Jing Jan Stock Forecast - Naive Prediction
| 2942 Stock | 31.40 0.80 2.61% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Jing Jan hype-based prediction, you can estimate the value of Jing Jan Retail Business from the perspective of Jing Jan response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Jing Jan Retail Business on the next trading day is expected to be 31.61 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 14.60. Jing Jan after-hype prediction price | TWD 31.4 |
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.
Jing |
Jing Jan Additional Predictive Modules
Most predictive techniques to examine Jing price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Jing using various technical indicators. When you analyze Jing 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 |
Jing Jan Naive Prediction Price Forecast For the 27th of January
Given 90 days horizon, the Naive Prediction forecasted value of Jing Jan Retail Business on the next trading day is expected to be 31.61 with a mean absolute deviation of 0.37, mean absolute percentage error of 0.18, and the sum of the absolute errors of 14.60.Please note that although there have been many attempts to predict Jing 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 Jing Jan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Jing Jan Stock Forecast Pattern
Jing Jan Forecasted Value
In the context of forecasting Jing Jan'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. Jing Jan's downside and upside margins for the forecasting period are 29.62 and 33.59, respectively. We have considered Jing Jan'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Jing Jan stock data series using in forecasting. Note that when a statistical model is used to represent Jing Jan 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 | 75.9807 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3744 |
| MAPE | Mean absolute percentage error | 0.0121 |
| SAE | Sum of the absolute errors | 14.6024 |
Predictive Modules for Jing Jan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jing Jan Retail. 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.Jing Jan Estimiated After-Hype Price Volatility
As far as predicting the price of Jing Jan at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Jing Jan or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Jing Jan, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Jing Jan Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Jing Jan is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Jing Jan backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Jing Jan, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.05 | 1.98 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
31.40 | 31.40 | 0.00 |
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Jing Jan Hype Timeline
Jing Jan Retail is presently traded for 31.40on Taiwan OTC Exchange of Taiwan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Jing is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is presently at 0.05%. %. The volatility of related hype on Jing Jan is about 0.0%, with the expected price after the next announcement by competition of 31.40. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.Jing Jan Related Hype Analysis
Having access to credible news sources related to Jing Jan's direct competition is more important than ever and may enhance your ability to predict Jing Jan's future price movements. Getting to know how Jing Jan's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Jing Jan may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 5398 | Inalways | 0.00 | 0 per month | 2.39 | 0.05 | 6.34 | (5.11) | 17.21 | |
| 5488 | Sunf Pu Technology | 0.00 | 0 per month | 0.94 | (0.05) | 2.80 | (1.25) | 5.13 | |
| 3308 | Bestec Power Electronics | 0.00 | 0 per month | 1.79 | 0.16 | 9.81 | (4.56) | 15.90 | |
| 3043 | Powercom Co | 0.00 | 0 per month | 1.46 | 0.02 | 3.90 | (2.52) | 14.49 | |
| 4556 | Bright Sheland International | 0.00 | 0 per month | 1.36 | 0.09 | 7.20 | (2.34) | 16.27 | |
| 6164 | Ledtech Electronics Corp | 0.00 | 0 per month | 1.69 | 0.11 | 9.74 | (2.90) | 16.39 | |
| 4550 | Chang Jia ME | 0.00 | 0 per month | 0.61 | 0.11 | 2.61 | (1.02) | 7.09 | |
| 911608 | BH Global | 0.00 | 0 per month | 0.00 | (0.13) | 2.61 | (2.05) | 10.58 | |
| 2061 | Feng Ching Metal | 0.00 | 0 per month | 0.00 | (0.11) | 3.60 | (3.69) | 13.70 | |
| 3018 | Lung Ming Green | 0.00 | 0 per month | 0.00 | (0.18) | 1.28 | (1.68) | 9.89 |
Other Forecasting Options for Jing Jan
For every potential investor in Jing, whether a beginner or expert, Jing Jan's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Jing Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Jing. Basic forecasting techniques help filter out the noise by identifying Jing Jan's price trends.Jing Jan 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 Jing Jan stock to make a market-neutral strategy. Peer analysis of Jing Jan could also be used in its relative valuation, which is a method of valuing Jing Jan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Jing Jan Market Strength Events
Market strength indicators help investors to evaluate how Jing Jan stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Jing Jan shares will generate the highest return on investment. By undertsting and applying Jing Jan stock market strength indicators, traders can identify Jing Jan Retail Business entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 31.4 | |||
| Day Typical Price | 31.4 | |||
| Price Action Indicator | 0.4 | |||
| Period Momentum Indicator | 0.8 |
Jing Jan Risk Indicators
The analysis of Jing Jan'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 Jing Jan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jing 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 | 1.46 | |||
| Semi Deviation | 2.03 | |||
| Standard Deviation | 2.01 | |||
| Variance | 4.04 | |||
| Downside Variance | 6.6 | |||
| Semi Variance | 4.11 | |||
| Expected Short fall | (1.60) |
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.
Story Coverage note for Jing Jan
The number of cover stories for Jing Jan depends on current market conditions and Jing Jan's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Jing Jan is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Jing Jan's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for Jing Stock Analysis
When running Jing Jan's price analysis, check to measure Jing Jan'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 Jing Jan is operating at the current time. Most of Jing Jan's value examination focuses on studying past and present price action to predict the probability of Jing Jan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jing Jan's price. Additionally, you may evaluate how the addition of Jing Jan to your portfolios can decrease your overall portfolio volatility.