COSCO SHIPPING Stock Forecast - 8 Period Moving Average

HIFH Stock  EUR 0.72  0.01  1.41%   
The 8 Period Moving Average forecasted value of COSCO SHIPPING Energy on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.28. COSCO Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of COSCO SHIPPING's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for COSCO SHIPPING is based on an artificially constructed time series of COSCO SHIPPING daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

COSCO SHIPPING 8 Period Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of COSCO SHIPPING Energy on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.28.
Please note that although there have been many attempts to predict COSCO 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 COSCO SHIPPING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

COSCO SHIPPING Stock Forecast Pattern

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COSCO SHIPPING Forecasted Value

In the context of forecasting COSCO SHIPPING'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. COSCO SHIPPING's downside and upside margins for the forecasting period are 0.01 and 6.24, respectively. We have considered COSCO SHIPPING'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.
Market Value
0.72
0.72
Expected Value
6.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of COSCO SHIPPING stock data series using in forecasting. Note that when a statistical model is used to represent COSCO SHIPPING 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 Criteria97.8466
BiasArithmetic mean of the errors 0.005
MADMean absolute deviation0.0429
MAPEMean absolute percentage error0.0596
SAESum of the absolute errors2.275
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. COSCO SHIPPING Energy 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for COSCO SHIPPING

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COSCO SHIPPING Energy. 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.
Hype
Prediction
LowEstimatedHigh
0.040.726.23
Details
Intrinsic
Valuation
LowRealHigh
0.030.606.11
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as COSCO SHIPPING. Your research has to be compared to or analyzed against COSCO SHIPPING's peers to derive any actionable benefits. When done correctly, COSCO SHIPPING's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in COSCO SHIPPING Energy.

Other Forecasting Options for COSCO SHIPPING

For every potential investor in COSCO, whether a beginner or expert, COSCO SHIPPING's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. COSCO Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in COSCO. Basic forecasting techniques help filter out the noise by identifying COSCO SHIPPING's price trends.

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

COSCO SHIPPING Energy 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 COSCO SHIPPING'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 COSCO SHIPPING's current price.

COSCO SHIPPING Market Strength Events

Market strength indicators help investors to evaluate how COSCO SHIPPING stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading COSCO SHIPPING shares will generate the highest return on investment. By undertsting and applying COSCO SHIPPING stock market strength indicators, traders can identify COSCO SHIPPING Energy entry and exit signals to maximize returns.

COSCO SHIPPING Risk Indicators

The analysis of COSCO SHIPPING'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 COSCO SHIPPING's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cosco 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.

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Other Information on Investing in COSCO Stock

COSCO SHIPPING financial ratios help investors to determine whether COSCO Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in COSCO with respect to the benefits of owning COSCO SHIPPING security.