Bank Qnb (Indonesia) Odds of Future Stock Price Finishing Over 74.19

BKSW Stock  IDR 71.00  1.00  1.43%   
Bank Qnb's future price is the expected price of Bank Qnb 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 Qnb Indonesia performance during a given time horizon utilizing its historical volatility. Check out Bank Qnb Backtesting, Bank Qnb Valuation, Bank Qnb Correlation, Bank Qnb Hype Analysis, Bank Qnb Volatility, Bank Qnb History as well as Bank Qnb Performance.
  
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Bank Qnb Target Price Odds to finish over 74.19

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  74.19  or more in 90 days
 71.00 90 days 74.19 
about 12.89
Based on a normal probability distribution, the odds of Bank Qnb to move over  74.19  or more in 90 days from now is about 12.89 (This Bank Qnb Indonesia probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank Qnb Indonesia price to stay between its current price of  71.00  and  74.19  at the end of the 90-day period is about 11.8 .
Assuming the 90 days trading horizon Bank Qnb Indonesia has a beta of -0.63 suggesting as returns on the benchmark increase, returns on holding Bank Qnb are expected to decrease at a much lower rate. During a bear market, however, Bank Qnb Indonesia is likely to outperform the market. Additionally Bank Qnb Indonesia has an alpha of 0.3304, implying that it can generate a 0.33 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Bank Qnb Price Density   
       Price  

Predictive Modules for Bank Qnb

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 Qnb 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
67.8171.0074.19
Details
Intrinsic
Valuation
LowRealHigh
57.9261.1178.10
Details
Naive
Forecast
LowNextHigh
63.9067.0870.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
65.4074.5883.77
Details

Bank Qnb Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank Qnb is not an exception. The market had few large corrections towards the Bank Qnb'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 Qnb Indonesia, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank Qnb within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.33
β
Beta against Dow Jones-0.63
σ
Overall volatility
7.13
Ir
Information ratio 0.05

Bank Qnb 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 Qnb for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank Qnb 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 Qnb Indonesia had very high historical volatility over the last 90 days
The company reported the revenue of 577.66 B. Net Loss for the year was (1.58 T) with loss before overhead, payroll, taxes, and interest of (1.03 T).
Bank Qnb generates negative cash flow from operations
About 92.0% of the company shares are held by company insiders

Bank Qnb 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 Qnb'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 Qnb's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding20.4 B
Shares Float1.5 B

Bank Qnb Technical Analysis

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

Bank Qnb Predictive Forecast Models

Bank Qnb's time-series forecasting models is one of many Bank Qnb'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 Qnb'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 Qnb Indonesia

Checking the ongoing alerts about Bank Qnb for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank Qnb Indonesia help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bank Qnb Indonesia had very high historical volatility over the last 90 days
The company reported the revenue of 577.66 B. Net Loss for the year was (1.58 T) with loss before overhead, payroll, taxes, and interest of (1.03 T).
Bank Qnb generates negative cash flow from operations
About 92.0% of the company shares are held by company insiders

Other Information on Investing in Bank Stock

Bank Qnb 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 Qnb security.