AMS Small Index Forecast - Naive Prediction

ASCX Index   1,227  12.12  1.00%   
The Naive Prediction forecasted value of AMS Small Cap on the next trading day is expected to be 1,236 with a mean absolute deviation of 8.31 and the sum of the absolute errors of 515.22. Investors can use prediction functions to forecast AMS Small's index prices and determine the direction of AMS Small Cap's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
A naive forecasting model for AMS Small is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of AMS Small Cap value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

AMS Small Naive Prediction Price Forecast For the 1st of December

Given 90 days horizon, the Naive Prediction forecasted value of AMS Small Cap on the next trading day is expected to be 1,236 with a mean absolute deviation of 8.31, mean absolute percentage error of 112.64, and the sum of the absolute errors of 515.22.
Please note that although there have been many attempts to predict AMS 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 AMS Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AMS Small Index Forecast Pattern

AMS Small Forecasted Value

In the context of forecasting AMS 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. AMS Small's downside and upside margins for the forecasting period are 1,235 and 1,237, respectively. We have considered AMS 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
1,227
1,236
Expected Value
1,237
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of AMS Small index data series using in forecasting. Note that when a statistical model is used to represent AMS 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 Criteria124.6726
BiasArithmetic mean of the errors None
MADMean absolute deviation8.31
MAPEMean absolute percentage error0.0069
SAESum of the absolute errors515.2206
This model is not at all useful as a medium-long range forecasting tool of AMS Small Cap. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict AMS Small. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for AMS 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 AMS 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.

Other Forecasting Options for AMS Small

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

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

AMS 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 AMS 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 AMS Small's current price.

AMS Small Market Strength Events

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

AMS Small Risk Indicators

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