Puma Se Stock Price Prediction
| PUMSY Stock | USD 4.63 0.06 1.28% |
Oversold Vs Overbought
63
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 fear of missing out, i.e., FOMO, can cause potential investors in PUMA SE to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying PUMA because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
PUMA SE after-hype prediction price | USD 4.63 |
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 |
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 Prediction 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 2.60 and 6.66, 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
PUMA SE is slightly 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 Prediction 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 |
0.13 | 2.03 | 0.00 | 0.05 | 0 Events / Month | 6 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
4.63 | 4.63 | 0.00 |
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PUMA SE Hype Timeline
PUMA SE is at this time traded for 4.63. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.05. 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 0.13%. %. The volatility of related hype on PUMA SE is about 570.94%, with the expected price after the next announcement by competition of 4.68. 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 PUMA SE Basic Forecasting Models 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 | |||
| ASCCY | Asics Corp ADR | 0.00 | 0 per month | 2.01 | 0.01 | 4.47 | (3.87) | 11.89 | |
| AREBW | American Rebel Holdings | 0.00 | 3 per month | 13.64 | 0.09 | 39.42 | (25.33) | 88.64 | |
| AREB | American Rebel Holdings | (0.91) | 8 per month | 0.00 | (0.05) | 12.05 | (10.00) | 112.50 | |
| CROX | Crocs Inc | 1.28 | 8 per month | 0.00 | (0.17) | 3.27 | (4.25) | 24.38 | |
| ONON | On Holding | 2.80 | 8 per month | 1.41 | 0.08 | 4.56 | (2.63) | 9.28 | |
| DECK | Deckers Outdoor | (0.22) | 8 per month | 1.93 | 0.08 | 3.99 | (3.72) | 15.66 | |
| SKX | Skechers USA | 0.43 | 10 per month | 0.00 | (0.11) | 3.29 | (3.41) | 11.05 | |
| SHOO | Steven Madden | (0.33) | 10 per month | 1.68 | (0.05) | 2.96 | (2.75) | 8.41 | |
| DBI | Designer Brands | 0.15 | 11 per month | 0.00 | (0.15) | 7.16 | (7.83) | 24.50 |
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 |
About PUMA SE Predictive Indicators
The successful prediction of PUMA SE stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as PUMA SE, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of PUMA SE based on analysis of PUMA SE hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PUMA SE's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PUMA SE's related companies.
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.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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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.