SpareBank (Norway) Probability of Future Stock Price Finishing Over 150.80
| SB1NO Stock | 143.60 0.60 0.42% |
SpareBank |
SpareBank Target Price Odds to finish over 150.80
The tendency of SpareBank 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 over 150.80 or more in 90 days |
| 143.60 | 90 days | 150.80 | roughly 2.75 |
Based on a normal probability distribution, the odds of SpareBank to move over 150.80 or more in 90 days from now is roughly 2.75 (This SpareBank 1 Sr Norge probability density function shows the probability of SpareBank Stock to fall within a particular range of prices over 90 days) . Probability of SpareBank 1 Sr price to stay between its current price of 143.60 and 150.80 at the end of the 90-day period is about 34.08 .
Assuming the 90 days trading horizon SpareBank has a beta of 0.31. This usually implies as returns on the market go up, SpareBank average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SpareBank 1 Sr Norge will be expected to be much smaller as well. Additionally SpareBank 1 Sr Norge has an alpha of 0.086, implying that it can generate a 0.086 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SpareBank Price Density |
| Price |
Predictive Modules for SpareBank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SpareBank 1 Sr. 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.SpareBank Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SpareBank is not an exception. The market had few large corrections towards the SpareBank'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 SpareBank 1 Sr Norge, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SpareBank within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | 0.31 | |
σ | Overall volatility | 4.55 | |
Ir | Information ratio | 0.05 |
SpareBank Technical Analysis
SpareBank's future price can be derived by breaking down and analyzing its technical indicators over time. SpareBank Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SpareBank 1 Sr Norge. In general, you should focus on analyzing SpareBank Stock price patterns and their correlations with different microeconomic environments and drivers.
SpareBank Predictive Forecast Models
SpareBank's time-series forecasting models is one of many SpareBank'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 SpareBank'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 SpareBank 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, SpareBank's short interest history, or implied volatility extrapolated from SpareBank options trading.