Tupperware Brands Stock Forecast - Polynomial Regression

TUPDelisted Stock  USD 0.06  0.05  500.00%   
The Polynomial Regression forecasted value of Tupperware Brands on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.65. Tupperware Stock Forecast is based on your current time horizon.
  
Tupperware Brands polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Tupperware Brands as well as the accuracy indicators are determined from the period prices.

Tupperware Brands Polynomial Regression Price Forecast For the 12th of January 2025

Given 90 days horizon, the Polynomial Regression forecasted value of Tupperware Brands on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.65.
Please note that although there have been many attempts to predict Tupperware 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 Tupperware Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tupperware Brands Stock Forecast Pattern

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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 Tupperware Brands stock data series using in forecasting. Note that when a statistical model is used to represent Tupperware 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.
AICAkaike Information Criteria114.3353
BiasArithmetic mean of the errors None
MADMean absolute deviation0.109
MAPEMean absolute percentage error0.3357
SAESum of the absolute errors6.6495
A single variable polynomial regression model attempts to put a curve through the Tupperware Brands historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Tupperware 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 Tupperware 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tupperware Brands' 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.
Hype
Prediction
LowEstimatedHigh
0.060.060.06
Details
Intrinsic
Valuation
LowRealHigh
0.060.060.06
Details

Tupperware 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 Tupperware Brands stock to make a market-neutral strategy. Peer analysis of Tupperware Brands could also be used in its relative valuation, which is a method of valuing Tupperware Brands by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Tupperware Brands Market Strength Events

Market strength indicators help investors to evaluate how Tupperware 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 Tupperware Brands shares will generate the highest return on investment. By undertsting and applying Tupperware Brands stock market strength indicators, traders can identify Tupperware Brands entry and exit signals to maximize returns.

Tupperware Brands Risk Indicators

The analysis of Tupperware 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 Tupperware Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tupperware 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.
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 Tupperware Brands

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 Tupperware Brands 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 Tupperware Brands will appreciate offsetting losses from the drop in the long position's value.

Moving against Tupperware Stock

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The ability to find closely correlated positions to Tupperware Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tupperware Brands 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 Tupperware Brands - 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 Tupperware Brands to buy it.
The correlation of Tupperware Brands 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 Tupperware Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tupperware Brands 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 Tupperware Brands 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.
Pair CorrelationCorrelation Matching
Check 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 employment.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

Other Consideration for investing in Tupperware Stock

If you are still planning to invest in Tupperware 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 Tupperware Brands' history and understand the potential risks before investing.
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