Yokogawa Electric Pink Sheet Forecast - 8 Period Moving Average
YOKEY Stock | USD 43.82 0.66 1.53% |
The 8 Period Moving Average forecasted value of Yokogawa Electric Corp on the next trading day is expected to be 43.74 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 53.83. Yokogawa Pink Sheet Forecast is based on your current time horizon.
Yokogawa |
Yokogawa Electric 8 Period Moving Average Price Forecast For the 29th of November
Given 90 days horizon, the 8 Period Moving Average forecasted value of Yokogawa Electric Corp on the next trading day is expected to be 43.74 with a mean absolute deviation of 1.02, mean absolute percentage error of 2.33, and the sum of the absolute errors of 53.83.Please note that although there have been many attempts to predict Yokogawa 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 Yokogawa Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Yokogawa Electric Pink Sheet Forecast Pattern
Backtest Yokogawa Electric | Yokogawa Electric Price Prediction | Buy or Sell Advice |
Yokogawa Electric Forecasted Value
In the context of forecasting Yokogawa Electric'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. Yokogawa Electric's downside and upside margins for the forecasting period are 41.77 and 45.72, respectively. We have considered Yokogawa Electric'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Yokogawa Electric pink sheet data series using in forecasting. Note that when a statistical model is used to represent Yokogawa Electric 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 | 104.2515 |
Bias | Arithmetic mean of the errors | 0.6741 |
MAD | Mean absolute deviation | 1.0156 |
MAPE | Mean absolute percentage error | 0.0216 |
SAE | Sum of the absolute errors | 53.825 |
Predictive Modules for Yokogawa Electric
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Yokogawa Electric Corp. 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 Yokogawa Electric'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.
Other Forecasting Options for Yokogawa Electric
For every potential investor in Yokogawa, whether a beginner or expert, Yokogawa Electric's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Yokogawa Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Yokogawa. Basic forecasting techniques help filter out the noise by identifying Yokogawa Electric's price trends.View Yokogawa Electric Related Equities
Risk & Return | Correlation |
Yokogawa Electric Corp 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 Yokogawa Electric'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 Yokogawa Electric's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Yokogawa Electric Market Strength Events
Market strength indicators help investors to evaluate how Yokogawa Electric 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 Yokogawa Electric shares will generate the highest return on investment. By undertsting and applying Yokogawa Electric pink sheet market strength indicators, traders can identify Yokogawa Electric Corp entry and exit signals to maximize returns.
Daily Balance Of Power | 9.2 T | |||
Rate Of Daily Change | 1.02 | |||
Day Median Price | 43.82 | |||
Day Typical Price | 43.82 | |||
Price Action Indicator | 0.33 | |||
Period Momentum Indicator | 0.66 | |||
Relative Strength Index | 29.37 |
Yokogawa Electric Risk Indicators
The analysis of Yokogawa Electric'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 Yokogawa Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting yokogawa 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.
Mean Deviation | 1.27 | |||
Standard Deviation | 3.23 | |||
Variance | 10.44 |
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 Yokogawa Pink Sheet Analysis
When running Yokogawa Electric's price analysis, check to measure Yokogawa Electric'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 Yokogawa Electric is operating at the current time. Most of Yokogawa Electric's value examination focuses on studying past and present price action to predict the probability of Yokogawa Electric's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Yokogawa Electric's price. Additionally, you may evaluate how the addition of Yokogawa Electric to your portfolios can decrease your overall portfolio volatility.