Emerging Markets Etf Forecast - Simple Exponential Smoothing
| REMG Etf | USD 31.90 0.33 1.05% |
The Simple Exponential Smoothing forecasted value of Emerging Markets Active on the next trading day is expected to be 31.90 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.37. Emerging Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Emerging Markets' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 24th of January 2026 the relative strength momentum indicator of Emerging Markets' share price is below 20 indicating that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Emerging Markets hype-based prediction, you can estimate the value of Emerging Markets Active from the perspective of Emerging Markets response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Emerging Markets Active on the next trading day is expected to be 31.90 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.37. Emerging Markets after-hype prediction price | USD 31.93 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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Emerging Markets Additional Predictive Modules
Most predictive techniques to examine Emerging price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Emerging using various technical indicators. When you analyze Emerging charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Emerging Markets Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Emerging Markets Active on the next trading day is expected to be 31.90 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.37.Please note that although there have been many attempts to predict Emerging Etf 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 Emerging Markets' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Emerging Markets Etf Forecast Pattern
| Backtest Emerging Markets | Emerging Markets Price Prediction | Buy or Sell Advice |
Emerging Markets Forecasted Value
In the context of forecasting Emerging Markets' Etf 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. Emerging Markets' downside and upside margins for the forecasting period are 31.02 and 32.78, respectively. We have considered Emerging Markets' 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.
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 Emerging Markets etf data series using in forecasting. Note that when a statistical model is used to represent Emerging Markets etf, 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.| AIC | Akaike Information Criteria | 113.6101 |
| Bias | Arithmetic mean of the errors | -0.0432 |
| MAD | Mean absolute deviation | 0.2062 |
| MAPE | Mean absolute percentage error | 0.007 |
| SAE | Sum of the absolute errors | 12.37 |
Predictive Modules for Emerging Markets
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Emerging Markets Active. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Emerging Markets After-Hype Price Prediction Density Analysis
As far as predicting the price of Emerging Markets at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Emerging Markets or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of Emerging Markets, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Emerging Markets Estimiated After-Hype Price Volatility
In the context of predicting Emerging Markets' etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Emerging Markets' historical news coverage. Emerging Markets' after-hype downside and upside margins for the prediction period are 31.05 and 32.81, respectively. We have considered Emerging Markets' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Emerging Markets is very steady at this time. Analysis and calculation of next after-hype price of Emerging Markets Active is based on 3 months time horizon.
Emerging Markets Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as Emerging Markets is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Emerging Markets backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Emerging Markets, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.14 | 0.88 | 0.03 | 0.36 | 1 Events / Month | 2 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
31.90 | 31.93 | 0.09 |
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Emerging Markets Hype Timeline
Emerging Markets Active is at this time traded for 31.90. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.36. Emerging is expected to increase in value after the next headline, with the price projected to jump to 31.93 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is projected to be 0.09%, whereas the daily expected return is at this time at 0.14%. The volatility of related hype on Emerging Markets is about 34.66%, with the expected price after the next announcement by competition of 31.54. Given the investment horizon of 90 days the next expected press release will be very soon. Check out Historical Fundamental Analysis of Emerging Markets to cross-verify your projections.Emerging Markets Related Hype Analysis
Having access to credible news sources related to Emerging Markets' direct competition is more important than ever and may enhance your ability to predict Emerging Markets' future price movements. Getting to know how Emerging Markets' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Emerging Markets may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DEEF | Xtrackers FTSE Developed | 0.25 | 2 per month | 0.42 | 0.09 | 1.13 | (0.84) | 2.82 | |
| PPEM | PortfolioPlus Emerging Markets | 0.07 | 1 per month | 0.64 | 0.06 | 1.33 | (1.26) | 3.58 | |
| GMOV | The 2023 ETF | (0.03) | 2 per month | 0.41 | 0.07 | 1.41 | (0.95) | 3.00 | |
| JPY | Lazard Japanese Equity | 1.19 | 10 per month | 0.92 | (0.02) | 1.75 | (1.88) | 4.88 | |
| AVEE | American Century ETF | (27.84) | 4 per month | 0.60 | (0) | 1.12 | (0.98) | 2.90 | |
| GEME | Pacific North of | 0.00 | 0 per month | 0.54 | 0.17 | 1.80 | (1.31) | 4.23 | |
| FTHF | First Trust Exchange Traded | 0.00 | 0 per month | 0.71 | 0.22 | 1.86 | (1.58) | 4.02 | |
| PRXV | Praxis Funds | (0.19) | 1 per month | 0.44 | 0.05 | 1.29 | (0.99) | 2.77 | |
| KBWR | Invesco KBW Regional | 1.19 | 6 per month | 1.01 | 0.07 | 2.95 | (1.35) | 5.61 | |
| XFLX | FundX Investment Trust | (0.03) | 2 per month | 0.15 | (0.30) | 0.40 | (0.36) | 0.99 |
Other Forecasting Options for Emerging Markets
For every potential investor in Emerging, whether a beginner or expert, Emerging Markets' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Emerging Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Emerging. Basic forecasting techniques help filter out the noise by identifying Emerging Markets' price trends.Emerging Markets 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 Emerging Markets etf to make a market-neutral strategy. Peer analysis of Emerging Markets could also be used in its relative valuation, which is a method of valuing Emerging Markets by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Emerging Markets Market Strength Events
Market strength indicators help investors to evaluate how Emerging Markets etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Emerging Markets shares will generate the highest return on investment. By undertsting and applying Emerging Markets etf market strength indicators, traders can identify Emerging Markets Active entry and exit signals to maximize returns.
Emerging Markets Risk Indicators
The analysis of Emerging Markets' 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 Emerging Markets' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting emerging etf 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.
| Mean Deviation | 0.7173 | |||
| Semi Deviation | 0.5981 | |||
| Standard Deviation | 0.8944 | |||
| Variance | 0.7999 | |||
| Downside Variance | 0.6493 | |||
| Semi Variance | 0.3578 | |||
| Expected Short fall | (0.82) |
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.
Story Coverage note for Emerging Markets
The number of cover stories for Emerging Markets depends on current market conditions and Emerging Markets' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Emerging Markets is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Emerging Markets' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Emerging Markets to cross-verify your projections. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
The market value of Emerging Markets Active is measured differently than its book value, which is the value of Emerging that is recorded on the company's balance sheet. Investors also form their own opinion of Emerging Markets' value that differs from its market value or its book value, called intrinsic value, which is Emerging Markets' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Emerging Markets' market value can be influenced by many factors that don't directly affect Emerging Markets' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Emerging Markets' value and its price as these two are different measures arrived at by different means. Investors typically determine if Emerging Markets is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Emerging Markets' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.