Bank Net (Indonesia) Analysis

Bank Stock Analysis Notes

About 55.0% of the company shares are held by company insiders. The company has Price/Earnings (P/E) ratio of 688.52. Bank Net Indonesia recorded a loss per share of 13.02. The entity had not issued any dividends in recent years. PT Bank Net Indonesia Syariah Tbk provides sharia banking products and services for corporate and commercial customers in Indonesia. PT Bank Net Indonesia Syariah Tbk is a subsidiary of PT NTI Global Indonesia. Bank Net operates under BanksRegional classification in Indonesia and is traded on Jakarta Stock Exchange. It employs 28 people. For more info on Bank Net Indonesia please contact the company at 62 21 8550 0947 or go to https://aladinbank.id.

Bank Net Indonesia Investment Alerts

Bank Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 19.01 T. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Bank Net's market, we take the total number of its shares issued and multiply it by Bank Net's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Technical Drivers

As of the 24th of November, Bank Net shows the Risk Adjusted Performance of (0.06), mean deviation of 1.11, and Standard Deviation of 1.75. Bank Net Indonesia technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.

Bank Net Indonesia Price Movement Analysis

Bank Net Outstanding Bonds

Bank Net Predictive Daily Indicators

Bank Net Forecast Models

Bank Net's time-series forecasting models are one of many Bank Net's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These 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 market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Bank Net prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Bank shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Bank Net. By using and applying Bank Stock analysis, traders can create a robust methodology for identifying Bank entry and exit points for their positions.

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.