Barnes Noble Education Stock Probability of Future Stock Price Finishing Over 10.06
| BNED Stock | USD 10.04 0.16 1.62% |
Barnes |
Barnes Noble Target Price Odds to finish over 10.06
The tendency of Barnes 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 $ 10.06 or more in 90 days |
| 10.04 | 90 days | 10.06 | about 55.85 |
Based on a normal probability distribution, the odds of Barnes Noble to move over $ 10.06 or more in 90 days from now is about 55.85 (This Barnes Noble Education probability density function shows the probability of Barnes Stock to fall within a particular range of prices over 90 days) . Probability of Barnes Noble Education price to stay between its current price of $ 10.04 and $ 10.06 at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days the stock has the beta coefficient of 1.1 suggesting Barnes Noble Education market returns are highly-sensitive to returns on the market. As the market goes up or down, Barnes Noble is expected to follow. Additionally Barnes Noble Education has an alpha of 0.2507, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Barnes Noble Price Density |
| Price |
Predictive Modules for Barnes Noble
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Barnes Noble Education. 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 Barnes Noble'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.
Barnes Noble Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Barnes Noble is not an exception. The market had few large corrections towards the Barnes Noble'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 Barnes Noble Education, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Barnes Noble within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | 1.10 | |
σ | Overall volatility | 1.02 | |
Ir | Information ratio | 0.04 |
Barnes Noble Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Barnes Noble for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Barnes Noble Education can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Barnes Noble had very high historical volatility over the last 90 days | |
| The company reported the previous year's revenue of 1.57 B. Net Loss for the year was (62.48 M) with profit before overhead, payroll, taxes, and interest of 372.76 M. | |
| Barnes Noble Education currently holds about 9.15 M in cash with (5.12 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.17. | |
| Roughly 59.0% of the company shares are held by company insiders | |
| Latest headline from finance.yahoo.com: Your Guide to Cellular Health Hits Best-Seller Status |
Barnes Noble Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Barnes Stock often depends not only on the future outlook of the current and potential Barnes Noble's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Barnes Noble's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.7 M | |
| Cash And Short Term Investments | 10.5 M |
Barnes Noble Technical Analysis
Barnes Noble's future price can be derived by breaking down and analyzing its technical indicators over time. Barnes Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Barnes Noble Education. In general, you should focus on analyzing Barnes Stock price patterns and their correlations with different microeconomic environments and drivers.
Barnes Noble Predictive Forecast Models
Barnes Noble's time-series forecasting models is one of many Barnes Noble'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 Barnes Noble'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.