PUMA SE Pink Sheet Forward View
| PUMSY Stock | USD 2.66 0.01 0.38% |
PUMA Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of PUMA SE's share price is below 20 indicating that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using PUMA SE hype-based prediction, you can estimate the value of PUMA SE from the perspective of PUMA SE response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of PUMA SE on the next trading day is expected to be 2.69 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.49. PUMA SE after-hype prediction price | USD 2.66 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
PUMA |
PUMA SE Additional Predictive Modules
Most predictive techniques to examine PUMA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PUMA using various technical indicators. When you analyze PUMA charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PUMA SE Naive Prediction Price Forecast For the 7th of February
Given 90 days horizon, the Naive Prediction forecasted value of PUMA SE on the next trading day is expected to be 2.69 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.49.Please note that although there have been many attempts to predict PUMA Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that PUMA SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PUMA SE Pink Sheet Forecast Pattern
| Backtest PUMA SE | PUMA SE Price Prediction | Research Analysis |
PUMA SE Forecasted Value
In the context of forecasting PUMA SE'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. PUMA SE's downside and upside margins for the forecasting period are 0.03 and 7.65, respectively. We have considered PUMA 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PUMA SE pink sheet data series using in forecasting. Note that when a statistical model is used to represent PUMA SE 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 | 115.6017 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0886 |
| MAPE | Mean absolute percentage error | 0.0393 |
| SAE | Sum of the absolute errors | 5.4938 |
Predictive Modules for PUMA 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 PUMA SE. 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 PUMA SE'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.
PUMA SE After-Hype Price Density Analysis
As far as predicting the price of PUMA SE at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in PUMA SE or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of PUMA SE, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PUMA SE Estimiated After-Hype Price Volatility
In the context of predicting PUMA SE's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PUMA SE's historical news coverage. PUMA SE's after-hype downside and upside margins for the prediction period are 0.13 and 7.62, respectively. We have considered PUMA SE's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
PUMA SE is very risky at this time. Analysis and calculation of next after-hype price of PUMA SE is based on 3 months time horizon.
PUMA SE Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as PUMA SE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PUMA SE backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with PUMA SE, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.74 | 4.96 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.66 | 2.66 | 0.00 |
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PUMA SE Hype Timeline
PUMA SE is at this time traded for 2.66. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. PUMA is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is at this time at 0.74%. %. The volatility of related hype on PUMA SE is about 0.0%, with the expected price after the next announcement by competition of 2.66. The book value of the company was at this time reported as 1.94. The company has Price/Earnings To Growth (PEG) ratio of 1.59. PUMA SE last dividend was issued on the 12th of May 2022. The entity had 10:1 split on the 24th of June 2019. Assuming the 90 days horizon the next projected press release will be within a week. Check out Historical Fundamental Analysis of PUMA SE to cross-verify your projections.PUMA SE Related Hype Analysis
Having access to credible news sources related to PUMA SE's direct competition is more important than ever and may enhance your ability to predict PUMA SE's future price movements. Getting to know how PUMA SE's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how PUMA SE may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PYTCF | Playtech plc | 0.00 | 0 per month | 0.00 | (0.02) | 0.00 | (5.38) | 29.74 | |
| PYTCY | Playtech PLC ADR | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 34.66 | |
| JDWPY | J D Wetherspoon | 0.00 | 0 per month | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | |
| DPUKY | Dominos Pizza Group | 0.00 | 0 per month | 1.79 | (0.02) | 2.63 | (2.38) | 12.50 | |
| DMPZF | Dominos Pizza Group | 0.00 | 0 per month | 0.00 | (0.10) | 0.00 | (2.04) | 17.42 | |
| PMDKY | Mitra Adiperkasa Tbk | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for PUMA SE
For every potential investor in PUMA, whether a beginner or expert, PUMA SE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. PUMA Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in PUMA. Basic forecasting techniques help filter out the noise by identifying PUMA SE's price trends.PUMA 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 PUMA SE pink sheet to make a market-neutral strategy. Peer analysis of PUMA SE could also be used in its relative valuation, which is a method of valuing PUMA SE by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PUMA SE Market Strength Events
Market strength indicators help investors to evaluate how PUMA SE 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 PUMA SE shares will generate the highest return on investment. By undertsting and applying PUMA SE pink sheet market strength indicators, traders can identify PUMA SE entry and exit signals to maximize returns.
| Accumulation Distribution | 165.38 | |||
| Daily Balance Of Power | 0.25 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 2.68 | |||
| Day Typical Price | 2.67 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | 0.01 |
PUMA SE Risk Indicators
The analysis of PUMA 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 PUMA SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting puma 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 | 3.22 | |||
| Semi Deviation | 3.14 | |||
| Standard Deviation | 4.84 | |||
| Variance | 23.38 | |||
| Downside Variance | 13.36 | |||
| Semi Variance | 9.87 | |||
| Expected Short fall | (4.01) |
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.
Story Coverage note for PUMA SE
The number of cover stories for PUMA SE depends on current market conditions and PUMA SE's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PUMA SE is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about PUMA SE's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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PUMA SE Short Properties
PUMA SE's future price predictability will typically decrease when PUMA SE's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PUMA SE often depends not only on the future outlook of the potential PUMA SE's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. PUMA SE's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.5 B | |
| Cash And Short Term Investments | 787.7 M |
Additional Tools for PUMA Pink Sheet Analysis
When running PUMA SE's price analysis, check to measure PUMA 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 PUMA SE is operating at the current time. Most of PUMA SE's value examination focuses on studying past and present price action to predict the probability of PUMA 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 PUMA SE's price. Additionally, you may evaluate how the addition of PUMA SE to your portfolios can decrease your overall portfolio volatility.