BankInvest Hojrentelande (Denmark) Probability of Future Fund Price Finishing Over 52.85
| BAIEMOBA | DKK 53.58 0.20 0.37% |
BankInvest |
BankInvest Hojrentelande Target Price Odds to finish over 52.85
The tendency of BankInvest 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 52.85 in 90 days |
| 53.58 | 90 days | 52.85 | about 75.46 |
Based on a normal probability distribution, the odds of BankInvest Hojrentelande to stay above kr 52.85 in 90 days from now is about 75.46 (This BankInvest Hojrentelande probability density function shows the probability of BankInvest Fund to fall within a particular range of prices over 90 days) . Probability of BankInvest Hojrentelande price to stay between kr 52.85 and its current price of kr53.58 at the end of the 90-day period is about 57.92 .
Assuming the 90 days trading horizon BankInvest Hojrentelande has a beta of -0.0266 suggesting as returns on the benchmark increase, returns on holding BankInvest Hojrentelande are expected to decrease at a much lower rate. During a bear market, however, BankInvest Hojrentelande is likely to outperform the market. Additionally BankInvest Hojrentelande has an alpha of 0.0012, implying that it can generate a 0.00115 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BankInvest Hojrentelande Price Density |
| Price |
Predictive Modules for BankInvest Hojrentelande
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BankInvest Hojrentelande. 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.BankInvest Hojrentelande Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BankInvest Hojrentelande is not an exception. The market had few large corrections towards the BankInvest Hojrentelande'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 BankInvest Hojrentelande, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BankInvest Hojrentelande within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | -0.03 | |
σ | Overall volatility | 0.45 | |
Ir | Information ratio | 0.34 |
BankInvest Hojrentelande Technical Analysis
BankInvest Hojrentelande's future price can be derived by breaking down and analyzing its technical indicators over time. BankInvest Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BankInvest Hojrentelande. In general, you should focus on analyzing BankInvest Fund price patterns and their correlations with different microeconomic environments and drivers.
BankInvest Hojrentelande Predictive Forecast Models
BankInvest Hojrentelande's time-series forecasting models is one of many BankInvest Hojrentelande'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 BankInvest Hojrentelande'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 BankInvest Hojrentelande 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, BankInvest Hojrentelande's short interest history, or implied volatility extrapolated from BankInvest Hojrentelande options trading.
Other Information on Investing in BankInvest Fund
BankInvest Hojrentelande financial ratios help investors to determine whether BankInvest 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 BankInvest with respect to the benefits of owning BankInvest Hojrentelande security.
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