow Jones | 0.39 | |
σ | Overall volatility | 2.84 | |
Ir | Information ratio | 0.08 |
Kalekim Kimyevi Technical Analysis
Kalekim Kimyevi's future price can be derived by breaking down and analyzing its technical indicators over time. Kalekim Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kalekim Kimyevi Maddeler. In general, you should focus on analyzing Kalekim Stock price patterns and their correlations with different microeconomic environments and drivers.
Kalekim Kimyevi Predictive Forecast Models
Kalekim Kimyevi's time-series forecasting models is one of many Kalekim Kimyevi'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 Kalekim Kimyevi'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 Kalekim Kimyevi 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, Kalekim Kimyevi's short interest history, or implied volatility extrapolated from Kalekim Kimyevi options trading.