ZIM Integrated Stock Forecast - 20 Period Moving Average
| 2SV Stock | EUR 17.61 0.03 0.17% |
The 20 Period Moving Average forecasted value of ZIM Integrated Shipping on the next trading day is expected to be 18.55 with a mean absolute deviation of 1.44 and the sum of the absolute errors of 59.12. ZIM Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ZIM Integrated's historical fundamentals, such as revenue growth or operating cash flow patterns.
ZIM |
ZIM Integrated 20 Period Moving Average Price Forecast For the 23rd of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of ZIM Integrated Shipping on the next trading day is expected to be 18.55 with a mean absolute deviation of 1.44, mean absolute percentage error of 2.86, and the sum of the absolute errors of 59.12.Please note that although there have been many attempts to predict ZIM 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 ZIM Integrated's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ZIM Integrated Stock Forecast Pattern
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ZIM Integrated Forecasted Value
In the context of forecasting ZIM Integrated'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. ZIM Integrated's downside and upside margins for the forecasting period are 12.81 and 24.29, respectively. We have considered ZIM Integrated'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of ZIM Integrated stock data series using in forecasting. Note that when a statistical model is used to represent ZIM Integrated 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 | 82.4029 |
| Bias | Arithmetic mean of the errors | -0.309 |
| MAD | Mean absolute deviation | 1.4419 |
| MAPE | Mean absolute percentage error | 0.0735 |
| SAE | Sum of the absolute errors | 59.1165 |
Predictive Modules for ZIM Integrated
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ZIM Integrated Shipping. 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 ZIM Integrated
For every potential investor in ZIM, whether a beginner or expert, ZIM Integrated's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ZIM Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ZIM. Basic forecasting techniques help filter out the noise by identifying ZIM Integrated's price trends.ZIM Integrated 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 ZIM Integrated stock to make a market-neutral strategy. Peer analysis of ZIM Integrated could also be used in its relative valuation, which is a method of valuing ZIM Integrated by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ZIM Integrated Shipping 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 ZIM Integrated'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 ZIM Integrated's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ZIM Integrated Market Strength Events
Market strength indicators help investors to evaluate how ZIM Integrated stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ZIM Integrated shares will generate the highest return on investment. By undertsting and applying ZIM Integrated stock market strength indicators, traders can identify ZIM Integrated Shipping entry and exit signals to maximize returns.
ZIM Integrated Risk Indicators
The analysis of ZIM Integrated'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 ZIM Integrated's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zim 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 | 3.88 | |||
| Semi Deviation | 5.45 | |||
| Standard Deviation | 5.75 | |||
| Variance | 33.04 | |||
| Downside Variance | 32.08 | |||
| Semi Variance | 29.74 | |||
| Expected Short fall | (4.09) |
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.
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Additional Information and Resources on Investing in ZIM Stock
When determining whether ZIM Integrated Shipping is a strong investment it is important to analyze ZIM Integrated's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ZIM Integrated's future performance. For an informed investment choice regarding ZIM Stock, refer to the following important reports:Check out Historical Fundamental Analysis of ZIM Integrated to cross-verify your projections. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.