Rohm Co Pink Sheet Forecast - 4 Period Moving Average

ROHCY Stock  USD 9.36  0.12  1.30%   
The 4 Period Moving Average forecasted value of Rohm Co Ltd on the next trading day is expected to be 9.33 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 19.77. Rohm Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Rohm Co Ltd is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Rohm Co 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Rohm Co Ltd on the next trading day is expected to be 9.33 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.17, and the sum of the absolute errors of 19.77.
Please note that although there have been many attempts to predict Rohm 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 Rohm Co's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Rohm Co Pink Sheet Forecast Pattern

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Rohm Co Forecasted Value

In the context of forecasting Rohm Co'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. Rohm Co's downside and upside margins for the forecasting period are 7.08 and 11.59, respectively. We have considered Rohm Co'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
9.36
9.33
Expected Value
11.59
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Rohm Co pink sheet data series using in forecasting. Note that when a statistical model is used to represent Rohm Co 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 Criteria109.0052
BiasArithmetic mean of the errors 0.1202
MADMean absolute deviation0.3468
MAPEMean absolute percentage error0.0317
SAESum of the absolute errors19.7675
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Rohm Co. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Rohm Co Ltd and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Rohm Co

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rohm Co. 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 Rohm Co'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
6.989.2411.50
Details
Intrinsic
Valuation
LowRealHigh
6.228.4810.74
Details
Bollinger
Band Projection (param)
LowMiddleHigh
8.8210.8012.78
Details

Other Forecasting Options for Rohm Co

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

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 Risk & Return  Correlation

Rohm Co 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 Rohm Co'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 Rohm Co's current price.

Rohm Co Market Strength Events

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

Rohm Co Risk Indicators

The analysis of Rohm Co'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 Rohm Co's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rohm 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.

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Additional Tools for Rohm Pink Sheet Analysis

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