Pan Asia (Sri Lanka) Analysis
| PABCN0000 | LKR 36.10 0.20 0.55% |
Pan Asia Banking is fairly valued with Real Value of 34.95 and Hype Value of 36.3. The main objective of Pan Asia stock analysis is to determine its intrinsic value, which is an estimate of what Pan Asia Banking is worth, separate from its market price. There are two main types of Pan Asia's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Pan Asia's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Pan Asia's stock to identify patterns and trends that may indicate its future price movements.
The Pan Asia stock is traded in Sri Lanka on Colombo Stock Exchange, with the market opening at 10:30:00 and closing at 14:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Sri Lanka. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Pan Asia's ongoing operational relationships across important fundamental and technical indicators.
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Pan Asia Thematic Classifications
In addition to having Pan Asia stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | BanksAll money banks and credit services |
Technical Drivers
As of the 4th of March, Pan Asia holds the Risk Adjusted Performance of 0.1682, coefficient of variation of 463.78, and Semi Deviation of 1.6. Our technical analysis interface allows you to check existing technical drivers of Pan Asia Banking, as well as the relationship between them.Pan Asia Banking Price Movement Analysis
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Pan Asia middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Pan Asia Banking. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Pan Asia Outstanding Bonds
Pan Asia issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Pan Asia Banking uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Pan bonds can be classified according to their maturity, which is the date when Pan Asia Banking has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
Pan Asia Predictive Daily Indicators
Pan Asia intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Pan Asia stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Pan Asia Forecast Models
Pan Asia's time-series forecasting models are one of many Pan Asia'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 Pan Asia'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.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Pan Asia to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for Pan Stock analysis
When running Pan Asia's price analysis, check to measure Pan Asia's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pan Asia is operating at the current time. Most of Pan Asia's value examination focuses on studying past and present price action to predict the probability of Pan Asia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pan Asia's price. Additionally, you may evaluate how the addition of Pan Asia to your portfolios can decrease your overall portfolio volatility.
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