Allied Industrial Stock Forecast - Polynomial Regression
| 4702 Stock | TWD 12.30 0.05 0.40% |
The Polynomial Regression forecasted value of Allied Industrial on the next trading day is expected to be 12.34 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.35. Allied Stock Forecast is based on your current time horizon.
Allied |
Allied Industrial Polynomial Regression Price Forecast For the 4th of February
Given 90 days horizon, the Polynomial Regression forecasted value of Allied Industrial on the next trading day is expected to be 12.34 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 9.35.Please note that although there have been many attempts to predict Allied 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 Allied Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Allied Industrial Stock Forecast Pattern
| Backtest Allied Industrial | Allied Industrial Price Prediction | Buy or Sell Advice |
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 Allied Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Allied 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 | 114.7431 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1533 |
| MAPE | Mean absolute percentage error | 0.012 |
| SAE | Sum of the absolute errors | 9.3504 |
Predictive Modules for Allied 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 Allied Industrial. 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.Allied 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 Allied Industrial stock to make a market-neutral strategy. Peer analysis of Allied Industrial could also be used in its relative valuation, which is a method of valuing Allied Industrial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Allied Industrial Market Strength Events
Market strength indicators help investors to evaluate how Allied 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 Allied Industrial shares will generate the highest return on investment. By undertsting and applying Allied Industrial stock market strength indicators, traders can identify Allied Industrial entry and exit signals to maximize returns.
Allied Industrial Risk Indicators
The analysis of Allied 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 Allied Industrial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting allied 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 | 0.848 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.94 |
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.
Pair Trading with Allied Industrial
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Allied Industrial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Allied Industrial will appreciate offsetting losses from the drop in the long position's value.Moving against Allied Stock
| 0.62 | 1303 | Nan Ya Plastics | PairCorr |
| 0.61 | 2104 | International CSRC | PairCorr |
| 0.6 | 4739 | Coremax Corp | PairCorr |
| 0.58 | 2103 | TSRC Corp | PairCorr |
| 0.55 | 1314 | China Petrochemical | PairCorr |
The ability to find closely correlated positions to Allied Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Allied Industrial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Allied Industrial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Allied Industrial to buy it.
The correlation of Allied Industrial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Allied Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Allied Industrial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Allied Industrial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Allied Stock Analysis
When running Allied Industrial's price analysis, check to measure Allied 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 Allied Industrial is operating at the current time. Most of Allied Industrial's value examination focuses on studying past and present price action to predict the probability of Allied 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 Allied Industrial's price. Additionally, you may evaluate how the addition of Allied Industrial to your portfolios can decrease your overall portfolio volatility.