Dongbang Ship Stock Forecast - Polynomial Regression
| 099410 Stock | 2,985 90.00 3.11% |
The Polynomial Regression forecasted value of Dongbang Ship Machinery on the next trading day is expected to be 3,013 with a mean absolute deviation of 48.86 and the sum of the absolute errors of 2,981. Dongbang Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Dongbang Ship stock prices and determine the direction of Dongbang Ship Machinery's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Dongbang Ship's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Dongbang Ship to cross-verify your projections. Dongbang |
Most investors in Dongbang Ship 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 Dongbang Ship's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Dongbang Ship's price structures and extracts relationships that further increase the generated results' accuracy.
Dongbang Ship polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Dongbang Ship Machinery as well as the accuracy indicators are determined from the period prices. Dongbang Ship Polynomial Regression Price Forecast For the 28th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Dongbang Ship Machinery on the next trading day is expected to be 3,013 with a mean absolute deviation of 48.86, mean absolute percentage error of 4,009, and the sum of the absolute errors of 2,981.Please note that although there have been many attempts to predict Dongbang 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 Dongbang Ship's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Dongbang Ship Stock Forecast Pattern
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Dongbang Ship Forecasted Value
In the context of forecasting Dongbang Ship'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. Dongbang Ship's downside and upside margins for the forecasting period are 3,010 and 3,015, respectively. We have considered Dongbang Ship'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Dongbang Ship stock data series using in forecasting. Note that when a statistical model is used to represent Dongbang Ship 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 | 126.4068 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 48.8609 |
| MAPE | Mean absolute percentage error | 0.0204 |
| SAE | Sum of the absolute errors | 2980.515 |
Predictive Modules for Dongbang Ship
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dongbang Ship Machinery. 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 Dongbang Ship's 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.
Other Forecasting Options for Dongbang Ship
For every potential investor in Dongbang, whether a beginner or expert, Dongbang Ship's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dongbang Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dongbang. Basic forecasting techniques help filter out the noise by identifying Dongbang Ship's price trends.Dongbang Ship 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 Dongbang Ship stock to make a market-neutral strategy. Peer analysis of Dongbang Ship could also be used in its relative valuation, which is a method of valuing Dongbang Ship by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Dongbang Ship Machinery 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 Dongbang Ship'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 Dongbang Ship's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Dongbang Ship Market Strength Events
Market strength indicators help investors to evaluate how Dongbang Ship stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dongbang Ship shares will generate the highest return on investment. By undertsting and applying Dongbang Ship stock market strength indicators, traders can identify Dongbang Ship Machinery entry and exit signals to maximize returns.
Dongbang Ship Risk Indicators
The analysis of Dongbang Ship'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 Dongbang Ship's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dongbang 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 | 1.87 | |||
| Semi Deviation | 1.39 | |||
| Standard Deviation | 2.44 | |||
| Variance | 5.94 | |||
| Downside Variance | 3.12 | |||
| Semi Variance | 1.93 | |||
| Expected Short fall | (2.49) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Dongbang Ship in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Dongbang Ship's short interest history, or implied volatility extrapolated from Dongbang Ship options trading.
Thematic Opportunities
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Check out Historical Fundamental Analysis of Dongbang Ship to cross-verify your projections. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Complementary Tools for Dongbang Stock analysis
When running Dongbang Ship's price analysis, check to measure Dongbang Ship's 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 Dongbang Ship is operating at the current time. Most of Dongbang Ship's value examination focuses on studying past and present price action to predict the probability of Dongbang Ship's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dongbang Ship's price. Additionally, you may evaluate how the addition of Dongbang Ship to your portfolios can decrease your overall portfolio volatility.
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