Packaging (Germany) Market Value
| PKA Stock | EUR 226.30 0.50 0.22% |
| Symbol | Packaging |
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.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Packaging on November 13, 2024 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 30 days. Packaging is related to or competes with ADRIATIC METALS, Scientific Games, Evolution Mining, TSOGO SUN, Penn National, and PENN NATL. 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 | 0.6449 | |||
| Information Ratio | 0.1758 | |||
| Maximum Drawdown | 7.44 | |||
| Value At Risk | (0.98) | |||
| Potential Upside | 2.53 |
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 | 0.1973 | |||
| Jensen Alpha | 0.2333 | |||
| Total Risk Alpha | 0.1461 | |||
| Sortino Ratio | 0.3382 | |||
| Treynor Ratio | 0.3761 |
Packaging Backtested Returns
Packaging appears to be very steady, given 3 months investment horizon. Packaging maintains Sharpe Ratio (i.e., Efficiency) of 0.22, which implies the firm had a 0.22% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Packaging, which you can use to evaluate the volatility of the company. Please evaluate Packaging's Risk Adjusted Performance of 0.1973, standard deviation of 1.24, and Downside Deviation of 0.6449 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Packaging holds a performance score of 17. The company holds a Beta of 0.85, which implies possible diversification benefits within a given portfolio. Packaging returns are very sensitive to returns on the market. As the market goes up or down, Packaging is expected to follow. Please check Packaging's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Packaging's historical price patterns will revert.
Auto-correlation | -0.93 |
Near perfect reversele predictability
Packaging of has near perfect reversele predictability. Overlapping area represents the amount of predictability between Packaging time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th of December 2024. 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 -0.93 indicates that approximately 93.0% of current Packaging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.93 | |
| Spearman Rank Test | -0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 7.37 |
Packaging lagged returns against current returns
Autocorrelation, which is Packaging 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 Packaging's stock expected returns. We can calculate the autocorrelation of Packaging returns to help us make a trade decision. For example, suppose you find that Packaging 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 |
Packaging 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 Packaging stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Packaging stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Packaging stock over time.
Current vs Lagged Prices |
| Timeline |
Packaging Lagged Returns
When evaluating Packaging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Packaging stock have on its future price. Packaging 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, Packaging autocorrelation shows the relationship between Packaging stock current value and its past values and can show if there is a momentum factor associated with investing in Packaging of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Packaging Stock
Packaging financial ratios help investors to determine whether Packaging Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Packaging with respect to the benefits of owning Packaging security.