HNX 30 Index Forecast - 8 Period Moving Average

HNX30 Index   502.01  5.71  1.15%   
The 8 Period Moving Average forecasted value of HNX 30 on the next trading day is expected to be 500.62 with a mean absolute deviation of 7.36 and the sum of the absolute errors of 389.85. Investors can use prediction functions to forecast HNX 30's index prices and determine the direction of HNX 30's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
An 8-period moving average forecast model for HNX 30 is based on an artificially constructed time series of HNX 30 daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

HNX 30 8 Period Moving Average Price Forecast For the 27th of March

Given 90 days horizon, the 8 Period Moving Average forecasted value of HNX 30 on the next trading day is expected to be 500.62 with a mean absolute deviation of 7.36, mean absolute percentage error of 91.99, and the sum of the absolute errors of 389.85.
Please note that although there have been many attempts to predict HNX Index 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 HNX 30's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HNX 30 Index Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of HNX 30 index data series using in forecasting. Note that when a statistical model is used to represent HNX 30 index, 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 Criteria107.9292
BiasArithmetic mean of the errors -1.4532
MADMean absolute deviation7.3557
MAPEMean absolute percentage error0.0154
SAESum of the absolute errors389.8525
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. HNX 30 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for HNX 30

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HNX 30. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.

HNX 30 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 HNX 30 index to make a market-neutral strategy. Peer analysis of HNX 30 could also be used in its relative valuation, which is a method of valuing HNX 30 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

HNX 30 Market Strength Events

Market strength indicators help investors to evaluate how HNX 30 index reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HNX 30 shares will generate the highest return on investment. By undertsting and applying HNX 30 index market strength indicators, traders can identify HNX 30 entry and exit signals to maximize returns.

HNX 30 Risk Indicators

The analysis of HNX 30'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 HNX 30's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hnx index 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.