Bank Artha (Indonesia) Probability of Future Stock Price Finishing Over 436.0

INPC Stock  IDR 394.00  42.00  9.63%   
Bank Artha's future price is the expected price of Bank Artha 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 Artha Graha performance during a given time horizon utilizing its historical volatility. Check out Bank Artha Backtesting, Bank Artha Valuation, Bank Artha Correlation, Bank Artha Hype Analysis, Bank Artha Volatility, Bank Artha History as well as Bank Artha Performance.
  
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Bank Artha Target Price Odds to finish over 436.0

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  436.00  or more in 90 days
 394.00 90 days 436.00 
about 1.44
Based on a normal probability distribution, the odds of Bank Artha to move over  436.00  or more in 90 days from now is about 1.44 (This Bank Artha Graha probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank Artha Graha price to stay between its current price of  394.00  and  436.00  at the end of the 90-day period is about 1.75 .
Assuming the 90 days trading horizon Bank Artha has a beta of 0.72. This usually indicates as returns on the market go up, Bank Artha average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Bank Artha Graha will be expected to be much smaller as well. In addition to that Bank Artha Graha has an alpha of 3.1763, implying that it can generate a 3.18 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Bank Artha Price Density   
       Price  

Predictive Modules for Bank Artha

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 Artha Graha. 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
425.81436.00446.19
Details
Intrinsic
Valuation
LowRealHigh
333.31343.50479.60
Details
Naive
Forecast
LowNextHigh
435.83446.02456.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
-45.01221.10487.20
Details

Bank Artha Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank Artha is not an exception. The market had few large corrections towards the Bank Artha'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 Artha Graha, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank Artha within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
3.18
β
Beta against Dow Jones0.72
σ
Overall volatility
126.31
Ir
Information ratio 0.32

Bank Artha 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 Artha for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank Artha Graha 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 Artha Graha is way too risky over 90 days horizon
Bank Artha Graha appears to be risky and price may revert if volatility continues
The company reported the revenue of 1.07 T. Net Loss for the year was (168.06 B) with profit before overhead, payroll, taxes, and interest of 487.87 B.
About 43.0% of the company shares are held by company insiders

Bank Artha 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 Artha'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 Artha's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding20.2 B

Bank Artha Technical Analysis

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

Bank Artha Predictive Forecast Models

Bank Artha's time-series forecasting models is one of many Bank Artha'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 Artha'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 Artha Graha

Checking the ongoing alerts about Bank Artha for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank Artha Graha help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bank Artha Graha is way too risky over 90 days horizon
Bank Artha Graha appears to be risky and price may revert if volatility continues
The company reported the revenue of 1.07 T. Net Loss for the year was (168.06 B) with profit before overhead, payroll, taxes, and interest of 487.87 B.
About 43.0% of the company shares are held by company insiders

Other Information on Investing in Bank Stock

Bank Artha 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 Artha security.