Allied Bank Stock Forecast - Simple Moving Average

ABL Stock   151.49  0.55  0.36%   
The Simple Moving Average forecasted value of Allied Bank on the next trading day is expected to be 151.22 with a mean absolute deviation of 1.89 and the sum of the absolute errors of 111.79. Allied Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for Allied Bank 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.

Allied Bank Simple Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the Simple Moving Average forecasted value of Allied Bank on the next trading day is expected to be 151.22 with a mean absolute deviation of 1.89, mean absolute percentage error of 9.20, and the sum of the absolute errors of 111.79.
Please note that although there have been many attempts to predict Allied 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 Allied Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Allied Bank Stock Forecast Pattern

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Allied Bank Forecasted Value

In the context of forecasting Allied Bank'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. Allied Bank's downside and upside margins for the forecasting period are 149.45 and 152.98, respectively. We have considered Allied Bank'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
151.49
149.45
Downside
151.22
Expected Value
152.98
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 Allied Bank stock data series using in forecasting. Note that when a statistical model is used to represent Allied Bank 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 Criteria116.6535
BiasArithmetic mean of the errors -1.2068
MADMean absolute deviation1.8947
MAPEMean absolute percentage error0.0155
SAESum of the absolute errors111.79
The simple moving average model is conceptually a linear regression of the current value of Allied Bank price series against current and previous (unobserved) value of Allied Bank. 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 Allied Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Allied Bank. 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
149.17150.94152.71
Details
Intrinsic
Valuation
LowRealHigh
119.23121.00166.03
Details
Bollinger
Band Projection (param)
LowMiddleHigh
119.68134.01148.35
Details

Other Forecasting Options for Allied Bank

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

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

Allied Bank 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 Allied Bank'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 Allied Bank's current price.

Allied Bank Market Strength Events

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

Allied Bank Risk Indicators

The analysis of Allied Bank'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 Allied Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting allied 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.

Pair Trading with Allied Bank

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Allied Bank position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Allied Bank will appreciate offsetting losses from the drop in the long position's value.

Moving together with Allied Stock

  0.93HBL Habib BankPairCorr
  0.62NBP National BankPairCorr
  0.75UBL United BankPairCorr
  0.8MCB MCB BankPairCorr
The ability to find closely correlated positions to Allied Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Allied Bank when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Allied Bank - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Allied Bank to buy it.
The correlation of Allied Bank is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Allied Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Allied Bank moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Allied Bank can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Allied Stock Analysis

When running Allied Bank's price analysis, check to measure Allied Bank'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 Allied Bank is operating at the current time. Most of Allied Bank's value examination focuses on studying past and present price action to predict the probability of Allied Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allied Bank's price. Additionally, you may evaluate how the addition of Allied Bank to your portfolios can decrease your overall portfolio volatility.