Tembaga Mulia Stock Forecast - Simple Regression

TBMS Stock  IDR 930.00  5.00  0.53%   
The Simple Regression forecasted value of Tembaga Mulia Semanan on the next trading day is expected to be 949.75 with a mean absolute deviation of 22.92 and the sum of the absolute errors of 1,398. Tembaga Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Tembaga Mulia 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.

Tembaga Mulia Simple Regression Price Forecast For the 28th of November

Given 90 days horizon, the Simple Regression forecasted value of Tembaga Mulia Semanan on the next trading day is expected to be 949.75 with a mean absolute deviation of 22.92, mean absolute percentage error of 741.91, and the sum of the absolute errors of 1,398.
Please note that although there have been many attempts to predict Tembaga 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 Tembaga Mulia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tembaga Mulia Stock Forecast Pattern

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Tembaga Mulia Forecasted Value

In the context of forecasting Tembaga Mulia'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. Tembaga Mulia's downside and upside margins for the forecasting period are 947.56 and 951.93, respectively. We have considered Tembaga Mulia'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
930.00
947.56
Downside
949.75
Expected Value
951.93
Upside

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 Tembaga Mulia stock data series using in forecasting. Note that when a statistical model is used to represent Tembaga Mulia 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 Criteria124.7197
BiasArithmetic mean of the errors None
MADMean absolute deviation22.9238
MAPEMean absolute percentage error0.025
SAESum of the absolute errors1398.3511
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 Tembaga Mulia Semanan 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 Tembaga Mulia

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tembaga Mulia Semanan. 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
927.81930.00932.19
Details
Intrinsic
Valuation
LowRealHigh
779.01781.201,023
Details
Bollinger
Band Projection (param)
LowMiddleHigh
887.80945.211,003
Details

Other Forecasting Options for Tembaga Mulia

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

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

Tembaga Mulia Semanan 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 Tembaga Mulia'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 Tembaga Mulia's current price.

Tembaga Mulia Market Strength Events

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

Tembaga Mulia Risk Indicators

The analysis of Tembaga Mulia'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 Tembaga Mulia's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tembaga 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 Tembaga Stock

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