Aqua America Stock Forecast - Polynomial Regression

A2A Stock   34.99  0.21  0.60%   
The Polynomial Regression forecasted value of Aqua America on the next trading day is expected to be 33.91 with a mean absolute deviation of 0.62 and the sum of the absolute errors of 37.64. Aqua Stock Forecast is based on your current time horizon.
  
Aqua America polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Aqua America as well as the accuracy indicators are determined from the period prices.

Aqua America Polynomial Regression Price Forecast For the 7th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Aqua America on the next trading day is expected to be 33.91 with a mean absolute deviation of 0.62, mean absolute percentage error of 0.55, and the sum of the absolute errors of 37.64.
Please note that although there have been many attempts to predict Aqua Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Aqua America's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Aqua America Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Aqua America stock data series using in forecasting. Note that when a statistical model is used to represent Aqua America 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.
AICAkaike Information Criteria117.5208
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6171
MAPEMean absolute percentage error0.0171
SAESum of the absolute errors37.6444
A single variable polynomial regression model attempts to put a curve through the Aqua America historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Aqua America

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aqua America. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aqua America's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
34.9934.9934.99
Details
Intrinsic
Valuation
LowRealHigh
31.4935.6435.64
Details
Bollinger
Band Projection (param)
LowMiddleHigh
33.7635.7237.67
Details

Aqua America Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Aqua America stock to make a market-neutral strategy. Peer analysis of Aqua America could also be used in its relative valuation, which is a method of valuing Aqua America by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Aqua America Market Strength Events

Market strength indicators help investors to evaluate how Aqua America stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Aqua America shares will generate the highest return on investment. By undertsting and applying Aqua America stock market strength indicators, traders can identify Aqua America entry and exit signals to maximize returns.

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for Aqua Stock Analysis

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