AM EMU Etf Forward View - Triple Exponential Smoothing
| CMUD Etf | EUR 75.48 0.30 0.40% |
CMUD Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast AM EMU stock prices and determine the direction of AM EMU ESG's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of AM EMU's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength momentum indicator of AM EMU's etf price is about 62 suggesting that the etf is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling CMUD, making its price go up or down. Momentum 62
Buy Extended
Oversold | Overbought |
Using AM EMU hype-based prediction, you can estimate the value of AM EMU ESG from the perspective of AM EMU response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of AM EMU ESG on the next trading day is expected to be 75.68 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 27.37. AM EMU after-hype prediction price | EUR 75.48 |
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.
CMUD |
AM EMU Additional Predictive Modules
Most predictive techniques to examine CMUD price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CMUD using various technical indicators. When you analyze CMUD 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 |
AM EMU Triple Exponential Smoothing Price Forecast For the 26th of February
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of AM EMU ESG on the next trading day is expected to be 75.68 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.31, and the sum of the absolute errors of 27.37.Please note that although there have been many attempts to predict CMUD Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that AM EMU's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AM EMU Etf Forecast Pattern
AM EMU Forecasted Value
In the context of forecasting AM EMU's 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. AM EMU's downside and upside margins for the forecasting period are 74.94 and 76.42, respectively. We have considered AM EMU'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AM EMU etf data series using in forecasting. Note that when a statistical model is used to represent AM EMU 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1388 |
| MAD | Mean absolute deviation | 0.4562 |
| MAPE | Mean absolute percentage error | 0.0063 |
| SAE | Sum of the absolute errors | 27.37 |
Predictive Modules for AM EMU
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AM EMU ESG. 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.AM EMU Estimiated After-Hype Price Volatility
As far as predicting the price of AM EMU 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 AM EMU 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 AM EMU, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
AM EMU Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as AM EMU is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AM EMU 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 AM EMU, 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 |
0.09 | 0.74 | 0.00 | 0.01 | 0 Events / Month | 1 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
75.48 | 75.48 | 0.00 |
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AM EMU Hype Timeline
AM EMU ESG is currently traded for 75.48on Euronext Paris of France. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. CMUD is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.09%. %. The volatility of related hype on AM EMU is about 627.12%, with the expected price after the next announcement by competition of 75.49. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out fundamental analysis of AM EMU to check your projections.AM EMU Related Hype Analysis
Having access to credible news sources related to AM EMU's direct competition is more important than ever and may enhance your ability to predict AM EMU's future price movements. Getting to know how AM EMU's 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 AM EMU may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PCEU | Amundi ETF PEA | (0.01) | 2 per month | 0.00 | 0.14 | 0.94 | (0.71) | 2.21 | |
| E40 | BNP Paribas Easy | 0.00 | 0 per month | 0.50 | (0.04) | 1.16 | (0.90) | 3.08 | |
| CU9 | Amundi ETF MSCI | 0.59 | 2 per month | 0.31 | 0.09 | 1.00 | (0.93) | 2.60 | |
| VAL | Lyxor Index Fund | 0.32 | 1 per month | 0.27 | 0.12 | 1.14 | (0.96) | 2.99 | |
| EEA | BNP Paribas Easy | 0.08 | 1 per month | 0.47 | 0.04 | 1.33 | (0.99) | 5.10 | |
| QCEU | Amundi Index Solutions | 0.00 | 0 per month | 0.00 | 0.11 | 1.02 | (0.80) | 2.86 | |
| PABZ | Amundi MSCI EMU | 0.00 | 0 per month | 0.31 | 0.05 | 1.30 | (0.71) | 2.91 | |
| ENAM | BNP Paribas Easy | 0.00 | 0 per month | 0.74 | (0.14) | 1.29 | (1.32) | 3.25 | |
| EESM | BNP Paribas Easy | 0.00 | 0 per month | 0.39 | 0.07 | 1.02 | (0.93) | 3.10 | |
| IND | Lyxor Index Fund | 0.20 | 6 per month | 0.44 | 0.11 | 1.59 | (1.07) | 4.82 |
Other Forecasting Options for AM EMU
For every potential investor in CMUD, whether a beginner or expert, AM EMU's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CMUD Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CMUD. Basic forecasting techniques help filter out the noise by identifying AM EMU's price trends.AM EMU 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 AM EMU etf to make a market-neutral strategy. Peer analysis of AM EMU could also be used in its relative valuation, which is a method of valuing AM EMU by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AM EMU Market Strength Events
Market strength indicators help investors to evaluate how AM EMU etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AM EMU shares will generate the highest return on investment. By undertsting and applying AM EMU etf market strength indicators, traders can identify AM EMU ESG entry and exit signals to maximize returns.
AM EMU Risk Indicators
The analysis of AM EMU'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 AM EMU's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cmud 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 | 0.5825 | |||
| Semi Deviation | 0.5516 | |||
| Standard Deviation | 0.7469 | |||
| Variance | 0.5579 | |||
| Downside Variance | 0.517 | |||
| Semi Variance | 0.3043 | |||
| Expected Short fall | (0.69) |
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 AM EMU
The number of cover stories for AM EMU depends on current market conditions and AM EMU's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AM EMU 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 AM EMU's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in CMUD Etf
AM EMU financial ratios help investors to determine whether CMUD Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in CMUD with respect to the benefits of owning AM EMU security.