Japan Steel Pink Sheet Forecast - Polynomial Regression

JPSWFDelisted Stock  USD 29.84  0.00  0.00%   
The Polynomial Regression forecasted value of The Japan Steel on the next trading day is expected to be 28.15 with a mean absolute deviation of 1.77 and the sum of the absolute errors of 107.71. Japan Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Japan Steel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Japan Steel polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for The Japan Steel as well as the accuracy indicators are determined from the period prices.

Japan Steel Polynomial Regression Price Forecast For the 18th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of The Japan Steel on the next trading day is expected to be 28.15 with a mean absolute deviation of 1.77, mean absolute percentage error of 5.82, and the sum of the absolute errors of 107.71.
Please note that although there have been many attempts to predict Japan 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 Japan Steel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Japan Steel Pink Sheet Forecast Pattern

Backtest Japan SteelJapan Steel Price PredictionBuy or Sell Advice 

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 Japan Steel pink sheet data series using in forecasting. Note that when a statistical model is used to represent Japan Steel 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.
AICAkaike Information Criteria119.871
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7657
MAPEMean absolute percentage error0.0777
SAESum of the absolute errors107.7059
A single variable polynomial regression model attempts to put a curve through the Japan Steel historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Japan Steel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Japan Steel. 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 Japan Steel'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.
Hype
Prediction
LowEstimatedHigh
29.8429.8429.84
Details
Intrinsic
Valuation
LowRealHigh
22.8122.8132.82
Details

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

Japan Steel Market Strength Events

Market strength indicators help investors to evaluate how Japan Steel 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 Japan Steel shares will generate the highest return on investment. By undertsting and applying Japan Steel pink sheet market strength indicators, traders can identify The Japan Steel entry and exit signals to maximize returns.

Japan Steel Risk Indicators

The analysis of Japan Steel'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 Japan Steel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting japan 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.
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 Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

Other Consideration for investing in Japan Pink Sheet

If you are still planning to invest in Japan Steel check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Japan Steel's history and understand the potential risks before investing.
Global Correlations
Find global opportunities by holding instruments from different markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes