Jay Mart Stock Forecast - Double Exponential Smoothing
| JMART Stock | THB 13.60 0.20 1.49% |
The Double Exponential Smoothing forecasted value of Jay Mart Public on the next trading day is expected to be 13.55 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.55. Jay Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Jay Mart stock prices and determine the direction of Jay Mart Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Jay Mart's historical fundamentals, such as revenue growth or operating cash flow patterns.
Jay |
Jay Mart Double Exponential Smoothing Price Forecast For the 24th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Jay Mart Public on the next trading day is expected to be 13.55 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.20, and the sum of the absolute errors of 20.55.Please note that although there have been many attempts to predict Jay 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 Jay Mart's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Jay Mart Stock Forecast Pattern
| Backtest Jay Mart | Jay Mart Price Prediction | Buy or Sell Advice |
Jay Mart Forecasted Value
In the context of forecasting Jay Mart'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. Jay Mart's downside and upside margins for the forecasting period are 10.51 and 16.59, respectively. We have considered Jay Mart'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Jay Mart stock data series using in forecasting. Note that when a statistical model is used to represent Jay Mart 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0576 |
| MAD | Mean absolute deviation | 0.3425 |
| MAPE | Mean absolute percentage error | 0.0225 |
| SAE | Sum of the absolute errors | 20.5499 |
Predictive Modules for Jay Mart
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jay Mart Public. 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 Jay Mart'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 Jay Mart
For every potential investor in Jay, whether a beginner or expert, Jay Mart's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Jay Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Jay. Basic forecasting techniques help filter out the noise by identifying Jay Mart's price trends.Jay Mart 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 Jay Mart stock to make a market-neutral strategy. Peer analysis of Jay Mart could also be used in its relative valuation, which is a method of valuing Jay Mart by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Jay Mart Public 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 Jay Mart'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 Jay Mart's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Jay Mart Market Strength Events
Market strength indicators help investors to evaluate how Jay Mart stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Jay Mart shares will generate the highest return on investment. By undertsting and applying Jay Mart stock market strength indicators, traders can identify Jay Mart Public entry and exit signals to maximize returns.
Jay Mart Risk Indicators
The analysis of Jay Mart'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 Jay Mart's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jay 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 | 2.24 | |||
| Semi Deviation | 2.53 | |||
| Standard Deviation | 3.21 | |||
| Variance | 10.32 | |||
| Downside Variance | 8.79 | |||
| Semi Variance | 6.38 | |||
| Expected Short fall | (2.83) |
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.
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Jay Mart financial ratios help investors to determine whether Jay Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jay with respect to the benefits of owning Jay Mart security.