DKIDKA (Denmark) Chance of Future Fund Price Finishing Over 1201.6
| DKIDKA Fund | DKK 1,218 5.15 0.42% |
DKIDKA |
DKIDKA Target Price Odds to finish over 1201.6
The tendency of DKIDKA Fund 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 kr 1,202 in 90 days |
| 1,218 | 90 days | 1,202 | about 20.07 |
Based on a normal probability distribution, the odds of DKIDKA to stay above kr 1,202 in 90 days from now is about 20.07 (This Investeringsforeningen Danske Invest probability density function shows the probability of DKIDKA Fund to fall within a particular range of prices over 90 days) . Probability of Investeringsforeningen price to stay between kr 1,202 and its current price of kr1218.05 at the end of the 90-day period is about 12.94 .
Assuming the 90 days trading horizon DKIDKA has a beta of 0.14 suggesting as returns on the market go up, DKIDKA 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 an alpha of 0.0246, implying that it can generate a 0.0246 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). DKIDKA Price Density |
| Price |
Predictive Modules for DKIDKA
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 fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.DKIDKA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. DKIDKA is not an exception. The market had few large corrections towards the DKIDKA'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 DKIDKA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.14 | |
σ | Overall volatility | 26.22 | |
Ir | Information ratio | 0.1 |
DKIDKA Technical Analysis
DKIDKA's future price can be derived by breaking down and analyzing its technical indicators over time. DKIDKA Fund 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 DKIDKA Fund price patterns and their correlations with different microeconomic environments and drivers.
DKIDKA Predictive Forecast Models
DKIDKA's time-series forecasting models is one of many DKIDKA's fund 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 DKIDKA'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 fund 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 DKIDKA 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, DKIDKA's short interest history, or implied volatility extrapolated from DKIDKA options trading.
Other Information on Investing in DKIDKA Fund
DKIDKA financial ratios help investors to determine whether DKIDKA Fund 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 DKIDKA with respect to the benefits of owning DKIDKA security.
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