Philippine Savings Stock Forecast - Simple Regression

Philippine Savings Additional Predictive Modules

Most predictive techniques to examine Philippine price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Philippine using various technical indicators. When you analyze Philippine charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Philippine Savings price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Philippine Savings Simple Regression Price Forecast For the 28th of January

Given 90 days horizon, the Simple Regression forecasted value of Philippine Savings Bank on the next trading day is expected to be 56.71 with a mean absolute deviation of 0.89, mean absolute percentage error of 1.11, and the sum of the absolute errors of 54.27.

Philippine Savings Stock Forecast Pattern

Backtest Philippine Savings

Philippine Savings Price Prediction

Buy or Sell Advice

Philippine Savings Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Philippine Savings stock data series using in forecasting. Note that when a statistical model is used to represent Philippine Savings stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Philippine Savings Bank historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Philippine Savings

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Philippine Savings Bank. 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 Low Estimated High 55.77 57.90 60.03 Details

Intrinsic Valuation Low Real High 45.40 47.53 63.69 Details

Bollinger Band Projection (param) Low Middle High 54.28 56.51 58.74 Details

Philippine Savings After-Hype Price Density Analysis

Philippine Savings Estimiated After-Hype Price Volatility

Philippine Savings Stock Price Outlook Analysis

Notes

Philippine Savings Hype Timeline

Philippine Savings Bank is at this time traded for 57.90on Philippine Stock Exchange of Philippines. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Philippine is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.07%. %. The volatility of related hype on Philippine Savings is about 0.0%, with the expected price after the next announcement by competition of 57.90. The company recorded earning per share (EPS) of 7.05. Philippine Savings Bank had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Philippine Savings to cross-verify your projections.

Philippine Savings Related Hype Analysis

Other Forecasting Options for Philippine Savings

For every potential investor in Philippine, whether a beginner or expert, Philippine Savings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Philippine Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Philippine. Basic forecasting techniques help filter out the noise by identifying Philippine Savings' price trends.

Philippine Savings Related Equities

Risk & Return

Correlation

Philippine Savings Market Strength Events

Philippine Savings Risk Indicators

Story Coverage note for Philippine Savings

Other Macroaxis Stories

Philippine Savings Short Properties

Other Information on Investing in Philippine Stock