Plasto Cargal (Israel) Market Value
| PLCR Stock | 344.30 0.00 0.00% |
| Symbol | Plasto |
Plasto Cargal '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 Plasto Cargal'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 Plasto Cargal.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Plasto Cargal on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Plasto Cargal Group or generate 0.0% return on investment in Plasto Cargal over 30 days. Plasto Cargal is related to or competes with MLRN Projects, Lesico, Al Bad, Ilex Medical, and Tamar Petroleum. Plasto Cargal Group Ltd develops, manufactures, and markets corrugated board and flexible packaging solutions to agricul... More
Plasto Cargal 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 Plasto Cargal'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 Plasto Cargal Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.74 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 21.86 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 4.67 |
Plasto Cargal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Plasto Cargal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Plasto Cargal's standard deviation. In reality, there are many statistical measures that can use Plasto Cargal historical prices to predict the future Plasto Cargal's volatility.| Risk Adjusted Performance | 0.0182 | |||
| Jensen Alpha | 0.0331 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.3491 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Plasto Cargal'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.
Plasto Cargal Group Backtested Returns
We consider Plasto Cargal very steady. Plasto Cargal Group maintains Sharpe Ratio (i.e., Efficiency) of 0.0496, which implies the firm had a 0.0496% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Plasto Cargal Group, which you can use to evaluate the volatility of the company. Please check Plasto Cargal's Risk Adjusted Performance of 0.0182, coefficient of variation of 6154.25, and Semi Deviation of 2.63 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. Plasto Cargal has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 0.13, which implies not very significant fluctuations relative to the market. As returns on the market increase, Plasto Cargal's returns are expected to increase less than the market. However, during the bear market, the loss of holding Plasto Cargal is expected to be smaller as well. Plasto Cargal Group right now holds a risk of 3.63%. Please check Plasto Cargal Group mean deviation, downside deviation, information ratio, as well as the relationship between the semi deviation and coefficient of variation , to decide if Plasto Cargal Group will be following its historical price patterns.
Auto-correlation | 0.57 |
Modest predictability
Plasto Cargal Group has modest predictability. Overlapping area represents the amount of predictability between Plasto Cargal time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 Plasto Cargal Group price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Plasto Cargal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 12.06 |
Plasto Cargal Group lagged returns against current returns
Autocorrelation, which is Plasto Cargal 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 Plasto Cargal's stock expected returns. We can calculate the autocorrelation of Plasto Cargal returns to help us make a trade decision. For example, suppose you find that Plasto Cargal 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 |
Plasto Cargal 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 Plasto Cargal stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Plasto Cargal stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Plasto Cargal stock over time.
Current vs Lagged Prices |
| Timeline |
Plasto Cargal Lagged Returns
When evaluating Plasto Cargal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Plasto Cargal stock have on its future price. Plasto Cargal 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, Plasto Cargal autocorrelation shows the relationship between Plasto Cargal stock current value and its past values and can show if there is a momentum factor associated with investing in Plasto Cargal Group.
Regressed Prices |
| Timeline |
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Check out Plasto Cargal Correlation, Plasto Cargal Volatility and Plasto Cargal Alpha and Beta module to complement your research on Plasto Cargal. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Plasto Stock analysis
When running Plasto Cargal's price analysis, check to measure Plasto Cargal'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 Plasto Cargal is operating at the current time. Most of Plasto Cargal's value examination focuses on studying past and present price action to predict the probability of Plasto Cargal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Plasto Cargal's price. Additionally, you may evaluate how the addition of Plasto Cargal to your portfolios can decrease your overall portfolio volatility.
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Plasto Cargal 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.