Furukawa Electric Pink Sheet Forecast - Naive Prediction
| FUWAY Stock | USD 10.90 0.00 0.00% |
The Naive Prediction forecasted value of Furukawa Electric Co on the next trading day is expected to be 10.78 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.38. Furukawa Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Furukawa Electric stock prices and determine the direction of Furukawa Electric Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Furukawa Electric's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Furukawa Electric to cross-verify your projections. Furukawa |
Most investors in Furukawa Electric cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Furukawa Electric's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Furukawa Electric's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Furukawa Electric is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Furukawa Electric Co value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period. Furukawa Electric Naive Prediction Price Forecast For the 8th of May
Given 90 days horizon, the Naive Prediction forecasted value of Furukawa Electric Co on the next trading day is expected to be 10.78 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.38.Please note that although there have been many attempts to predict Furukawa 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 Furukawa Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Furukawa Electric Pink Sheet Forecast Pattern
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Furukawa Electric Forecasted Value
In the context of forecasting Furukawa 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. Furukawa Electric's downside and upside margins for the forecasting period are 8.93 and 12.63, respectively. We have considered Furukawa 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Furukawa Electric pink sheet data series using in forecasting. Note that when a statistical model is used to represent Furukawa 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 | 114.857 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1373 |
| MAPE | Mean absolute percentage error | 0.0139 |
| SAE | Sum of the absolute errors | 8.377 |
Predictive Modules for Furukawa 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 Furukawa Electric. 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 Furukawa 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 Furukawa Electric
For every potential investor in Furukawa, whether a beginner or expert, Furukawa Electric's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Furukawa Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Furukawa. Basic forecasting techniques help filter out the noise by identifying Furukawa Electric's price trends.Furukawa Electric 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 Furukawa Electric pink sheet to make a market-neutral strategy. Peer analysis of Furukawa Electric could also be used in its relative valuation, which is a method of valuing Furukawa Electric by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Furukawa Electric 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 Furukawa 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 Furukawa Electric's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Furukawa Electric Market Strength Events
Market strength indicators help investors to evaluate how Furukawa 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 Furukawa Electric shares will generate the highest return on investment. By undertsting and applying Furukawa Electric pink sheet market strength indicators, traders can identify Furukawa Electric Co entry and exit signals to maximize returns.
Furukawa Electric Risk Indicators
The analysis of Furukawa 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 Furukawa Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting furukawa 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 | 0.9002 | |||
| Standard Deviation | 1.91 | |||
| Variance | 3.63 |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Furukawa Electric to cross-verify your projections. Note that the Furukawa Electric information on this page should be used as a complementary analysis to other Furukawa Electric's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for Furukawa Pink Sheet analysis
When running Furukawa Electric's price analysis, check to measure Furukawa 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 Furukawa Electric is operating at the current time. Most of Furukawa Electric's value examination focuses on studying past and present price action to predict the probability of Furukawa 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 Furukawa Electric's price. Additionally, you may evaluate how the addition of Furukawa Electric to your portfolios can decrease your overall portfolio volatility.
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