Al Arafa (Egypt) Market Value
| AIVCB Stock | 2.22 0.00 0.00% |
| Symbol | AIVCB |
Al Arafa '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 Al Arafa'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 Al Arafa.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Al Arafa on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Al Arafa Investment or generate 0.0% return on investment in Al Arafa over 720 days.
Al Arafa 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 Al Arafa'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 Al Arafa Investment upside and downside potential and time the market with a certain degree of confidence.
Al Arafa Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Al Arafa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Al Arafa's standard deviation. In reality, there are many statistical measures that can use Al Arafa historical prices to predict the future Al Arafa's volatility.Al Arafa Investment Backtested Returns
We have found three technical indicators for Al Arafa, which you can use to evaluate the volatility of the firm. The firm owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Al Arafa are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Al Arafa Investment has perfect predictability. Overlapping area represents the amount of predictability between Al Arafa time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd of November 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 Al Arafa Investment price movement. The serial correlation of 1.0 indicates that 100.0% of current Al Arafa price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Al Arafa Investment lagged returns against current returns
Autocorrelation, which is Al Arafa 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 Al Arafa's stock expected returns. We can calculate the autocorrelation of Al Arafa returns to help us make a trade decision. For example, suppose you find that Al Arafa 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 |
Al Arafa 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 Al Arafa stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Al Arafa stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Al Arafa stock over time.
Current vs Lagged Prices |
| Timeline |
Al Arafa Lagged Returns
When evaluating Al Arafa's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Al Arafa stock have on its future price. Al Arafa 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, Al Arafa autocorrelation shows the relationship between Al Arafa stock current value and its past values and can show if there is a momentum factor associated with investing in Al Arafa Investment.
Regressed Prices |
| Timeline |