JP Morgan Etf Forecast - Simple Exponential Smoothing
| BBEM Etf | 52.52 0.08 0.15% |
The Simple Exponential Smoothing forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 52.52 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.02. BBEM Etf Forecast is based on your current time horizon.
BBEM |
JP Morgan Simple Exponential Smoothing Price Forecast For the 26th of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 52.52 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.38, and the sum of the absolute errors of 27.02.Please note that although there have been many attempts to predict BBEM 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 JP Morgan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JP Morgan Etf Forecast Pattern
| Backtest JP Morgan | JP Morgan Price Prediction | Buy or Sell Advice |
JP Morgan Forecasted Value
In the context of forecasting JP Morgan'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. JP Morgan's downside and upside margins for the forecasting period are 51.40 and 53.64, respectively. We have considered JP Morgan'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of JP Morgan etf data series using in forecasting. Note that when a statistical model is used to represent JP Morgan 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 | 115.3036 |
| Bias | Arithmetic mean of the errors | 0.0046 |
| MAD | Mean absolute deviation | 0.4503 |
| MAPE | Mean absolute percentage error | 0.0083 |
| SAE | Sum of the absolute errors | 27.0187 |
Predictive Modules for JP Morgan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JP Morgan Exchange. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JP Morgan's 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 JP Morgan
For every potential investor in BBEM, whether a beginner or expert, JP Morgan's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BBEM Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BBEM. Basic forecasting techniques help filter out the noise by identifying JP Morgan's price trends.JP Morgan 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 JP Morgan etf to make a market-neutral strategy. Peer analysis of JP Morgan could also be used in its relative valuation, which is a method of valuing JP Morgan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JP Morgan Exchange Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of JP Morgan'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 JP Morgan's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
JP Morgan Market Strength Events
Market strength indicators help investors to evaluate how JP Morgan etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JP Morgan shares will generate the highest return on investment. By undertsting and applying JP Morgan etf market strength indicators, traders can identify JP Morgan Exchange Traded entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 52.52 | |||
| Day Typical Price | 52.52 | |||
| Price Action Indicator | 0.04 | |||
| Period Momentum Indicator | 0.08 | |||
| Relative Strength Index | 57.68 |
JP Morgan Risk Indicators
The analysis of JP Morgan'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 JP Morgan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bbem 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 | 0.8228 | |||
| Semi Deviation | 1.08 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.28 | |||
| Downside Variance | 1.2 | |||
| Semi Variance | 1.16 | |||
| Expected Short fall | (0.83) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of JP Morgan to cross-verify your projections. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
The market value of JP Morgan Exchange is measured differently than its book value, which is the value of BBEM that is recorded on the company's balance sheet. Investors also form their own opinion of JP Morgan's value that differs from its market value or its book value, called intrinsic value, which is JP Morgan's 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 JP Morgan's market value can be influenced by many factors that don't directly affect JP Morgan's 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 JP Morgan's value and its price as these two are different measures arrived at by different means. Investors typically determine if JP Morgan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JP Morgan's 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.