Collective Mining Stock Market Value
| CNL Stock | 9.63 0.04 0.41% |
| Symbol | Collective |
Collective Mining Price To Book Ratio
Is Diversified Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Collective Mining. If investors know Collective will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Collective Mining listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Collective Mining is measured differently than its book value, which is the value of Collective that is recorded on the company's balance sheet. Investors also form their own opinion of Collective Mining's value that differs from its market value or its book value, called intrinsic value, which is Collective Mining's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Collective Mining's market value can be influenced by many factors that don't directly affect Collective Mining's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Collective Mining's value and its price as these two are different measures arrived at by different means. Investors typically determine if Collective Mining is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Collective Mining's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Collective Mining '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 Collective Mining'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 Collective Mining.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Collective Mining on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Collective Mining or generate 0.0% return on investment in Collective Mining over 90 days. Collective Mining is related to or competes with Dennys Corp, BioNTech, BJs Restaurants, Boyd Gaming, RLJ Lodging, Target Hospitality, and Asure Software. Cleco Corporationration operates as a public utility holding company primarily in Louisiana. More
Collective Mining 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 Collective Mining'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 Collective Mining upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 20.23 | |||
| Value At Risk | (6.29) | |||
| Potential Upside | 5.28 |
Collective Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Collective Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Collective Mining's standard deviation. In reality, there are many statistical measures that can use Collective Mining historical prices to predict the future Collective Mining's volatility.| Risk Adjusted Performance | 4.0E-4 | |||
| Jensen Alpha | 0.0623 | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | 0.0508 |
Collective Mining Backtested Returns
Collective Mining secures Sharpe Ratio (or Efficiency) of -0.0283, which signifies that the company had a -0.0283 % return per unit of risk over the last 3 months. Collective Mining exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Collective Mining's Standard Deviation of 3.85, mean deviation of 3.01, and Risk Adjusted Performance of 4.0E-4 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.78, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Collective Mining are expected to decrease at a much lower rate. During the bear market, Collective Mining is likely to outperform the market. At this point, Collective Mining has a negative expected return of -0.11%. Please make sure to confirm Collective Mining's kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Collective Mining performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.37 |
Poor reverse predictability
Collective Mining has poor reverse predictability. Overlapping area represents the amount of predictability between Collective Mining time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 Collective Mining price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Collective Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Collective Mining lagged returns against current returns
Autocorrelation, which is Collective Mining 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 Collective Mining's stock expected returns. We can calculate the autocorrelation of Collective Mining returns to help us make a trade decision. For example, suppose you find that Collective Mining 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 |
Collective Mining 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 Collective Mining stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Collective Mining stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Collective Mining stock over time.
Current vs Lagged Prices |
| Timeline |
Collective Mining Lagged Returns
When evaluating Collective Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Collective Mining stock have on its future price. Collective Mining 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, Collective Mining autocorrelation shows the relationship between Collective Mining stock current value and its past values and can show if there is a momentum factor associated with investing in Collective Mining.
Regressed Prices |
| Timeline |
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Collective Mining technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.