Emerging Markets Mutual Fund Forecast - 8 Period Moving Average
| DFEVX Fund | USD 32.19 0.36 1.13% |
The 8 Period Moving Average forecasted value of Emerging Markets Value on the next trading day is expected to be 31.72 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 18.10. Emerging Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Emerging Markets stock prices and determine the direction of Emerging Markets Value's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Emerging Markets' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Emerging Markets to cross-verify your projections. Emerging |
Most investors in Emerging Markets cannot accurately predict what will happen the next trading day because, historically, fund 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 Emerging Markets' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Emerging Markets' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Emerging Markets is based on an artificially constructed time series of Emerging Markets daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Emerging Markets 8 Period Moving Average Price Forecast For the 18th of May 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of Emerging Markets Value on the next trading day is expected to be 31.72 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.17, and the sum of the absolute errors of 18.10.Please note that although there have been many attempts to predict Emerging Mutual 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 Emerging Markets' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Emerging Markets Mutual Fund Forecast Pattern
| Backtest Emerging Markets | Emerging Markets Price Prediction | Buy or Sell Advice |
Emerging Markets Forecasted Value
In the context of forecasting Emerging Markets' Mutual 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. Emerging Markets' downside and upside margins for the forecasting period are 31.08 and 32.36, 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Emerging Markets mutual fund data series using in forecasting. Note that when a statistical model is used to represent Emerging Markets mutual 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.| AIC | Akaike Information Criteria | 103.4747 |
| Bias | Arithmetic mean of the errors | -0.1798 |
| MAD | Mean absolute deviation | 0.3352 |
| MAPE | Mean absolute percentage error | 0.0109 |
| SAE | Sum of the absolute errors | 18.1012 |
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 Value. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Markets' 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 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 Mutual Fund 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 mutual fund 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 Value Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Emerging Markets' 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 Emerging Markets' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Emerging Markets Market Strength Events
Market strength indicators help investors to evaluate how Emerging Markets mutual fund 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 mutual fund market strength indicators, traders can identify Emerging Markets Value entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 32.19 | |||
| Day Typical Price | 32.19 | |||
| Price Action Indicator | 0.18 | |||
| Period Momentum Indicator | 0.36 |
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 mutual 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.
| Mean Deviation | 0.4768 | |||
| Semi Deviation | 0.436 | |||
| Standard Deviation | 0.6303 | |||
| Variance | 0.3972 | |||
| Downside Variance | 0.4896 | |||
| Semi Variance | 0.1901 | |||
| Expected Short fall | (0.52) |
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.| C | Citigroup | |
| CRM | Salesforce | |
| MSFT | Microsoft |
Check out Historical Fundamental Analysis of Emerging Markets to cross-verify your projections. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.