DKIMOB (Denmark) Chance of Future Stock Price Finishing Over 93.42
| DKIMOB Stock | DKK 93.42 0.05 0.05% |
DKIMOB |
DKIMOB Target Price Odds to finish over 93.42
The tendency of DKIMOB 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 |
| 93.42 | 90 days | 93.42 | about 54.12 |
Based on a normal probability distribution, the odds of DKIMOB to move above the current price in 90 days from now is about 54.12 (This Investeringsforeningen Danske Invest probability density function shows the probability of DKIMOB Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon DKIMOB has a beta of 0.0345 suggesting as returns on the market go up, DKIMOB average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Investeringsforeningen Danske Invest will be expected to be much smaller as well. Additionally Investeringsforeningen Danske Invest has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. DKIMOB Price Density |
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Predictive Modules for DKIMOB
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Investeringsforeningen. 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 DKIMOB'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.
DKIMOB Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. DKIMOB is not an exception. The market had few large corrections towards the DKIMOB'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 Investeringsforeningen Danske Invest, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of DKIMOB within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.0081 | |
β | Beta against NYSE Composite | 0.03 | |
σ | Overall volatility | 0.29 | |
Ir | Information ratio | -0.64 |
DKIMOB Technical Analysis
DKIMOB's future price can be derived by breaking down and analyzing its technical indicators over time. DKIMOB Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Investeringsforeningen Danske Invest. In general, you should focus on analyzing DKIMOB Stock price patterns and their correlations with different microeconomic environments and drivers.
DKIMOB Predictive Forecast Models
DKIMOB's time-series forecasting models is one of many DKIMOB'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 DKIMOB'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 DKIMOB 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, DKIMOB's short interest history, or implied volatility extrapolated from DKIMOB options trading.
Check out DKIMOB Backtesting, DKIMOB Valuation, DKIMOB Correlation, DKIMOB Hype Analysis, DKIMOB Volatility, DKIMOB History as well as DKIMOB Performance. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Complementary Tools for DKIMOB Stock analysis
When running DKIMOB's price analysis, check to measure DKIMOB'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 DKIMOB is operating at the current time. Most of DKIMOB's value examination focuses on studying past and present price action to predict the probability of DKIMOB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DKIMOB's price. Additionally, you may evaluate how the addition of DKIMOB to your portfolios can decrease your overall portfolio volatility.
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