KSB SE Preferred Stock Forecast - Polynomial Regression
| KSB3 Preferred Stock | 602.00 4.00 0.67% |
The Polynomial Regression forecasted value of KSB SE Co on the next trading day is expected to be 589.53 with a mean absolute deviation of 5.77 and the sum of the absolute errors of 351.89. KSB Preferred Stock Forecast is based on your current time horizon.
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KSB SE Polynomial Regression Price Forecast For the 8th of January
Given 90 days horizon, the Polynomial Regression forecasted value of KSB SE Co on the next trading day is expected to be 589.53 with a mean absolute deviation of 5.77, mean absolute percentage error of 49.09, and the sum of the absolute errors of 351.89.Please note that although there have been many attempts to predict KSB Preferred 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 KSB SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KSB SE Preferred Stock Forecast Pattern
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KSB SE Forecasted Value
In the context of forecasting KSB SE's Preferred 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. KSB SE's downside and upside margins for the forecasting period are 588.64 and 590.42, respectively. We have considered KSB SE'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of KSB SE preferred stock data series using in forecasting. Note that when a statistical model is used to represent KSB SE preferred 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 | 122.0042 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 5.7686 |
| MAPE | Mean absolute percentage error | 0.0096 |
| SAE | Sum of the absolute errors | 351.8872 |
Predictive Modules for KSB SE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KSB SE. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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 KSB SE
For every potential investor in KSB, whether a beginner or expert, KSB SE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KSB Preferred Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KSB. Basic forecasting techniques help filter out the noise by identifying KSB SE's price trends.KSB SE 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 KSB SE preferred stock to make a market-neutral strategy. Peer analysis of KSB SE could also be used in its relative valuation, which is a method of valuing KSB SE by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KSB SE Technical and Predictive Analytics
The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of KSB SE'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 KSB SE's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KSB SE Market Strength Events
Market strength indicators help investors to evaluate how KSB SE preferred stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KSB SE shares will generate the highest return on investment. By undertsting and applying KSB SE preferred stock market strength indicators, traders can identify KSB SE Co entry and exit signals to maximize returns.
KSB SE Risk Indicators
The analysis of KSB SE'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 KSB SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ksb preferred 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 | 0.7222 | |||
| Semi Deviation | 0.8916 | |||
| Standard Deviation | 0.9512 | |||
| Variance | 0.9048 | |||
| Downside Variance | 1.26 | |||
| Semi Variance | 0.7949 | |||
| Expected Short fall | (0.83) |
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 Tools for KSB Preferred Stock Analysis
When running KSB SE's price analysis, check to measure KSB SE'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 KSB SE is operating at the current time. Most of KSB SE's value examination focuses on studying past and present price action to predict the probability of KSB SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KSB SE's price. Additionally, you may evaluate how the addition of KSB SE to your portfolios can decrease your overall portfolio volatility.