Power Integrations Stock Forecast - Triple Exponential Smoothing
| PWI Stock | EUR 59.00 1.00 1.67% |
The Triple Exponential Smoothing forecasted value of Power Integrations on the next trading day is expected to be 58.96 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 65.45. Power Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Power Integrations' historical fundamentals, such as revenue growth or operating cash flow patterns.
Power |
Power Integrations Triple Exponential Smoothing Price Forecast For the 22nd of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Power Integrations on the next trading day is expected to be 58.96 with a mean absolute deviation of 1.11, mean absolute percentage error of 1.84, and the sum of the absolute errors of 65.45.Please note that although there have been many attempts to predict Power Stock 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 Power Integrations' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Power Integrations Stock Forecast Pattern
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Power Integrations Forecasted Value
In the context of forecasting Power Integrations' Stock 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. Power Integrations' downside and upside margins for the forecasting period are 56.77 and 61.14, respectively. We have considered Power Integrations' 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Power Integrations stock data series using in forecasting. Note that when a statistical model is used to represent Power Integrations stock, 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.1986 |
| MAD | Mean absolute deviation | 1.1094 |
| MAPE | Mean absolute percentage error | 0.0185 |
| SAE | Sum of the absolute errors | 65.4526 |
Predictive Modules for Power Integrations
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Power Integrations. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Power Integrations
For every potential investor in Power, whether a beginner or expert, Power Integrations' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Power Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Power. Basic forecasting techniques help filter out the noise by identifying Power Integrations' price trends.Power Integrations 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 Power Integrations stock to make a market-neutral strategy. Peer analysis of Power Integrations could also be used in its relative valuation, which is a method of valuing Power Integrations by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Power Integrations Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Power Integrations' 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 Power Integrations' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Power Integrations Market Strength Events
Market strength indicators help investors to evaluate how Power Integrations stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Power Integrations shares will generate the highest return on investment. By undertsting and applying Power Integrations stock market strength indicators, traders can identify Power Integrations entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 59.0 | |||
| Day Typical Price | 59.0 | |||
| Price Action Indicator | (0.50) | |||
| Period Momentum Indicator | (1.00) |
Power Integrations Risk Indicators
The analysis of Power Integrations' 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 Power Integrations' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting power stock 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 | 1.69 | |||
| Semi Deviation | 1.92 | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.64 | |||
| Downside Variance | 5.27 | |||
| Semi Variance | 3.68 | |||
| Expected Short fall | (1.94) |
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 Information and Resources on Investing in Power Stock
When determining whether Power Integrations offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Power Integrations' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Power Integrations Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Power Integrations Stock:Check out Historical Fundamental Analysis of Power Integrations to cross-verify your projections. For more detail on how to invest in Power Stock please use our How to Invest in Power Integrations guide.You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.