JP Morgan Etf Forecast - Simple Regression

JPIE Etf  USD 45.91  0.06  0.13%   
The Simple Regression forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 45.73 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.47. JPIE Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast JP Morgan stock prices and determine the direction of JP Morgan Exchange Traded's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of JP Morgan's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through JP Morgan price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

JP Morgan Simple Regression Price Forecast For the 28th of November

Given 90 days horizon, the Simple Regression forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 45.73 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.47.
Please note that although there have been many attempts to predict JPIE 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 MorganJP Morgan Price PredictionBuy 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 45.63 and 45.84, 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.
Market Value
45.91
45.73
Expected Value
45.84
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression 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.
AICAkaike Information Criteria113.7145
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0896
MAPEMean absolute percentage error0.002
SAESum of the absolute errors5.4683
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as JP Morgan Exchange Traded historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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.
Hype
Prediction
LowEstimatedHigh
45.8145.9146.01
Details
Intrinsic
Valuation
LowRealHigh
42.1042.2050.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
45.5845.7445.89
Details

Other Forecasting Options for JP Morgan

For every potential investor in JPIE, 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. JPIE Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JPIE. 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.

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.

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 jpie 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.
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.
When determining whether JP Morgan Exchange is a strong investment it is important to analyze JP Morgan's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact JP Morgan's future performance. For an informed investment choice regarding JPIE Etf, refer to the following important reports:
Check out Historical Fundamental Analysis of JP Morgan to cross-verify your projections.
You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of JP Morgan Exchange is measured differently than its book value, which is the value of JPIE 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.