Habib Bank Stock Forecast - 4 Period Moving Average

HBL Stock   181.00  3.56  2.01%   
The 4 Period Moving Average forecasted value of Habib Bank on the next trading day is expected to be 170.73 with a mean absolute deviation of 4.57 and the sum of the absolute errors of 260.70. Habib Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Habib Bank is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Habib Bank 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Habib Bank on the next trading day is expected to be 170.73 with a mean absolute deviation of 4.57, mean absolute percentage error of 48.13, and the sum of the absolute errors of 260.70.
Please note that although there have been many attempts to predict Habib 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 Habib Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Habib Bank Stock Forecast Pattern

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Habib Bank Forecasted Value

In the context of forecasting Habib 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. Habib Bank's downside and upside margins for the forecasting period are 168.17 and 173.29, respectively. We have considered Habib 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
181.00
168.17
Downside
170.73
Expected Value
173.29
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Habib Bank stock data series using in forecasting. Note that when a statistical model is used to represent Habib 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 Criteria114.6329
BiasArithmetic mean of the errors -2.6253
MADMean absolute deviation4.5737
MAPEMean absolute percentage error0.0323
SAESum of the absolute errors260.7025
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Habib Bank. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Habib Bank and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Habib 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 Habib 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
174.88177.44180.00
Details
Intrinsic
Valuation
LowRealHigh
158.56161.12195.18
Details

Other Forecasting Options for Habib Bank

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

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

Habib 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 Habib 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 Habib Bank's current price.

Habib Bank Market Strength Events

Market strength indicators help investors to evaluate how Habib 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 Habib Bank shares will generate the highest return on investment. By undertsting and applying Habib Bank stock market strength indicators, traders can identify Habib Bank entry and exit signals to maximize returns.

Habib Bank Risk Indicators

The analysis of Habib 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 Habib Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting habib 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 Habib 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 Habib 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 Habib Bank will appreciate offsetting losses from the drop in the long position's value.

Moving together with Habib Stock

  0.71FFL Fauji FoodsPairCorr

Moving against Habib Stock

  0.38MSOT Masood Textile MillsPairCorr
The ability to find closely correlated positions to Habib 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 Habib 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 Habib 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 Habib Bank to buy it.
The correlation of Habib 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 Habib Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Habib 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 Habib 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 Habib Stock Analysis

When running Habib Bank's price analysis, check to measure Habib 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 Habib Bank is operating at the current time. Most of Habib Bank's value examination focuses on studying past and present price action to predict the probability of Habib 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 Habib Bank's price. Additionally, you may evaluate how the addition of Habib Bank to your portfolios can decrease your overall portfolio volatility.