PLDT Pink Sheet Forecast - Simple Moving Average

PHTCF Stock  USD 22.00  0.00  0.00%   
The Simple Moving Average forecasted value of PLDT Inc on the next trading day is expected to be 22.00 with a mean absolute deviation of  0.02  and the sum of the absolute errors of 1.23. PLDT Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast PLDT stock prices and determine the direction of PLDT Inc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of PLDT's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of PLDT to cross-verify your projections.
  
Most investors in PLDT cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the PLDT's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets PLDT's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for PLDT is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

PLDT Simple Moving Average Price Forecast For the 4th of June

Given 90 days horizon, the Simple Moving Average forecasted value of PLDT Inc on the next trading day is expected to be 22.00 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.01, and the sum of the absolute errors of 1.23.
Please note that although there have been many attempts to predict PLDT Pink Sheet 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 PLDT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PLDT Pink Sheet Forecast Pattern

Backtest PLDTPLDT Price PredictionBuy or Sell Advice 

PLDT Forecasted Value

In the context of forecasting PLDT's Pink Sheet 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. PLDT's downside and upside margins for the forecasting period are 21.51 and 22.49, respectively. We have considered PLDT'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
22.00
22.00
Expected Value
22.49
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of PLDT pink sheet data series using in forecasting. Note that when a statistical model is used to represent PLDT pink sheet, 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 Criteria110.1835
BiasArithmetic mean of the errors -0.0208
MADMean absolute deviation0.0208
MAPEMean absolute percentage error9.0E-4
SAESum of the absolute errors1.23
The simple moving average model is conceptually a linear regression of the current value of PLDT Inc price series against current and previous (unobserved) value of PLDT. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for PLDT

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PLDT Inc. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 PLDT'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
21.5222.0022.48
Details
Intrinsic
Valuation
LowRealHigh
21.3221.8022.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.9921.9921.99
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as PLDT. Your research has to be compared to or analyzed against PLDT's peers to derive any actionable benefits. When done correctly, PLDT's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in PLDT Inc.

Other Forecasting Options for PLDT

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

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

PLDT Inc Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of PLDT'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 PLDT's current price.

PLDT Market Strength Events

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

PLDT Risk Indicators

The analysis of PLDT'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 PLDT's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pldt pink sheet 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.

Currently Active Assets on Macroaxis

Check out Historical Fundamental Analysis of PLDT to cross-verify your projections.
Note that the PLDT Inc information on this page should be used as a complementary analysis to other PLDT's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Complementary Tools for PLDT Pink Sheet analysis

When running PLDT's price analysis, check to measure PLDT'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 PLDT is operating at the current time. Most of PLDT's value examination focuses on studying past and present price action to predict the probability of PLDT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PLDT's price. Additionally, you may evaluate how the addition of PLDT to your portfolios can decrease your overall portfolio volatility.
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
CEOs Directory
Screen CEOs from public companies around the world
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Please note, there is a significant difference between PLDT's value and its price as these two are different measures arrived at by different means. Investors typically determine if PLDT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PLDT's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.