PP Properti Stock Forecast - Naive Prediction

PPRO Stock  IDR 21.00  0.00  0.00%   
The Naive Prediction forecasted value of PP Properti Tbk on the next trading day is expected to be 21.12 with a mean absolute deviation of 0.70 and the sum of the absolute errors of 42.60. PPRO Stock Forecast is based on your current time horizon.
  
A naive forecasting model for PP Properti is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PP Properti Tbk value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

PP Properti Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of PP Properti Tbk on the next trading day is expected to be 21.12 with a mean absolute deviation of 0.70, mean absolute percentage error of 1.36, and the sum of the absolute errors of 42.60.
Please note that although there have been many attempts to predict PPRO 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 PP Properti's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PP Properti Stock Forecast Pattern

Backtest PP PropertiPP Properti Price PredictionBuy or Sell Advice 

PP Properti Forecasted Value

In the context of forecasting PP Properti'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. PP Properti's downside and upside margins for the forecasting period are 16.67 and 25.58, respectively. We have considered PP Properti'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
21.12
Expected Value
25.58
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PP Properti stock data series using in forecasting. Note that when a statistical model is used to represent PP Properti 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 Criteria118.421
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6984
MAPEMean absolute percentage error0.0294
SAESum of the absolute errors42.6015
This model is not at all useful as a medium-long range forecasting tool of PP Properti Tbk. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict PP Properti. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for PP Properti

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PP Properti Tbk. 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
16.5521.0025.45
Details
Intrinsic
Valuation
LowRealHigh
15.7120.1624.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.0021.0021.00
Details

Other Forecasting Options for PP Properti

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

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

PP Properti Tbk 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 PP Properti'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 PP Properti's current price.

PP Properti Market Strength Events

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

PP Properti Risk Indicators

The analysis of PP Properti'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 PP Properti's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ppro 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in PPRO Stock

PP Properti financial ratios help investors to determine whether PPRO 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 PPRO with respect to the benefits of owning PP Properti security.