Fidelity Emerging Fund Forecast - Simple Exponential Smoothing

FCEM Fund   10.18  0.02  0.20%   
The Simple Exponential Smoothing forecasted value of Fidelity Emerging Markets on the next trading day is expected to be 10.18 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.47. Investors can use prediction functions to forecast Fidelity Emerging's fund prices and determine the direction of Fidelity Emerging Markets's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
Fidelity Emerging 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 Fidelity Emerging Markets are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Fidelity Emerging Markets prices get older.

Fidelity Emerging Simple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Fidelity Emerging Markets on the next trading day is expected to be 10.18 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.47.
Please note that although there have been many attempts to predict Fidelity Fund 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 Fidelity Emerging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fidelity Emerging Fund Forecast Pattern

Fidelity Emerging Forecasted Value

In the context of forecasting Fidelity Emerging's Fund 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. Fidelity Emerging's downside and upside margins for the forecasting period are 8.81 and 11.55, respectively. We have considered Fidelity Emerging'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
10.18
10.18
Expected Value
11.55
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 Fidelity Emerging fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Emerging fund, 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 Criteria114.1594
BiasArithmetic mean of the errors -0.0093
MADMean absolute deviation0.0896
MAPEMean absolute percentage error0.0087
SAESum of the absolute errors5.467
This simple exponential smoothing model begins by setting Fidelity Emerging Markets forecast for the second period equal to the observation of the first period. In other words, recent Fidelity Emerging observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Fidelity Emerging

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

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

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

Fidelity Emerging Markets Technical and Predictive Analytics

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

Fidelity Emerging Market Strength Events

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

Fidelity Emerging Risk Indicators

The analysis of Fidelity Emerging'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 Fidelity Emerging's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fidelity fund 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 Fidelity Emerging

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 Fidelity Emerging 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 Fidelity Emerging will appreciate offsetting losses from the drop in the long position's value.

Moving together with Fidelity Fund

  0.740P0000706A RBC Select BalancedPairCorr
  0.750P00007069 RBC PortefeuillePairCorr
The ability to find closely correlated positions to Fidelity Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Emerging 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 Fidelity Emerging - 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 Fidelity Emerging Markets to buy it.
The correlation of Fidelity Emerging 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 Fidelity Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Emerging Markets 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 Fidelity Emerging 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
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