Synnex Public Stock Forecast - Polynomial Regression
| SYNEX Stock | THB 14.80 0.50 3.50% |
The Polynomial Regression forecasted value of Synnex Public on the next trading day is expected to be 14.59 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.40. Synnex Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Synnex Public stock prices and determine the direction of Synnex Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Synnex Public's historical fundamentals, such as revenue growth or operating cash flow patterns.
Synnex |
Synnex Public Polynomial Regression Price Forecast For the 16th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Synnex Public on the next trading day is expected to be 14.59 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.14, and the sum of the absolute errors of 19.40.Please note that although there have been many attempts to predict Synnex 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 Synnex Public's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Synnex Public Stock Forecast Pattern
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Synnex Public Forecasted Value
In the context of forecasting Synnex Public'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. Synnex Public's downside and upside margins for the forecasting period are 12.46 and 16.72, respectively. We have considered Synnex Public'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Synnex Public stock data series using in forecasting. Note that when a statistical model is used to represent Synnex Public 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 | 116.1421 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.318 |
| MAPE | Mean absolute percentage error | 0.0208 |
| SAE | Sum of the absolute errors | 19.4004 |
Predictive Modules for Synnex Public
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Synnex 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 Synnex Public'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 Synnex Public
For every potential investor in Synnex, whether a beginner or expert, Synnex Public's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Synnex Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Synnex. Basic forecasting techniques help filter out the noise by identifying Synnex Public's price trends.Synnex Public 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 Synnex Public stock to make a market-neutral strategy. Peer analysis of Synnex Public could also be used in its relative valuation, which is a method of valuing Synnex Public by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Synnex 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 Synnex Public'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 Synnex Public's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Synnex Public Market Strength Events
Market strength indicators help investors to evaluate how Synnex Public stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Synnex Public shares will generate the highest return on investment. By undertsting and applying Synnex Public stock market strength indicators, traders can identify Synnex Public entry and exit signals to maximize returns.
Synnex Public Risk Indicators
The analysis of Synnex Public'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 Synnex Public's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting synnex 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 | 1.66 | |||
| Standard Deviation | 2.11 | |||
| Variance | 4.44 |
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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Synnex Public financial ratios help investors to determine whether Synnex 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 Synnex with respect to the benefits of owning Synnex Public security.