KURITA WTR Stock Forecast - Double Exponential Smoothing
| KWI0 Stock | EUR 68.00 1.00 1.49% |
The Double Exponential Smoothing forecasted value of KURITA WTR INDUNSPADR on the next trading day is expected to be 68.42 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 59.32. KURITA Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of KURITA WTR's historical fundamentals, such as revenue growth or operating cash flow patterns.
KURITA |
KURITA WTR Double Exponential Smoothing Price Forecast For the 7th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of KURITA WTR INDUNSPADR on the next trading day is expected to be 68.42 with a mean absolute deviation of 1.01, mean absolute percentage error of 1.73, and the sum of the absolute errors of 59.32.Please note that although there have been many attempts to predict KURITA 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 KURITA WTR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KURITA WTR Stock Forecast Pattern
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KURITA WTR Forecasted Value
In the context of forecasting KURITA WTR's 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. KURITA WTR's downside and upside margins for the forecasting period are 66.64 and 70.21, respectively. We have considered KURITA WTR'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of KURITA WTR stock data series using in forecasting. Note that when a statistical model is used to represent KURITA WTR 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 | -0.0322 |
| MAD | Mean absolute deviation | 1.0054 |
| MAPE | Mean absolute percentage error | 0.0139 |
| SAE | Sum of the absolute errors | 59.3177 |
Predictive Modules for KURITA WTR
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KURITA WTR INDUNSPADR. 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 KURITA WTR
For every potential investor in KURITA, whether a beginner or expert, KURITA WTR's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KURITA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KURITA. Basic forecasting techniques help filter out the noise by identifying KURITA WTR's price trends.KURITA WTR 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 KURITA WTR stock to make a market-neutral strategy. Peer analysis of KURITA WTR could also be used in its relative valuation, which is a method of valuing KURITA WTR by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KURITA WTR INDUNSPADR 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 KURITA WTR'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 KURITA WTR's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KURITA WTR Market Strength Events
Market strength indicators help investors to evaluate how KURITA WTR stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KURITA WTR shares will generate the highest return on investment. By undertsting and applying KURITA WTR stock market strength indicators, traders can identify KURITA WTR INDUNSPADR entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 68.0 | |||
| Day Typical Price | 68.0 | |||
| Price Action Indicator | 0.5 | |||
| Period Momentum Indicator | 1.0 |
KURITA WTR Risk Indicators
The analysis of KURITA WTR'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 KURITA WTR's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kurita 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 | 1.27 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.17 |
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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Other Information on Investing in KURITA Stock
KURITA WTR financial ratios help investors to determine whether KURITA Stock 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 KURITA with respect to the benefits of owning KURITA WTR security.