JPM Europe Fund Forecast - 20 Period Moving Average
| JPJJ Fund | EUR 90.10 0.42 0.47% |
The 20 Period Moving Average forecasted value of JPM Europe Small on the next trading day is expected to be 90.00 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 38.08. JPM Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast JPM Europe stock prices and determine the direction of JPM Europe Small's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of JPM Europe's historical fundamentals, such as revenue growth or operating cash flow patterns.
JPM |
JPM Europe 20 Period Moving Average Price Forecast For the 7th of January
Given 90 days horizon, the 20 Period Moving Average forecasted value of JPM Europe Small on the next trading day is expected to be 90.00 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.20, and the sum of the absolute errors of 38.08.Please note that although there have been many attempts to predict JPM 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 JPM Europe's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPM Europe Fund Forecast Pattern
JPM Europe Forecasted Value
In the context of forecasting JPM Europe'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. JPM Europe's downside and upside margins for the forecasting period are 89.30 and 90.70, respectively. We have considered JPM Europe'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of JPM Europe fund data series using in forecasting. Note that when a statistical model is used to represent JPM Europe 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 | 81.5369 |
| Bias | Arithmetic mean of the errors | 0.123 |
| MAD | Mean absolute deviation | 0.9288 |
| MAPE | Mean absolute percentage error | 0.0104 |
| SAE | Sum of the absolute errors | 38.081 |
Predictive Modules for JPM Europe
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPM Europe Small. 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 JPM Europe
For every potential investor in JPM, whether a beginner or expert, JPM Europe's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. JPM Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JPM. Basic forecasting techniques help filter out the noise by identifying JPM Europe's price trends.JPM Europe 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 JPM Europe fund to make a market-neutral strategy. Peer analysis of JPM Europe could also be used in its relative valuation, which is a method of valuing JPM Europe by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPM Europe Small 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 JPM Europe'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 JPM Europe's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
JPM Europe Market Strength Events
Market strength indicators help investors to evaluate how JPM Europe fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JPM Europe shares will generate the highest return on investment. By undertsting and applying JPM Europe fund market strength indicators, traders can identify JPM Europe Small entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 90.1 | |||
| Day Typical Price | 90.1 | |||
| Price Action Indicator | 0.21 | |||
| Period Momentum Indicator | 0.42 |
JPM Europe Risk Indicators
The analysis of JPM Europe'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 JPM Europe's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jpm 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 | 0.5548 | |||
| Semi Deviation | 0.6673 | |||
| Standard Deviation | 0.7033 | |||
| Variance | 0.4947 | |||
| Downside Variance | 0.5178 | |||
| Semi Variance | 0.4453 | |||
| Expected Short fall | (0.64) |
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.
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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.| BTC | Bitcoin | |
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Other Information on Investing in JPM Fund
JPM Europe financial ratios help investors to determine whether JPM Fund 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 JPM with respect to the benefits of owning JPM Europe security.
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