Uniform Industrial Stock Forecast - Simple Regression
| 2482 Stock | TWD 27.30 0.50 1.80% |
The Simple Regression forecasted value of Uniform Industrial Corp on the next trading day is expected to be 26.01 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 51.29. Uniform Stock Forecast is based on your current time horizon.
Uniform |
Uniform Industrial Simple Regression Price Forecast For the 30th of December
Given 90 days horizon, the Simple Regression forecasted value of Uniform Industrial Corp on the next trading day is expected to be 26.01 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.24, and the sum of the absolute errors of 51.29.Please note that although there have been many attempts to predict Uniform 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 Uniform Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Uniform Industrial Stock Forecast Pattern
| Backtest Uniform Industrial | Uniform Industrial Price Prediction | Buy or Sell Advice |
Uniform Industrial Forecasted Value
In the context of forecasting Uniform Industrial'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. Uniform Industrial's downside and upside margins for the forecasting period are 23.58 and 28.45, respectively. We have considered Uniform Industrial'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 Regression forecasting method's relative quality and the estimations of the prediction error of Uniform Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Uniform Industrial 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 | 118.3271 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8408 |
| MAPE | Mean absolute percentage error | 0.0289 |
| SAE | Sum of the absolute errors | 51.2867 |
Predictive Modules for Uniform Industrial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uniform Industrial Corp. 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 Uniform Industrial
For every potential investor in Uniform, whether a beginner or expert, Uniform Industrial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Uniform Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Uniform. Basic forecasting techniques help filter out the noise by identifying Uniform Industrial's price trends.Uniform Industrial 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 Uniform Industrial stock to make a market-neutral strategy. Peer analysis of Uniform Industrial could also be used in its relative valuation, which is a method of valuing Uniform Industrial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Uniform Industrial Corp 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 Uniform Industrial'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 Uniform Industrial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Uniform Industrial Market Strength Events
Market strength indicators help investors to evaluate how Uniform Industrial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uniform Industrial shares will generate the highest return on investment. By undertsting and applying Uniform Industrial stock market strength indicators, traders can identify Uniform Industrial Corp entry and exit signals to maximize returns.
Uniform Industrial Risk Indicators
The analysis of Uniform Industrial'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 Uniform Industrial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uniform 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 | 1.68 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.84 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Uniform Stock Analysis
When running Uniform Industrial's price analysis, check to measure Uniform Industrial'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 Uniform Industrial is operating at the current time. Most of Uniform Industrial's value examination focuses on studying past and present price action to predict the probability of Uniform Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uniform Industrial's price. Additionally, you may evaluate how the addition of Uniform Industrial to your portfolios can decrease your overall portfolio volatility.