Tiger Brands Pink Sheet Forecast - Polynomial Regression
| TBLMY Stock | USD 10.82 0.00 0.00% |
The Polynomial Regression forecasted value of Tiger Brands Ltd on the next trading day is expected to be 10.87 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.29. Tiger Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Tiger Brands stock prices and determine the direction of Tiger Brands Ltd's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Tiger Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. Tiger |
Most investors in Tiger Brands cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Tiger Brands' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Tiger Brands' price structures and extracts relationships that further increase the generated results' accuracy.
Tiger Brands polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Tiger Brands Ltd as well as the accuracy indicators are determined from the period prices. Tiger Brands Polynomial Regression Price Forecast For the 4th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Tiger Brands Ltd on the next trading day is expected to be 10.87 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.29.Please note that although there have been many attempts to predict Tiger Pink Sheet 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 Tiger Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Tiger Brands Pink Sheet 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 Tiger Brands pink sheet data series using in forecasting. Note that when a statistical model is used to represent Tiger Brands pink sheet, 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 | 115.5348 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2179 |
| MAPE | Mean absolute percentage error | 0.0202 |
| SAE | Sum of the absolute errors | 13.2916 |
Predictive Modules for Tiger 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 Tiger Brands. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Tiger 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.
Tiger 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 Tiger Brands pink sheet to make a market-neutral strategy. Peer analysis of Tiger Brands could also be used in its relative valuation, which is a method of valuing Tiger Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Tiger Brands Market Strength Events
Market strength indicators help investors to evaluate how Tiger Brands pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tiger Brands shares will generate the highest return on investment. By undertsting and applying Tiger Brands pink sheet market strength indicators, traders can identify Tiger Brands Ltd entry and exit signals to maximize returns.
Tiger Brands Risk Indicators
The analysis of Tiger 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 Tiger Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tiger pink sheet 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 | 1.48 | |||
| Semi Deviation | 1.73 | |||
| Standard Deviation | 2.35 | |||
| Variance | 5.5 | |||
| Downside Variance | 7.33 | |||
| Semi Variance | 3.0 | |||
| Expected Short fall | (2.41) |
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.
Currently Active Assets on Macroaxis
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for Tiger Pink Sheet analysis
When running Tiger Brands' price analysis, check to measure Tiger Brands' 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 Tiger Brands is operating at the current time. Most of Tiger Brands' value examination focuses on studying past and present price action to predict the probability of Tiger Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tiger Brands' price. Additionally, you may evaluate how the addition of Tiger Brands to your portfolios can decrease your overall portfolio volatility.
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