Bank Panin (Indonesia) Probability of Future Stock Price Finishing Over 59.75

PNBS Stock  IDR 51.00  1.00  2.00%   
Bank Panin's future price is the expected price of Bank Panin 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 Panin Syariah performance during a given time horizon utilizing its historical volatility. Check out Bank Panin Backtesting, Bank Panin Valuation, Bank Panin Correlation, Bank Panin Hype Analysis, Bank Panin Volatility, Bank Panin History as well as Bank Panin Performance.
  
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Bank Panin Target Price Odds to finish over 59.75

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 move over  59.75  or more in 90 days
 51.00 90 days 59.75 
near 1
Based on a normal probability distribution, the odds of Bank Panin to move over  59.75  or more in 90 days from now is near 1 (This Bank Panin Syariah probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank Panin Syariah price to stay between its current price of  51.00  and  59.75  at the end of the 90-day period is about 92.97 .
Assuming the 90 days trading horizon Bank Panin Syariah has a beta of -0.0127 indicating as returns on the benchmark increase, returns on holding Bank Panin are expected to decrease at a much lower rate. During a bear market, however, Bank Panin Syariah is likely to outperform the market. Additionally Bank Panin Syariah 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 Panin Price Density   
       Price  

Predictive Modules for Bank Panin

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 Panin Syariah. 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
48.0750.0051.93
Details
Intrinsic
Valuation
LowRealHigh
41.7543.6855.00
Details

Bank Panin Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank Panin is not an exception. The market had few large corrections towards the Bank Panin'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 Panin Syariah, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank Panin within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.02
β
Beta against Dow Jones-0.01
σ
Overall volatility
1.50
Ir
Information ratio -0.07

Bank Panin 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 Panin for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank Panin Syariah 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 Panin Syariah generated a negative expected return over the last 90 days
The company reported the revenue of 413.5 B. Net Loss for the year was (818.11 B) with loss before overhead, payroll, taxes, and interest of (612.35 B).
About 69.0% of the company outstanding shares are owned by corporate insiders

Bank Panin 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 Panin'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 Panin's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding38.8 B

Bank Panin Technical Analysis

Bank Panin'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 Panin Syariah. In general, you should focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environments and drivers.

Bank Panin Predictive Forecast Models

Bank Panin's time-series forecasting models is one of many Bank Panin'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 Panin'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 Panin Syariah

Checking the ongoing alerts about Bank Panin for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank Panin Syariah help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bank Panin Syariah generated a negative expected return over the last 90 days
The company reported the revenue of 413.5 B. Net Loss for the year was (818.11 B) with loss before overhead, payroll, taxes, and interest of (612.35 B).
About 69.0% of the company outstanding shares are owned by corporate insiders

Other Information on Investing in Bank Stock

Bank Panin 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 Panin security.