Johnson Matthey Pink Sheet Forecast - Simple Regression

JMPLY Stock  USD 33.50  4.18  11.09%   
The Simple Regression forecasted value of Johnson Matthey PLC on the next trading day is expected to be 36.98 with a mean absolute deviation of 0.62 and the sum of the absolute errors of 38.17. Johnson Pink Sheet 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 Johnson Matthey 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.

Johnson Matthey Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of Johnson Matthey PLC on the next trading day is expected to be 36.98 with a mean absolute deviation of 0.62, mean absolute percentage error of 0.82, and the sum of the absolute errors of 38.17.
Please note that although there have been many attempts to predict Johnson 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 Johnson Matthey's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Johnson Matthey Pink Sheet Forecast Pattern

Backtest Johnson MattheyJohnson Matthey Price PredictionBuy or Sell Advice 

Johnson Matthey Forecasted Value

In the context of forecasting Johnson Matthey's Pink Sheet 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. Johnson Matthey's downside and upside margins for the forecasting period are 34.76 and 39.20, respectively. We have considered Johnson Matthey'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
33.50
36.98
Expected Value
39.20
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 Johnson Matthey pink sheet data series using in forecasting. Note that when a statistical model is used to represent Johnson Matthey 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 Criteria119.7506
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6156
MAPEMean absolute percentage error0.016
SAESum of the absolute errors38.1672
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 Johnson Matthey PLC 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 Johnson Matthey

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Johnson Matthey PLC. 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.
Hype
Prediction
LowEstimatedHigh
31.3033.5035.70
Details
Intrinsic
Valuation
LowRealHigh
33.5035.7037.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
35.2237.7140.21
Details

Other Forecasting Options for Johnson Matthey

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

View Johnson Matthey Related Equities

 Risk & Return  Correlation

Johnson Matthey PLC Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Johnson Matthey'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 Johnson Matthey's current price.

Johnson Matthey Market Strength Events

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

Johnson Matthey Risk Indicators

The analysis of Johnson Matthey'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 Johnson Matthey's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting johnson 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Johnson Pink Sheet Analysis

When running Johnson Matthey's price analysis, check to measure Johnson Matthey'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 Johnson Matthey is operating at the current time. Most of Johnson Matthey's value examination focuses on studying past and present price action to predict the probability of Johnson Matthey's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Johnson Matthey's price. Additionally, you may evaluate how the addition of Johnson Matthey to your portfolios can decrease your overall portfolio volatility.