Converge Information (Philippines) Probability of Future Stock Price Finishing Over 15.80

CNVRG Stock   15.80  0.06  0.38%   
Converge Information's future price is the expected price of Converge Information 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 Converge Information Communications performance during a given time horizon utilizing its historical volatility. Check out Converge Information Backtesting, Converge Information Valuation, Converge Information Correlation, Converge Information Hype Analysis, Converge Information Volatility, Converge Information History as well as Converge Information Performance.
  
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Converge Information Target Price Odds to finish over 15.80

The tendency of Converge 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 above the current price in 90 days
 15.80 90 days 15.80 
about 64.32
Based on a normal probability distribution, the odds of Converge Information to move above the current price in 90 days from now is about 64.32 (This Converge Information Communications probability density function shows the probability of Converge Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Converge Information Communications has a beta of -0.0036 suggesting as returns on the benchmark increase, returns on holding Converge Information are expected to decrease at a much lower rate. During a bear market, however, Converge Information Communications is likely to outperform the market. Additionally Converge Information Communications has an alpha of 0.1682, implying that it can generate a 0.17 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Converge Information Price Density   
       Price  

Predictive Modules for Converge Information

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Converge Information. 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
13.3515.8018.25
Details
Intrinsic
Valuation
LowRealHigh
10.8713.3217.38
Details
Naive
Forecast
LowNextHigh
14.0116.4718.92
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
15.2316.3617.49
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Converge Information. Your research has to be compared to or analyzed against Converge Information's peers to derive any actionable benefits. When done correctly, Converge Information's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Converge Information.

Converge Information Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Converge Information is not an exception. The market had few large corrections towards the Converge Information'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 Converge Information Communications, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Converge Information within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.17
β
Beta against Dow Jones-0.0036
σ
Overall volatility
0.79
Ir
Information ratio 0.02

Converge Information 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 Converge Stock often depends not only on the future outlook of the current and potential Converge Information'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. Converge Information's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding7.5 B
Cash And Short Term Investments8.1 B

Converge Information Technical Analysis

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

Converge Information Predictive Forecast Models

Converge Information's time-series forecasting models is one of many Converge Information'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 Converge Information'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 Converge Information 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, Converge Information's short interest history, or implied volatility extrapolated from Converge Information options trading.

Additional Tools for Converge Stock Analysis

When running Converge Information's price analysis, check to measure Converge Information'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 Converge Information is operating at the current time. Most of Converge Information's value examination focuses on studying past and present price action to predict the probability of Converge Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Converge Information's price. Additionally, you may evaluate how the addition of Converge Information to your portfolios can decrease your overall portfolio volatility.