Packaging (Germany) Technical Analysis
| PKA Stock | EUR 200.70 2.10 1.04% |
As of the 22nd of February, Packaging holds the Coefficient Of Variation of 585.51, semi deviation of 1.21, and Risk Adjusted Performance of 0.1356. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Packaging, as well as the relationship between them. Please check Packaging coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Packaging is priced some-what accurately, providing market reflects its current price of 200.7 per share.
Packaging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Packaging, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PackagingPackaging |
Packaging '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 Packaging'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 Packaging.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Packaging on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Packaging of or generate 0.0% return on investment in Packaging over 90 days. Packaging is related to or competes with Abbott Laboratories, DANAHER (DAPSG), Merck, Advanced Micro, Philip Morris, BANK OF CHINA, and TotalEnergies. Packaging Corporation of America manufactures and sells containerboard and corrugated packaging products primarily in th... More
Packaging 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 Packaging'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 Packaging of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.5 | |||
| Information Ratio | 0.1216 | |||
| Maximum Drawdown | 8.45 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 3.27 |
Packaging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Packaging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Packaging's standard deviation. In reality, there are many statistical measures that can use Packaging historical prices to predict the future Packaging's volatility.| Risk Adjusted Performance | 0.1356 | |||
| Jensen Alpha | 0.2825 | |||
| Total Risk Alpha | 0.118 | |||
| Sortino Ratio | 0.1329 | |||
| Treynor Ratio | (1.43) |
Packaging February 22, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1356 | |||
| Market Risk Adjusted Performance | (1.42) | |||
| Mean Deviation | 1.21 | |||
| Semi Deviation | 1.21 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 585.51 | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.67 | |||
| Information Ratio | 0.1216 | |||
| Jensen Alpha | 0.2825 | |||
| Total Risk Alpha | 0.118 | |||
| Sortino Ratio | 0.1329 | |||
| Treynor Ratio | (1.43) | |||
| Maximum Drawdown | 8.45 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 3.27 | |||
| Downside Variance | 2.24 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | (1.37) | |||
| Skewness | (0.01) | |||
| Kurtosis | 1.62 |
Packaging Backtested Returns
Packaging appears to be very steady, given 3 months investment horizon. Packaging maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the firm had a 0.18 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Packaging, which you can use to evaluate the volatility of the company. Please evaluate Packaging's Semi Deviation of 1.21, risk adjusted performance of 0.1356, and Coefficient Of Variation of 585.51 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Packaging holds a performance score of 13. The company holds a Beta of -0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Packaging are expected to decrease at a much lower rate. During the bear market, Packaging is likely to outperform the market. Please check Packaging's semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether Packaging's historical price patterns will revert.
Auto-correlation | 0.70 |
Good predictability
Packaging of has good predictability. Overlapping area represents the amount of predictability between Packaging time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Packaging price movement. The serial correlation of 0.7 indicates that around 70.0% of current Packaging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 62.91 |
Packaging technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Packaging Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Packaging across different markets.
About Packaging Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Packaging of on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Packaging of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Packaging price pattern first instead of the macroeconomic environment surrounding Packaging. By analyzing Packaging's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Packaging's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Packaging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Packaging February 22, 2026 Technical Indicators
Most technical analysis of Packaging help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Packaging from various momentum indicators to cycle indicators. When you analyze Packaging charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1356 | |||
| Market Risk Adjusted Performance | (1.42) | |||
| Mean Deviation | 1.21 | |||
| Semi Deviation | 1.21 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 585.51 | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.67 | |||
| Information Ratio | 0.1216 | |||
| Jensen Alpha | 0.2825 | |||
| Total Risk Alpha | 0.118 | |||
| Sortino Ratio | 0.1329 | |||
| Treynor Ratio | (1.43) | |||
| Maximum Drawdown | 8.45 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 3.27 | |||
| Downside Variance | 2.24 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | (1.37) | |||
| Skewness | (0.01) | |||
| Kurtosis | 1.62 |
Packaging February 22, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Packaging stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | (0.89) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 200.93 | ||
| Day Typical Price | 200.85 | ||
| Price Action Indicator | (1.28) | ||
| Market Facilitation Index | 2.35 |
Complementary Tools for Packaging Stock analysis
When running Packaging's price analysis, check to measure Packaging'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 Packaging is operating at the current time. Most of Packaging's value examination focuses on studying past and present price action to predict the probability of Packaging's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Packaging's price. Additionally, you may evaluate how the addition of Packaging to your portfolios can decrease your overall portfolio volatility.
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