PNE AG (Germany) Market Value
| PNE3 Stock | EUR 14.74 0.08 0.54% |
| Symbol | PNE |
PNE AG 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to PNE AG's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of PNE AG.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in PNE AG on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding PNE AG or generate 0.0% return on investment in PNE AG over 90 days. PNE AG is related to or competes with AIR PRODCHEMICALS, NISSAN CHEMICAL, TOREX SEMICONDUCTOR, MagnaChip Semiconductor, Mitsui Chemicals, and Mitsubishi Gas. More
PNE AG Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure PNE AG's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess PNE AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 5.92 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.74 |
PNE AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PNE AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PNE AG's standard deviation. In reality, there are many statistical measures that can use PNE AG historical prices to predict the future PNE AG's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.45) |
PNE AG Backtested Returns
PNE AG maintains Sharpe Ratio (i.e., Efficiency) of -0.0126, which implies the firm had a -0.0126 % return per unit of risk over the last 3 months. PNE AG exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PNE AG's Risk Adjusted Performance of (0.01), coefficient of variation of (7,948), and Mean Deviation of 0.7715 to confirm the risk estimate we provide. The company holds a Beta of 0.0523, which implies not very significant fluctuations relative to the market. As returns on the market increase, PNE AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding PNE AG is expected to be smaller as well. At this point, PNE AG has a negative expected return of -0.0134%. Please make sure to check PNE AG's total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if PNE AG performance from the past will be repeated at future time.
Auto-correlation | -0.06 |
Very weak reverse predictability
PNE AG has very weak reverse predictability. Overlapping area represents the amount of predictability between PNE AG time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of PNE AG price movement. The serial correlation of -0.06 indicates that barely 6.0% of current PNE AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
PNE AG lagged returns against current returns
Autocorrelation, which is PNE AG stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting PNE AG's stock expected returns. We can calculate the autocorrelation of PNE AG returns to help us make a trade decision. For example, suppose you find that PNE AG has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
PNE AG regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If PNE AG stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PNE AG stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PNE AG stock over time.
Current vs Lagged Prices |
| Timeline |
PNE AG Lagged Returns
When evaluating PNE AG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PNE AG stock have on its future price. PNE AG autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, PNE AG autocorrelation shows the relationship between PNE AG stock current value and its past values and can show if there is a momentum factor associated with investing in PNE AG.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for PNE Stock Analysis
When running PNE AG's price analysis, check to measure PNE AG'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 PNE AG is operating at the current time. Most of PNE AG's value examination focuses on studying past and present price action to predict the probability of PNE AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PNE AG's price. Additionally, you may evaluate how the addition of PNE AG to your portfolios can decrease your overall portfolio volatility.