JPMorgan Chase Stock Forecast - Simple Exponential Smoothing
| JPM Stock | 33.11 0.55 1.69% |
The Simple Exponential Smoothing forecasted value of JPMorgan Chase Co on the next trading day is expected to be 32.91 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 20.95. JPMorgan Stock Forecast is based on your current time horizon. Although JPMorgan Chase's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of JPMorgan Chase's systematic risk associated with finding meaningful patterns of JPMorgan Chase fundamentals over time.
JPMorgan |
JPMorgan Chase Simple Exponential Smoothing Price Forecast For the 23rd of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of JPMorgan Chase Co on the next trading day is expected to be 32.91 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.36, and the sum of the absolute errors of 20.95.Please note that although there have been many attempts to predict JPMorgan Stock 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 Chase's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPMorgan Chase Stock Forecast Pattern
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JPMorgan Chase Forecasted Value
In the context of forecasting JPMorgan Chase's Stock 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. JPMorgan Chase's downside and upside margins for the forecasting period are 30.83 and 34.99, respectively. We have considered JPMorgan Chase'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 JPMorgan Chase stock data series using in forecasting. Note that when a statistical model is used to represent JPMorgan Chase stock, 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 | 115.2486 |
| Bias | Arithmetic mean of the errors | -0.0836 |
| MAD | Mean absolute deviation | 0.3492 |
| MAPE | Mean absolute percentage error | 0.0117 |
| SAE | Sum of the absolute errors | 20.9525 |
Predictive Modules for JPMorgan Chase
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 Chase. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 JPMorgan Chase
For every potential investor in JPMorgan, whether a beginner or expert, JPMorgan Chase's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. JPMorgan Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JPMorgan. Basic forecasting techniques help filter out the noise by identifying JPMorgan Chase's price trends.JPMorgan Chase 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 Chase stock to make a market-neutral strategy. Peer analysis of JPMorgan Chase could also be used in its relative valuation, which is a method of valuing JPMorgan Chase by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPMorgan Chase Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of JPMorgan Chase'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 JPMorgan Chase's current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
JPMorgan Chase Market Strength Events
Market strength indicators help investors to evaluate how JPMorgan Chase stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JPMorgan Chase shares will generate the highest return on investment. By undertsting and applying JPMorgan Chase stock market strength indicators, traders can identify JPMorgan Chase Co entry and exit signals to maximize returns.
JPMorgan Chase Risk Indicators
The analysis of JPMorgan Chase'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 Chase's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jpmorgan stock 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 | 1.11 | |||
| Semi Deviation | 1.39 | |||
| Standard Deviation | 2.03 | |||
| Variance | 4.1 | |||
| Downside Variance | 3.17 | |||
| Semi Variance | 1.92 | |||
| Expected Short fall | (1.15) |
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.
Pair Trading with JPMorgan Chase
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if JPMorgan Chase position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in JPMorgan Chase will appreciate offsetting losses from the drop in the long position's value.Moving together with JPMorgan Stock
Moving against JPMorgan Stock
The ability to find closely correlated positions to JPMorgan Chase could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace JPMorgan Chase when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back JPMorgan Chase - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling JPMorgan Chase Co to buy it.
The correlation of JPMorgan Chase is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as JPMorgan Chase moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan Chase moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for JPMorgan Chase can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of JPMorgan Chase to cross-verify your projections. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.