VN Small Index Forecast - Simple Exponential Smoothing

VNISC Index   1,327  14.59  1.11%   
The Simple Exponential Smoothing forecasted value of VN Small Cap on the next trading day is expected to be 1,327 with a mean absolute deviation of 13.15 and the sum of the absolute errors of 788.87. Investors can use prediction functions to forecast VN Small's index prices and determine the direction of VN Small Cap's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
VN Small simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for VN Small Cap are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as VN Small Cap prices get older.

VN Small Simple Exponential Smoothing Price Forecast For the 25th of April

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of VN Small Cap on the next trading day is expected to be 1,327 with a mean absolute deviation of 13.15, mean absolute percentage error of 551.10, and the sum of the absolute errors of 788.87.
Please note that although there have been many attempts to predict VNISC 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 VN Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

VN Small Index Forecast Pattern

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JavaScript chart by amCharts 3.21.15VN Small Cap VN Small Cap forecast

VN Small Forecasted Value

In the context of forecasting VN Small's Index 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. VN Small's downside and upside margins for the forecasting period are 1,325 and 1,329, respectively. We have considered VN Small'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

1,327
1,327
Expected Value
1,329
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of VN Small index data series using in forecasting. Note that when a statistical model is used to represent VN Small 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 Criteria122.5845
BiasArithmetic mean of the errors 1.3805
MADMean absolute deviation13.1478
MAPEMean absolute percentage error0.0098
SAESum of the absolute errors788.87
This simple exponential smoothing model begins by setting VN Small Cap forecast for the second period equal to the observation of the first period. In other words, recent VN Small observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for VN Small

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VN Small Cap. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VN Small'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.

Other Forecasting Options for VN Small

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

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

VN Small Cap Technical and Predictive Analytics

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

VN Small Market Strength Events

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

VN Small Risk Indicators

The analysis of VN Small'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 VN Small's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vnisc 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.