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 0.45 as of the 6th of February 2025. This is a 7.14 percent up since the beginning of the trading day. The stock's lowest day price was 0.42. 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.
Symbol
Copper
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
01/07/2025
No Change 0.00
0.0
In 31 days
02/06/2025
0.00
If you would invest 0.00 in Copper For on January 7, 2025 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.
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 appears to be abnormally volatile, given 3 months investment horizon. Copper For Commercial secures Sharpe Ratio (or Efficiency) of 0.0812, which signifies that the company had a 0.0812 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Copper For Commercial, which you can use to evaluate the volatility of the firm. Please makes use of Copper For's Downside Deviation of 3.4, risk adjusted performance of 0.066, and Mean Deviation of 1.57 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Copper For holds a performance score of 6. The firm shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Copper For's returns are expected to increase less than the market. However, during the bear market, the loss of holding Copper For is expected to be smaller as well. Please check Copper For's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Copper For's price patterns will revert.
Auto-correlation
-0.74
Almost perfect reverse predictability
Copper For Commercial has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Copper For time series from 7th of January 2025 to 22nd of January 2025 and 22nd of January 2025 to 6th of February 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 Copper For Commercial price movement. The serial correlation of -0.74 indicates that around 74.0% of current Copper For price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.74
Spearman Rank Test
0.07
Residual Average
0.0
Price Variance
0.0
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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