EN EXPAND Index Forecast - Double Exponential Smoothing

OAAXP
  

 29.20  0.90  3.18%   

Investors can use prediction functions to forecast EN EXPAND historical stock prices and determine the direction of EN EXPAND ALL S's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of EN EXPAND historical fundamentals such as revenue growth or operating cash flow patterns. Check out Your Equity Center.
Most investors in EN EXPAND cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the EN EXPAND's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets EN EXPAND's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for EN EXPAND works best with periods where there are trends or seasonality.

EN EXPAND Double Exponential Smoothing Price Forecast For the 2nd of October

Given 90 days horizon, the Double Exponential Smoothing forecasted value of EN EXPAND ALL S on the next trading day is expected to be 29.01 with a mean absolute deviation of 0.78, mean absolute percentage error of 0.92, and the sum of the absolute errors of 46.06.
Please note that although there have been many attempts to predict OAAXP 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 EN EXPAND's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EN EXPAND Index Forecast Pattern

EN EXPAND Forecasted Value

In the context of forecasting EN EXPAND'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. EN EXPAND's downside and upside margins for the forecasting period are 26.41 and 31.62, respectively. We have considered EN EXPAND'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 29.20
29.01
Expected Value
31.62
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of EN EXPAND index data series using in forecasting. Note that when a statistical model is used to represent EN EXPAND 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 CriteriaHuge
BiasArithmetic mean of the errors -0.1283
MADMean absolute deviation0.7806
MAPEMean absolute percentage error0.0236
SAESum of the absolute errors46.0556
When EN EXPAND ALL S prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any EN EXPAND ALL S trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent EN EXPAND observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for EN EXPAND

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EN EXPAND ALL. Regardless of method or technology, however, to accurately forecast the stock or bond 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of EN EXPAND'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. Please use the tools below to analyze the current value of EN EXPAND in the context of predictive analytics.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as EN EXPAND. Your research has to be compared to or analyzed against EN EXPAND's peers to derive any actionable benefits. When done correctly, EN EXPAND's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in EN EXPAND ALL.

Other Forecasting Options for EN EXPAND

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

EN EXPAND 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 EN EXPAND index to make a market-neutral strategy. Peer analysis of EN EXPAND could also be used in its relative valuation, which is a method of valuing EN EXPAND by comparing valuation metrics with similar companies.
Amn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanNatural Hlth TrdUSA Value FactorBetapro Canadian GoldAramark Holdings CorpLong-Term Govt BondMaiden Holdings NorthSeagate Technology HldgsVistra Energy CorpExxon Mobil CorpPowered Brands Cl
 Risk & Return  Correlation

EN EXPAND ALL 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 EN EXPAND'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 EN EXPAND's current price.

EN EXPAND Risk Indicators

The analysis of EN EXPAND's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in EN EXPAND's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting EN EXPAND stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in EN EXPAND without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Check out Your Equity Center. You can also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Other Tools for OAAXP Index

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