Bank Net (Indonesia) Odds of Future Stock Price Finishing Under 769.72

BANK Stock  IDR 795.00  10.00  1.24%   
Bank Net's future price is the expected price of Bank Net instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Bank Net Indonesia performance during a given time horizon utilizing its historical volatility. Check out Bank Net Backtesting, Bank Net Valuation, Bank Net Correlation, Bank Net Hype Analysis, Bank Net Volatility, Bank Net History as well as Bank Net Performance.
  
Please specify Bank Net's target price for which you would like Bank Net odds to be computed.

Bank Net Target Price Odds to finish below 769.72

The tendency of Bank 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 PriceHorizonTarget PriceOdds to drop to  769.72  or more in 90 days
 795.00 90 days 769.72 
about 1.03
Based on a normal probability distribution, the odds of Bank Net to drop to  769.72  or more in 90 days from now is about 1.03 (This Bank Net Indonesia probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank Net Indonesia price to stay between  769.72  and its current price of 795.0 at the end of the 90-day period is about 5.24 .
Assuming the 90 days trading horizon Bank Net Indonesia has a beta of -0.28 suggesting as returns on the benchmark increase, returns on holding Bank Net are expected to decrease at a much lower rate. During a bear market, however, Bank Net Indonesia is likely to outperform the market. Additionally Bank Net Indonesia has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Bank Net Price Density   
       Price  

Predictive Modules for Bank Net

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank Net Indonesia. 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.
Hype
Prediction
LowEstimatedHigh
793.25795.00796.75
Details
Intrinsic
Valuation
LowRealHigh
689.15690.90874.50
Details
Naive
Forecast
LowNextHigh
786.47788.22789.97
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
788.91798.33807.76
Details

Bank Net Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank Net is not an exception. The market had few large corrections towards the Bank Net'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 Bank Net Indonesia, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank Net within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.11
β
Beta against Dow Jones-0.28
σ
Overall volatility
32.50
Ir
Information ratio -0.15

Bank Net 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 Bank Net for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank Net Indonesia can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Bank Net Indonesia generated a negative expected return over the last 90 days
The company reported the revenue of 36.49 B. Net Loss for the year was (121.28 B) with profit before overhead, payroll, taxes, and interest of 18.7 B.
Bank Net Indonesia has accumulated about 37.67 B in cash with (99.84 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.86.
Roughly 55.0% of the company shares are held by company insiders

Bank Net 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 Bank Stock often depends not only on the future outlook of the current and potential Bank Net'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. Bank Net's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding13.1 B

Bank Net Technical Analysis

Bank Net's future price can be derived by breaking down and analyzing its technical indicators over time. Bank Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Bank Net Indonesia. In general, you should focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environments and drivers.

Bank Net Predictive Forecast Models

Bank Net's time-series forecasting models is one of many Bank Net'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 Bank Net'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.

Things to note about Bank Net Indonesia

Checking the ongoing alerts about Bank Net for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank Net Indonesia help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bank Net Indonesia generated a negative expected return over the last 90 days
The company reported the revenue of 36.49 B. Net Loss for the year was (121.28 B) with profit before overhead, payroll, taxes, and interest of 18.7 B.
Bank Net Indonesia has accumulated about 37.67 B in cash with (99.84 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.86.
Roughly 55.0% of the company shares are held by company insiders

Other Information on Investing in Bank Stock

Bank Net financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank Net security.