Pan Asia (Sri Lanka) Odds of Future Stock Price Finishing Over 27.79

PABCN0000  LKR 26.50  0.30  1.12%   
Pan Asia's future price is the expected price of Pan Asia 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 Pan Asia Banking performance during a given time horizon utilizing its historical volatility. Check out Pan Asia Backtesting, Pan Asia Valuation, Pan Asia Correlation, Pan Asia Hype Analysis, Pan Asia Volatility, Pan Asia History as well as Pan Asia Performance.
  
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Pan Asia Target Price Odds to finish over 27.79

The tendency of Pan 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  27.79  or more in 90 days
 26.50 90 days 27.79 
roughly 2.51
Based on a normal probability distribution, the odds of Pan Asia to move over  27.79  or more in 90 days from now is roughly 2.51 (This Pan Asia Banking probability density function shows the probability of Pan Stock to fall within a particular range of prices over 90 days) . Probability of Pan Asia Banking price to stay between its current price of  26.50  and  27.79  at the end of the 90-day period is under 4.
Assuming the 90 days trading horizon Pan Asia Banking has a beta of -0.13 indicating as returns on the benchmark increase, returns on holding Pan Asia are expected to decrease at a much lower rate. During a bear market, however, Pan Asia Banking is likely to outperform the market. Additionally Pan Asia Banking has an alpha of 0.4521, implying that it can generate a 0.45 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Pan Asia Price Density   
       Price  

Predictive Modules for Pan Asia

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pan Asia Banking. 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
24.4626.5028.54
Details
Intrinsic
Valuation
LowRealHigh
20.1522.1829.15
Details
Naive
Forecast
LowNextHigh
23.7125.7527.79
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
26.3226.6026.88
Details

Pan Asia Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Pan Asia is not an exception. The market had few large corrections towards the Pan Asia'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 Pan Asia Banking, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pan Asia within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.45
β
Beta against Dow Jones-0.13
σ
Overall volatility
2.92
Ir
Information ratio 0.16

Pan Asia Technical Analysis

Pan Asia's future price can be derived by breaking down and analyzing its technical indicators over time. Pan Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pan Asia Banking. In general, you should focus on analyzing Pan Stock price patterns and their correlations with different microeconomic environments and drivers.

Pan Asia Predictive Forecast Models

Pan Asia's time-series forecasting models is one of many Pan Asia'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 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 stock market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pan Asia in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pan Asia's short interest history, or implied volatility extrapolated from Pan Asia options trading.

Other Information on Investing in Pan Stock

Pan Asia financial ratios help investors to determine whether Pan 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 Pan with respect to the benefits of owning Pan Asia security.