DSV AS Stock Forecast - Polynomial Regression
| DS81 Stock | 205.10 0.90 0.44% |
The Polynomial Regression forecasted value of DSV AS on the next trading day is expected to be 204.52 with a mean absolute deviation of 2.22 and the sum of the absolute errors of 135.53. DSV Stock Forecast is based on your current time horizon.
DSV |
DSV AS Polynomial Regression Price Forecast For the 9th of January
Given 90 days horizon, the Polynomial Regression forecasted value of DSV AS on the next trading day is expected to be 204.52 with a mean absolute deviation of 2.22, mean absolute percentage error of 8.26, and the sum of the absolute errors of 135.53.Please note that although there have been many attempts to predict DSV 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 DSV AS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DSV AS Stock Forecast Pattern
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DSV AS Forecasted Value
In the context of forecasting DSV AS'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. DSV AS's downside and upside margins for the forecasting period are 202.88 and 206.16, respectively. We have considered DSV AS'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 DSV AS stock data series using in forecasting. Note that when a statistical model is used to represent DSV AS 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 | 120.2223 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.2218 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 135.5315 |
Predictive Modules for DSV AS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DSV AS. 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 DSV AS
For every potential investor in DSV, whether a beginner or expert, DSV AS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DSV Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DSV. Basic forecasting techniques help filter out the noise by identifying DSV AS's price trends.DSV AS 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 DSV AS stock to make a market-neutral strategy. Peer analysis of DSV AS could also be used in its relative valuation, which is a method of valuing DSV AS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
DSV AS 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 DSV AS'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 DSV AS's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
DSV AS Market Strength Events
Market strength indicators help investors to evaluate how DSV AS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DSV AS shares will generate the highest return on investment. By undertsting and applying DSV AS stock market strength indicators, traders can identify DSV AS entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 205.1 | |||
| Day Typical Price | 205.1 | |||
| Price Action Indicator | 0.45 | |||
| Period Momentum Indicator | 0.9 |
DSV AS Risk Indicators
The analysis of DSV AS'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 DSV AS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dsv 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 | 1.37 | |||
| Semi Deviation | 1.47 | |||
| Standard Deviation | 1.9 | |||
| Variance | 3.61 | |||
| Downside Variance | 2.71 | |||
| Semi Variance | 2.17 | |||
| Expected Short fall | (1.63) |
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 DSV Stock Analysis
When running DSV AS's price analysis, check to measure DSV AS'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 DSV AS is operating at the current time. Most of DSV AS's value examination focuses on studying past and present price action to predict the probability of DSV AS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DSV AS's price. Additionally, you may evaluate how the addition of DSV AS to your portfolios can decrease your overall portfolio volatility.