Jinhui Shipping Stock Forecast - Simple Regression

JIN Stock  NOK 6.54  0.08  1.21%   
The Simple Regression forecasted value of Jinhui Shipping and on the next trading day is expected to be 6.32 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.03. Jinhui Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Jinhui Shipping price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Jinhui Shipping Simple Regression Price Forecast For the 24th of November

Given 90 days horizon, the Simple Regression forecasted value of Jinhui Shipping and on the next trading day is expected to be 6.32 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.03.
Please note that although there have been many attempts to predict Jinhui 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 Jinhui Shipping's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jinhui Shipping Stock Forecast Pattern

Backtest Jinhui ShippingJinhui Shipping Price PredictionBuy or Sell Advice 

Jinhui Shipping Forecasted Value

In the context of forecasting Jinhui 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. Jinhui Shipping's downside and upside margins for the forecasting period are 3.72 and 8.92, respectively. We have considered Jinhui 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
6.54
6.32
Expected Value
8.92
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Jinhui Shipping stock data series using in forecasting. Note that when a statistical model is used to represent Jinhui 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 Criteria114.8472
BiasArithmetic mean of the errors None
MADMean absolute deviation0.148
MAPEMean absolute percentage error0.0235
SAESum of the absolute errors9.0257
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Jinhui Shipping and historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Jinhui 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 Jinhui 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.
Hype
Prediction
LowEstimatedHigh
3.946.549.14
Details
Intrinsic
Valuation
LowRealHigh
2.805.408.00
Details

Other Forecasting Options for Jinhui Shipping

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

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

Jinhui 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 Jinhui 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 Jinhui Shipping's current price.

Jinhui Shipping Market Strength Events

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

Jinhui Shipping Risk Indicators

The analysis of Jinhui 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 Jinhui Shipping's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jinhui 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Jinhui Stock

Jinhui Shipping financial ratios help investors to determine whether Jinhui 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 Jinhui with respect to the benefits of owning Jinhui Shipping security.