Advanced Pharmaceutical (Egypt) Market Value

APPC Stock   2.33  0.00  0.00%   
Advanced Pharmaceutical's market value is the price at which a share of Advanced Pharmaceutical trades on a public exchange. It measures the collective expectations of Advanced Pharmaceutical Packaging investors about its performance. Advanced Pharmaceutical is trading at 2.33 as of the 18th of December 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 2.33.
With this module, you can estimate the performance of a buy and hold strategy of Advanced Pharmaceutical Packaging and determine expected loss or profit from investing in Advanced Pharmaceutical over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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Advanced Pharmaceutical '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 Advanced Pharmaceutical'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 Advanced Pharmaceutical.
0.00
09/19/2024
No Change 0.00  0.0 
In 2 months and 31 days
12/18/2024
0.00
If you would invest  0.00  in Advanced Pharmaceutical on September 19, 2024 and sell it all today you would earn a total of 0.00 from holding Advanced Pharmaceutical Packaging or generate 0.0% return on investment in Advanced Pharmaceutical over 90 days.

Advanced Pharmaceutical 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 Advanced Pharmaceutical'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 Advanced Pharmaceutical Packaging upside and downside potential and time the market with a certain degree of confidence.

Advanced Pharmaceutical Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Advanced Pharmaceutical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Advanced Pharmaceutical's standard deviation. In reality, there are many statistical measures that can use Advanced Pharmaceutical historical prices to predict the future Advanced Pharmaceutical's volatility.

Advanced Pharmaceutical Backtested Returns

We have found three technical indicators for Advanced Pharmaceutical Packaging, 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 Advanced Pharmaceutical are completely uncorrelated.

Auto-correlation

    
  1.00  

Perfect predictability

Advanced Pharmaceutical Packaging has perfect predictability. Overlapping area represents the amount of predictability between Advanced Pharmaceutical time series from 19th of September 2024 to 3rd of November 2024 and 3rd of November 2024 to 18th 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 Advanced Pharmaceutical price movement. The serial correlation of 1.0 indicates that 100.0% of current Advanced Pharmaceutical price fluctuation can be explain by its past prices.
Correlation Coefficient1.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Advanced Pharmaceutical lagged returns against current returns

Autocorrelation, which is Advanced Pharmaceutical 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 Advanced Pharmaceutical's stock expected returns. We can calculate the autocorrelation of Advanced Pharmaceutical returns to help us make a trade decision. For example, suppose you find that Advanced Pharmaceutical 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  

Advanced Pharmaceutical 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 Advanced Pharmaceutical stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Advanced Pharmaceutical stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Advanced Pharmaceutical stock over time.
   Current vs Lagged Prices   
       Timeline  

Advanced Pharmaceutical Lagged Returns

When evaluating Advanced Pharmaceutical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Advanced Pharmaceutical stock have on its future price. Advanced Pharmaceutical 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, Advanced Pharmaceutical autocorrelation shows the relationship between Advanced Pharmaceutical stock current value and its past values and can show if there is a momentum factor associated with investing in Advanced Pharmaceutical Packaging.
   Regressed Prices   
       Timeline  

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