UPM-Kymmene Oyj Pink Sheet Forecast - Simple Exponential Smoothing
| UPMMY Stock | USD 38.28 0.35 0.92% |
The Simple Exponential Smoothing forecasted value of UPM Kymmene Oyj on the next trading day is expected to be 38.28 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 22.59. UPM-Kymmene Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast UPM-Kymmene Oyj stock prices and determine the direction of UPM Kymmene Oyj's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of UPM-Kymmene Oyj's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of UPM-Kymmene Oyj to cross-verify your projections. UPM-Kymmene |
Most investors in UPM-Kymmene Oyj 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 UPM-Kymmene Oyj's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets UPM-Kymmene Oyj's price structures and extracts relationships that further increase the generated results' accuracy.
UPM-Kymmene Oyj simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for UPM Kymmene Oyj are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as UPM Kymmene Oyj prices get older. UPM-Kymmene Oyj Simple Exponential Smoothing Price Forecast For the 2nd of June
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of UPM Kymmene Oyj on the next trading day is expected to be 38.28 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.22, and the sum of the absolute errors of 22.59.Please note that although there have been many attempts to predict UPM-Kymmene 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 UPM-Kymmene Oyj's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
UPM-Kymmene Oyj Pink Sheet Forecast Pattern
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UPM-Kymmene Oyj Forecasted Value
In the context of forecasting UPM-Kymmene Oyj'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. UPM-Kymmene Oyj's downside and upside margins for the forecasting period are 36.85 and 39.71, respectively. We have considered UPM-Kymmene Oyj'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of UPM-Kymmene Oyj pink sheet data series using in forecasting. Note that when a statistical model is used to represent UPM-Kymmene Oyj 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 | 114.7467 |
| Bias | Arithmetic mean of the errors | -0.0928 |
| MAD | Mean absolute deviation | 0.3765 |
| MAPE | Mean absolute percentage error | 0.011 |
| SAE | Sum of the absolute errors | 22.59 |
Predictive Modules for UPM-Kymmene Oyj
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as UPM Kymmene Oyj. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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, anticipate that the market will even out over time. This tendency of UPM-Kymmene Oyj'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.
Other Forecasting Options for UPM-Kymmene Oyj
For every potential investor in UPM-Kymmene, whether a beginner or expert, UPM-Kymmene Oyj's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. UPM-Kymmene Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in UPM-Kymmene. Basic forecasting techniques help filter out the noise by identifying UPM-Kymmene Oyj's price trends.UPM-Kymmene Oyj 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 UPM-Kymmene Oyj pink sheet to make a market-neutral strategy. Peer analysis of UPM-Kymmene Oyj could also be used in its relative valuation, which is a method of valuing UPM-Kymmene Oyj by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
UPM Kymmene Oyj Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of UPM-Kymmene Oyj'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 UPM-Kymmene Oyj's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
UPM-Kymmene Oyj Market Strength Events
Market strength indicators help investors to evaluate how UPM-Kymmene Oyj pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading UPM-Kymmene Oyj shares will generate the highest return on investment. By undertsting and applying UPM-Kymmene Oyj pink sheet market strength indicators, traders can identify UPM Kymmene Oyj entry and exit signals to maximize returns.
UPM-Kymmene Oyj Risk Indicators
The analysis of UPM-Kymmene Oyj'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 UPM-Kymmene Oyj's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting upm-kymmene pink sheet 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 | 1.08 | |||
| Semi Deviation | 1.31 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.02 | |||
| Downside Variance | 2.31 | |||
| Semi Variance | 1.73 | |||
| Expected Short fall | (1.14) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Historical Fundamental Analysis of UPM-Kymmene Oyj to cross-verify your projections. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for UPM-Kymmene Pink Sheet analysis
When running UPM-Kymmene Oyj's price analysis, check to measure UPM-Kymmene Oyj'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 UPM-Kymmene Oyj is operating at the current time. Most of UPM-Kymmene Oyj's value examination focuses on studying past and present price action to predict the probability of UPM-Kymmene Oyj's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UPM-Kymmene Oyj's price. Additionally, you may evaluate how the addition of UPM-Kymmene Oyj to your portfolios can decrease your overall portfolio volatility.
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