Sriwahana Stock Forecast - Polynomial Regression

SWAT Stock  IDR 21.00  1.00  5.00%   
The Polynomial Regression forecasted value of Sriwahana on the next trading day is expected to be 19.02 with a mean absolute deviation of 2.32 and the sum of the absolute errors of 143.59. Sriwahana Stock Forecast is based on your current time horizon.
  
Sriwahana polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sriwahana as well as the accuracy indicators are determined from the period prices.

Sriwahana Polynomial Regression Price Forecast For the 10th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Sriwahana on the next trading day is expected to be 19.02 with a mean absolute deviation of 2.32, mean absolute percentage error of 9.21, and the sum of the absolute errors of 143.59.
Please note that although there have been many attempts to predict Sriwahana 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 Sriwahana's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sriwahana Stock Forecast Pattern

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Sriwahana Forecasted Value

In the context of forecasting Sriwahana's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Sriwahana's downside and upside margins for the forecasting period are 13.39 and 24.65, respectively. We have considered Sriwahana's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
21.00
19.02
Expected Value
24.65
Upside

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 Sriwahana stock data series using in forecasting. Note that when a statistical model is used to represent Sriwahana 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 Criteria122.1687
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3159
MAPEMean absolute percentage error0.0775
SAESum of the absolute errors143.5881
A single variable polynomial regression model attempts to put a curve through the Sriwahana 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 Sriwahana

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sriwahana. 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
15.3521.0026.65
Details
Intrinsic
Valuation
LowRealHigh
14.5120.1625.81
Details

Other Forecasting Options for Sriwahana

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

Sriwahana 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 Sriwahana stock to make a market-neutral strategy. Peer analysis of Sriwahana could also be used in its relative valuation, which is a method of valuing Sriwahana by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sriwahana Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sriwahana's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Sriwahana's current price.

Sriwahana Market Strength Events

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

Sriwahana Risk Indicators

The analysis of Sriwahana's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Sriwahana's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sriwahana stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Other Information on Investing in Sriwahana Stock

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