The Simple Regression forecasted value of SHIMAMURA Co on the next trading day is expected to be 71.58 with a mean absolute deviation of 0.75 and the sum of the absolute errors of 45.90. SHIMAMURA Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SHIMAMURA's historical fundamentals, such as revenue growth or operating cash flow patterns.
SHIMAMURA
Simple Regression model is a single variable regression model that attempts to put a straight line through SHIMAMURA 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.
SHIMAMURA Simple Regression Price Forecast For the 27th of December
Given 90 days horizon, the Simple Regression forecasted value of SHIMAMURA Co on the next trading day is expected to be 71.58 with a mean absolute deviation of 0.75, mean absolute percentage error of 1.49, and the sum of the absolute errors of 45.90.
Please note that although there have been many attempts to predict SHIMAMURA 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 SHIMAMURA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting SHIMAMURA'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. SHIMAMURA's downside and upside margins for the forecasting period are 70.65 and 72.52, respectively. We have considered SHIMAMURA'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.
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 SHIMAMURA pink sheet data series using in forecasting. Note that when a statistical model is used to represent SHIMAMURA 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.
AIC
Akaike Information Criteria
118.5061
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.7524
MAPE
Mean absolute percentage error
0.0106
SAE
Sum of the absolute errors
45.8964
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 SHIMAMURA Co 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 SHIMAMURA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SHIMAMURA. 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.
For every potential investor in SHIMAMURA, whether a beginner or expert, SHIMAMURA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SHIMAMURA Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SHIMAMURA. Basic forecasting techniques help filter out the noise by identifying SHIMAMURA's price trends.
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 SHIMAMURA'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 SHIMAMURA's current price.
Market strength indicators help investors to evaluate how SHIMAMURA 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 SHIMAMURA shares will generate the highest return on investment. By undertsting and applying SHIMAMURA pink sheet market strength indicators, traders can identify SHIMAMURA Co entry and exit signals to maximize returns.
The analysis of SHIMAMURA'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 SHIMAMURA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shimamura 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.
Other Information on Investing in SHIMAMURA Pink Sheet
SHIMAMURA financial ratios help investors to determine whether SHIMAMURA Pink Sheet 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 SHIMAMURA with respect to the benefits of owning SHIMAMURA security.