Puma Se Stock Odds of Future Pink Sheet Price Finishing Over 4.73
| PUMSY Stock | USD 4.73 0.16 3.50% |
PUMA |
PUMA SE Target Price Odds to finish over 4.73
The tendency of PUMA Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 4.73 | 90 days | 4.73 | about 7.59 |
Based on a normal probability distribution, the odds of PUMA SE to move above the current price in 90 days from now is about 7.59 (This PUMA SE probability density function shows the probability of PUMA Pink Sheet to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon PUMA SE has a beta of -0.33 indicating as returns on the benchmark increase, returns on holding PUMA SE are expected to decrease at a much lower rate. During a bear market, however, PUMA SE is likely to outperform the market. Additionally PUMA SE has an alpha of 0.251, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). PUMA SE Price Density |
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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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. PUMA SE is not an exception. The market had few large corrections towards the PUMA SE's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold PUMA SE, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of PUMA SE within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | -0.33 | |
σ | Overall volatility | 0.30 | |
Ir | Information ratio | 0.06 |
PUMA SE Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of PUMA Pink Sheet often depends not only on the future outlook of the current and 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 |
PUMA SE Technical Analysis
PUMA SE's future price can be derived by breaking down and analyzing its technical indicators over time. PUMA Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PUMA SE. In general, you should focus on analyzing PUMA Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
PUMA SE Predictive Forecast Models
PUMA SE's time-series forecasting models is one of many PUMA SE's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary PUMA SE's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
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 PUMA SE 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, PUMA SE's short interest history, or implied volatility extrapolated from PUMA SE options trading.
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.