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 29th of November 2024. This is a 2.44 percent down 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.
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
10/30/2024
No Change 0.00
0.0
In 31 days
11/29/2024
0.00
If you would invest 0.00 in Copper For on October 30, 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.
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 secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of risk over the last 3 months. Copper For Commercial exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Copper For's Risk Adjusted Performance of (0.06), standard deviation of 4.19, and Mean Deviation of 3.04 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -1.15, which signifies a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Copper For are expected to decrease slowly. On the other hand, during market turmoil, Copper For is expected to outperform it slightly. At this point, Copper For Commercial has a negative expected return of -0.52%. Please make sure to confirm Copper For's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio 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
0.76
Good predictability
Copper For Commercial has good predictability. Overlapping area represents the amount of predictability between Copper For time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Copper For Commercial price movement. The serial correlation of 0.76 indicates that around 76.0% of current Copper For price fluctuation can be explain by its past prices.
Correlation Coefficient
0.76
Spearman Rank Test
0.5
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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