Husqvarna Pink Sheet Forecast - Polynomial Regression
| HSQVY Stock | USD 14.53 0.14 0.95% |
Husqvarna Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Husqvarna stock prices and determine the direction of Husqvarna AB's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Husqvarna historical fundamentals such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Husqvarna to cross-verify your projections. Husqvarna |
Most investors in Husqvarna 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 Husqvarna's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Husqvarna's price structures and extracts relationships that further increase the generated results' accuracy.
Husqvarna polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Husqvarna AB as well as the accuracy indicators are determined from the period prices. Husqvarna Polynomial Regression Price Forecast For the 24th of September
Given 90 days horizon, the Polynomial Regression forecasted value of Husqvarna AB on the next trading day is expected to be 14.75 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.21, and the sum of the absolute errors of 23.00.Please note that although there have been many attempts to predict Husqvarna 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 Husqvarna's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Husqvarna Pink Sheet Forecast Pattern
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Husqvarna Forecasted Value
In the context of forecasting Husqvarna'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. Husqvarna's downside and upside margins for the forecasting period are 12.56 and 16.95, respectively. We have considered Husqvarna'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 Husqvarna pink sheet data series using in forecasting. Note that when a statistical model is used to represent Husqvarna 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 | 116.5433 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.377 |
| MAPE | Mean absolute percentage error | 0.0214 |
| SAE | Sum of the absolute errors | 22.9974 |
Predictive Modules for Husqvarna
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Husqvarna AB. Regardless of method or technology, however, to accurately forecast the stock or bond 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.Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Husqvarna'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. Please use the tools below to analyze the current value of Husqvarna in the context of predictive analytics.
Other Forecasting Options for Husqvarna
For every potential investor in Husqvarna, whether a beginner or expert, Husqvarna's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Husqvarna Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Husqvarna. Basic forecasting techniques help filter out the noise by identifying Husqvarna's price trends.Husqvarna 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 Husqvarna pink sheet to make a market-neutral strategy. Peer analysis of Husqvarna could also be used in its relative valuation, which is a method of valuing Husqvarna by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Husqvarna AB 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 Husqvarna'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 Husqvarna's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Husqvarna Risk Indicators
The analysis of Husqvarna's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Husqvarna's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Husqvarna stock price, 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 | 1.7 | |||
| Standard Deviation | 2.17 | |||
| Variance | 4.71 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Husqvarna in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Husqvarna's short interest history, or implied volatility extrapolated from Husqvarna options trading.
Becoming a Better Investor with Macroaxis
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Check out Historical Fundamental Analysis of Husqvarna to cross-verify your projections. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Husqvarna Pink Sheet analysis
When running Husqvarna's price analysis, check to measure Husqvarna'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 Husqvarna is operating at the current time. Most of Husqvarna's value examination focuses on studying past and present price action to predict the probability of Husqvarna's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Husqvarna's price. Additionally, you may evaluate how the addition of Husqvarna to your portfolios can decrease your overall portfolio volatility.
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