Murata Manufacturing Pink Sheet Forecast - Simple Regression
| MRAAF Stock | USD 17.53 1.51 9.43% |
The Simple Regression forecasted value of Murata Manufacturing Co on the next trading day is expected to be 15.85 with a mean absolute deviation of 0.98 and the sum of the absolute errors of 59.66. Murata Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Murata Manufacturing's historical fundamentals, such as revenue growth or operating cash flow patterns.
Murata |
Murata Manufacturing Simple Regression Price Forecast For the 21st of December
Given 90 days horizon, the Simple Regression forecasted value of Murata Manufacturing Co on the next trading day is expected to be 15.85 with a mean absolute deviation of 0.98, mean absolute percentage error of 1.26, and the sum of the absolute errors of 59.66.Please note that although there have been many attempts to predict Murata 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 Murata Manufacturing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Murata Manufacturing Pink Sheet Forecast Pattern
| Backtest Murata Manufacturing | Murata Manufacturing Price Prediction | Buy or Sell Advice |
Murata Manufacturing Forecasted Value
In the context of forecasting Murata Manufacturing'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. Murata Manufacturing's downside and upside margins for the forecasting period are 9.64 and 22.06, respectively. We have considered Murata Manufacturing'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Murata Manufacturing pink sheet data series using in forecasting. Note that when a statistical model is used to represent Murata Manufacturing 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 | 118.3389 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.978 |
| MAPE | Mean absolute percentage error | 0.0555 |
| SAE | Sum of the absolute errors | 59.6583 |
Predictive Modules for Murata Manufacturing
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Murata Manufacturing. 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.Other Forecasting Options for Murata Manufacturing
For every potential investor in Murata, whether a beginner or expert, Murata Manufacturing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Murata Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Murata. Basic forecasting techniques help filter out the noise by identifying Murata Manufacturing's price trends.Murata Manufacturing 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 Murata Manufacturing pink sheet to make a market-neutral strategy. Peer analysis of Murata Manufacturing could also be used in its relative valuation, which is a method of valuing Murata Manufacturing by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Murata Manufacturing 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 Murata Manufacturing'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 Murata Manufacturing's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Murata Manufacturing Market Strength Events
Market strength indicators help investors to evaluate how Murata Manufacturing 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 Murata Manufacturing shares will generate the highest return on investment. By undertsting and applying Murata Manufacturing pink sheet market strength indicators, traders can identify Murata Manufacturing Co entry and exit signals to maximize returns.
Murata Manufacturing Risk Indicators
The analysis of Murata Manufacturing'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 Murata Manufacturing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting murata 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 | 4.8 | |||
| Semi Deviation | 5.53 | |||
| Standard Deviation | 6.67 | |||
| Variance | 44.55 | |||
| Downside Variance | 36.18 | |||
| Semi Variance | 30.6 | |||
| Expected Short fall | (6.24) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Murata Pink Sheet
Murata Manufacturing financial ratios help investors to determine whether Murata 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 Murata with respect to the benefits of owning Murata Manufacturing security.