Qc Copper And Stock Market Value
| QCCUF Stock | USD 0.09 0 4.44% |
| Symbol | QCCUF |
QC Copper '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 QC Copper's otc 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 QC Copper.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in QC Copper on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding QC Copper and or generate 0.0% return on investment in QC Copper over 30 days. QC Copper is related to or competes with Palantir Technologies, Scottie Resources, FactSet Research, Empire State, Golden Agri-Resources, American Express, and Disney. QC Copper and Gold Inc. owns a diversified portfolio of battery metal and electric vehicle metal assets in Canada More
QC Copper 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 QC Copper's otc 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 QC Copper and upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 25.26 | |||
| Value At Risk | (7.07) | |||
| Potential Upside | 6.98 |
QC Copper Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QC Copper's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QC Copper's standard deviation. In reality, there are many statistical measures that can use QC Copper historical prices to predict the future QC Copper's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.88) | |||
| Treynor Ratio | 0.6038 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of QC Copper's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
QC Copper Backtested Returns
QC Copper retains Efficiency (Sharpe Ratio) of -0.0124, which implies the company had a -0.0124% return per unit of price deviation over the last 3 months. QC Copper exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QC Copper's market risk adjusted performance of 0.6138, and Information Ratio of (0.06) to confirm the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.23, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning QC Copper are expected to decrease at a much lower rate. During the bear market, QC Copper is likely to outperform the market. At this point, QC Copper has a negative expected return of -0.0557%. Please make sure to check QC Copper's standard deviation, kurtosis, relative strength index, as well as the relationship between the maximum drawdown and day median price , to decide if QC Copper performance from the past will be repeated sooner or later.
Auto-correlation | -0.16 |
Insignificant reverse predictability
QC Copper and has insignificant reverse predictability. Overlapping area represents the amount of predictability between QC Copper time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 QC Copper price movement. The serial correlation of -0.16 indicates that over 16.0% of current QC Copper price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
QC Copper lagged returns against current returns
Autocorrelation, which is QC Copper otc 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 QC Copper's otc stock expected returns. We can calculate the autocorrelation of QC Copper returns to help us make a trade decision. For example, suppose you find that QC Copper has exhibited high autocorrelation historically, and you observe that the otc 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 |
QC Copper 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 QC Copper otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QC Copper otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QC Copper otc stock over time.
Current vs Lagged Prices |
| Timeline |
QC Copper Lagged Returns
When evaluating QC Copper's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QC Copper otc stock have on its future price. QC Copper 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, QC Copper autocorrelation shows the relationship between QC Copper otc stock current value and its past values and can show if there is a momentum factor associated with investing in QC Copper and.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in QCCUF OTC Stock
QC Copper financial ratios help investors to determine whether QCCUF OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in QCCUF with respect to the benefits of owning QC Copper security.