Copper For (Egypt) Market Value

COPR Stock   0.40  0.00  0.00%   
Copper For's market value is the price at which a share of Copper For trades on a public exchange. It measures the collective expectations of Copper For Commercial investors about its performance. Copper For is trading at 0.4 as of the 14th of December 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 0.4.
With this module, you can estimate the performance of a buy and hold strategy of Copper For Commercial and determine expected loss or profit from investing in Copper For 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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Copper For '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 Copper For'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 Copper For.
0.00
11/14/2024
No Change 0.00  0.0 
In 30 days
12/14/2024
0.00
If you would invest  0.00  in Copper For on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding Copper For Commercial or generate 0.0% return on investment in Copper For over 30 days.

Copper For 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 Copper For'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 Copper For Commercial upside and downside potential and time the market with a certain degree of confidence.

Copper For Market Risk Indicators

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

Copper For Commercial Backtested Returns

Copper For Commercial secures Sharpe Ratio (or Efficiency) of -0.0212, which signifies that the company had a -0.0212% return per unit of risk over the last 3 months. Copper For Commercial exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Copper For's Risk Adjusted Performance of (0.10), mean deviation of 2.86, and Standard Deviation of 4.01 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Copper For are expected to decrease at a much lower rate. During the bear market, Copper For is likely to outperform the market. At this point, Copper For Commercial has a negative expected return of -0.0748%. Please make sure to confirm Copper For's maximum drawdown, potential upside, and the relationship between the jensen alpha and value at risk , to decide if Copper For Commercial performance from the past will be repeated at some point in the near future.

Auto-correlation

    
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No correlation between past and present

Copper For Commercial has no correlation between past and present. Overlapping area represents the amount of predictability between Copper For time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 Copper For Commercial price movement. The serial correlation of 0.0 indicates that just 0.0% of current Copper For price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test-0.5
Residual Average0.0
Price Variance0.0

Copper For Commercial lagged returns against current returns

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

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

Copper For Lagged Returns

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

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