Agfa Gevaert Nv Stock Market Value
| AFGVF Stock | USD 0.73 0.00 0.00% |
| Symbol | Agfa-Gevaert |
Agfa-Gevaert '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 Agfa-Gevaert's pink sheet 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 Agfa-Gevaert.
| 02/25/2025 |
| 03/27/2025 |
If you would invest 0.00 in Agfa-Gevaert on February 25, 2025 and sell it all today you would earn a total of 0.00 from holding Agfa Gevaert NV or generate 0.0% return on investment in Agfa-Gevaert over 30 days. Agfa-Gevaert is related to or competes with Enerpac Tool, Omega Flex, Luxfer Holdings, Gorman Rupp, Franklin Electric, Hurco Companies, and Helios Technologies. Agfa-Gevaert NV develops, produces, and distributes various analog and digital imaging systems, and IT solutions worldwi... More
Agfa-Gevaert 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 Agfa-Gevaert's pink sheet 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 Agfa Gevaert NV upside and downside potential and time the market with a certain degree of confidence.
Agfa-Gevaert Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Agfa-Gevaert's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Agfa-Gevaert's standard deviation. In reality, there are many statistical measures that can use Agfa-Gevaert historical prices to predict the future Agfa-Gevaert's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Agfa-Gevaert'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.
Agfa Gevaert NV Backtested Returns
We have found three technical indicators for Agfa Gevaert NV, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Agfa-Gevaert are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Agfa Gevaert NV has no correlation between past and present. Overlapping area represents the amount of predictability between Agfa-Gevaert time series from 25th of February 2025 to 12th of March 2025 and 12th of March 2025 to 27th of March 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 Agfa Gevaert NV price movement. The serial correlation of 0.0 indicates that just 0.0% of current Agfa-Gevaert price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Agfa Gevaert NV lagged returns against current returns
Autocorrelation, which is Agfa-Gevaert pink sheet'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 Agfa-Gevaert's pink sheet expected returns. We can calculate the autocorrelation of Agfa-Gevaert returns to help us make a trade decision. For example, suppose you find that Agfa-Gevaert has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Agfa-Gevaert 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 Agfa-Gevaert pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agfa-Gevaert pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agfa-Gevaert pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Agfa-Gevaert Lagged Returns
When evaluating Agfa-Gevaert's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Agfa-Gevaert pink sheet have on its future price. Agfa-Gevaert 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, Agfa-Gevaert autocorrelation shows the relationship between Agfa-Gevaert pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Agfa Gevaert NV.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Agfa-Gevaert Pink Sheet
Agfa-Gevaert financial ratios help investors to determine whether Agfa-Gevaert Pink Sheet 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 Agfa-Gevaert with respect to the benefits of owning Agfa-Gevaert security.