JM AB Stock Forecast - Polynomial Regression
| JM Stock | 137.40 1.90 1.36% |
The Polynomial Regression forecasted value of JM AB on the next trading day is expected to be 138.73 with a mean absolute deviation of 3.03 and the sum of the absolute errors of 187.64. JM AB Stock Forecast is based on your current time horizon.
At this time The value of RSI of JM AB's share price is above 80 . This indicates that the stock is significantly overbought by investors. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 81
Buy Peaked
Oversold | Overbought |
Using JM AB hype-based prediction, you can estimate the value of JM AB from the perspective of JM AB response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of JM AB on the next trading day is expected to be 138.73 with a mean absolute deviation of 3.03 and the sum of the absolute errors of 187.64. JM AB after-hype prediction price | SEK 137.4 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
JM AB |
JM AB Additional Predictive Modules
Most predictive techniques to examine JM AB price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JM AB using various technical indicators. When you analyze JM AB charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
JM AB Polynomial Regression Price Forecast For the 7th of January
Given 90 days horizon, the Polynomial Regression forecasted value of JM AB on the next trading day is expected to be 138.73 with a mean absolute deviation of 3.03, mean absolute percentage error of 14.84, and the sum of the absolute errors of 187.64.Please note that although there have been many attempts to predict JM AB 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 JM AB's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JM AB Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of JM AB stock data series using in forecasting. Note that when a statistical model is used to represent JM AB 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 | 122.646 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.0264 |
| MAPE | Mean absolute percentage error | 0.0217 |
| SAE | Sum of the absolute errors | 187.6353 |
Predictive Modules for JM AB
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JM AB. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JM AB'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.
JM AB 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 JM AB stock to make a market-neutral strategy. Peer analysis of JM AB could also be used in its relative valuation, which is a method of valuing JM AB by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JM AB Market Strength Events
Market strength indicators help investors to evaluate how JM AB stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JM AB shares will generate the highest return on investment. By undertsting and applying JM AB stock market strength indicators, traders can identify JM AB entry and exit signals to maximize returns.
| Accumulation Distribution | 1646.75 | |||
| Daily Balance Of Power | (0.53) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 138.3 | |||
| Day Typical Price | 138.0 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (1.85) | |||
| Period Momentum Indicator | (1.90) | |||
| Relative Strength Index | 81.71 |
JM AB Risk Indicators
The analysis of JM AB'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 JM AB's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jm ab 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 | 1.22 | |||
| Semi Deviation | 2.29 | |||
| Standard Deviation | 1.99 | |||
| Variance | 3.98 | |||
| Downside Variance | 6.02 | |||
| Semi Variance | 5.26 | |||
| Expected Short fall | (1.28) |
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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Additional Tools for JM AB Stock Analysis
When running JM AB's price analysis, check to measure JM AB's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy JM AB is operating at the current time. Most of JM AB's value examination focuses on studying past and present price action to predict the probability of JM AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JM AB's price. Additionally, you may evaluate how the addition of JM AB to your portfolios can decrease your overall portfolio volatility.