Hostess Brands Stock Forecast - Polynomial Regression
| TWNKDelisted Stock | USD 24.40 0.31 1.25% |
The Polynomial Regression forecasted value of Hostess Brands on the next trading day is expected to be 24.20 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.16. Hostess Stock Forecast is based on your current time horizon.
Hostess |
Hostess Brands Polynomial Regression Price Forecast For the 21st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Hostess Brands on the next trading day is expected to be 24.20 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.13, and the sum of the absolute errors of 16.16.Please note that although there have been many attempts to predict Hostess 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 Hostess Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hostess Brands Stock Forecast Pattern
| Backtest Hostess Brands | Hostess Brands 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 Hostess Brands stock data series using in forecasting. Note that when a statistical model is used to represent Hostess Brands 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 | 116.0896 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2648 |
| MAPE | Mean absolute percentage error | 0.0103 |
| SAE | Sum of the absolute errors | 16.1558 |
Predictive Modules for Hostess Brands
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hostess Brands. 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.Hostess Brands 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 Hostess Brands stock to make a market-neutral strategy. Peer analysis of Hostess Brands could also be used in its relative valuation, which is a method of valuing Hostess Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hostess Brands Market Strength Events
Market strength indicators help investors to evaluate how Hostess Brands stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hostess Brands shares will generate the highest return on investment. By undertsting and applying Hostess Brands stock market strength indicators, traders can identify Hostess Brands entry and exit signals to maximize returns.
Hostess Brands Risk Indicators
The analysis of Hostess Brands' 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 Hostess Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hostess 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 | 0.8939 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.45 | |||
| Downside Variance | 1.66 | |||
| Semi Variance | 1.55 | |||
| Expected Short fall | (0.87) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out World Market Map 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 signals in board of governors. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Consideration for investing in Hostess Stock
If you are still planning to invest in Hostess Brands check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Hostess Brands' history and understand the potential risks before investing.
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |