JPMorgan Etf Forecast - Double Exponential Smoothing
| JPHY Etf | USD 46.13 0.01 0.02% |
The Double Exponential Smoothing forecasted value of JPMorgan on the next trading day is expected to be 46.19 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.07. JPMorgan Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast JPMorgan stock prices and determine the direction of JPMorgan's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of JPMorgan's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in rate. JPMorgan |
Most investors in JPMorgan cannot accurately predict what will happen the next trading day because, historically, etf 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 JPMorgan's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets JPMorgan's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for JPMorgan works best with periods where there are trends or seasonality. JPMorgan Double Exponential Smoothing Price Forecast For the 20th of April
Given 90 days horizon, the Double Exponential Smoothing forecasted value of JPMorgan on the next trading day is expected to be 46.19 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.07.Please note that although there have been many attempts to predict JPMorgan 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 JPMorgan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPMorgan Etf Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of JPMorgan etf data series using in forecasting. Note that when a statistical model is used to represent JPMorgan 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 | 0.0246 |
| MAD | Mean absolute deviation | 0.1367 |
| MAPE | Mean absolute percentage error | 0.003 |
| SAE | Sum of the absolute errors | 8.0673 |
Predictive Modules for JPMorgan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPMorgan. 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 JPMorgan'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.
JPMorgan 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 JPMorgan etf to make a market-neutral strategy. Peer analysis of JPMorgan could also be used in its relative valuation, which is a method of valuing JPMorgan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPMorgan Market Strength Events
Market strength indicators help investors to evaluate how JPMorgan etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JPMorgan shares will generate the highest return on investment. By undertsting and applying JPMorgan etf market strength indicators, traders can identify JPMorgan entry and exit signals to maximize returns.
JPMorgan Risk Indicators
The analysis of JPMorgan'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 JPMorgan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jpmorgan 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 | 0.282 | |||
| Standard Deviation | 0.3967 | |||
| Variance | 0.1574 | |||
| Downside Variance | 0.1162 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.32) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards JPMorgan in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, JPMorgan's short interest history, or implied volatility extrapolated from JPMorgan options trading.
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Try AI Portfolio ArchitectCheck out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the JPMorgan information on this page should be used as a complementary analysis to other JPMorgan's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
The market value of JPMorgan is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan'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 JPMorgan's market value can be influenced by many factors that don't directly affect JPMorgan'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 JPMorgan's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan'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.