MAYBANK EMERGING Etf Forecast - Polynomial Regression

MEM Etf  USD 32.18  0.15  0.47%   
The Polynomial Regression forecasted value of MAYBANK EMERGING ETF on the next trading day is expected to be 32.26 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.94. MAYBANK Etf Forecast is based on your current time horizon.
  
MAYBANK EMERGING polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MAYBANK EMERGING ETF as well as the accuracy indicators are determined from the period prices.

MAYBANK EMERGING Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of MAYBANK EMERGING ETF on the next trading day is expected to be 32.26 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.21, and the sum of the absolute errors of 20.94.
Please note that although there have been many attempts to predict MAYBANK Etf 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 MAYBANK EMERGING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MAYBANK EMERGING Etf Forecast Pattern

Backtest MAYBANK EMERGINGMAYBANK EMERGING Price PredictionBuy or Sell Advice 

MAYBANK EMERGING Forecasted Value

In the context of forecasting MAYBANK EMERGING's Etf 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. MAYBANK EMERGING's downside and upside margins for the forecasting period are 31.00 and 33.52, respectively. We have considered MAYBANK EMERGING'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
32.18
32.26
Expected Value
33.52
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 MAYBANK EMERGING etf data series using in forecasting. Note that when a statistical model is used to represent MAYBANK EMERGING etf, 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 Criteria116.5639
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3432
MAPEMean absolute percentage error0.0106
SAESum of the absolute errors20.937
A single variable polynomial regression model attempts to put a curve through the MAYBANK EMERGING 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 MAYBANK EMERGING

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MAYBANK EMERGING ETF. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 MAYBANK EMERGING'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
30.8032.0633.32
Details
Intrinsic
Valuation
LowRealHigh
30.8532.1133.37
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.8131.9632.11
Details

Other Forecasting Options for MAYBANK EMERGING

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

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

MAYBANK EMERGING ETF Technical and Predictive Analytics

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

MAYBANK EMERGING Market Strength Events

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

MAYBANK EMERGING Risk Indicators

The analysis of MAYBANK EMERGING'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 MAYBANK EMERGING's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting maybank etf 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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When determining whether MAYBANK EMERGING ETF is a strong investment it is important to analyze MAYBANK EMERGING's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact MAYBANK EMERGING's future performance. For an informed investment choice regarding MAYBANK Etf, refer to the following important reports:
Check out Historical Fundamental Analysis of MAYBANK EMERGING to cross-verify your projections.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of MAYBANK EMERGING ETF is measured differently than its book value, which is the value of MAYBANK that is recorded on the company's balance sheet. Investors also form their own opinion of MAYBANK EMERGING's value that differs from its market value or its book value, called intrinsic value, which is MAYBANK EMERGING's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MAYBANK EMERGING's market value can be influenced by many factors that don't directly affect MAYBANK EMERGING's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MAYBANK EMERGING's value and its price as these two are different measures arrived at by different means. Investors typically determine if MAYBANK EMERGING is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MAYBANK EMERGING'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.