Argo Blockchain Plc Stock Market Value
| ARBKL Stock | USD 8.48 0.08 0.93% |
| Symbol | Argo |
Argo Blockchain plc Price To Book Ratio
Is Business Services 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 Argo Blockchain. If investors know Argo 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 Argo Blockchain 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 Argo Blockchain plc is measured differently than its book value, which is the value of Argo that is recorded on the company's balance sheet. Investors also form their own opinion of Argo Blockchain's value that differs from its market value or its book value, called intrinsic value, which is Argo Blockchain'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 Argo Blockchain's market value can be influenced by many factors that don't directly affect Argo Blockchain'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 Argo Blockchain's value and its price as these two are different measures arrived at by different means. Investors typically determine if Argo Blockchain is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Argo Blockchain'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.
Argo Blockchain '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 Argo Blockchain'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 Argo Blockchain.
| 01/06/2023 |
| 11/26/2024 |
If you would invest 0.00 in Argo Blockchain on January 6, 2023 and sell it all today you would earn a total of 0.00 from holding Argo Blockchain plc or generate 0.0% return on investment in Argo Blockchain over 690 days. Argo Blockchain is related to or competes with SAIHEAT, EBay, 1847 Holdings, Autonomix Medical,, International Business, GE Aerospace, and Microsoft. Argo Blockchain is entity of United States More
Argo Blockchain 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 Argo Blockchain'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 Argo Blockchain plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 11.64 | |||
| Value At Risk | (5.65) | |||
| Potential Upside | 3.02 |
Argo Blockchain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Argo Blockchain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Argo Blockchain's standard deviation. In reality, there are many statistical measures that can use Argo Blockchain historical prices to predict the future Argo Blockchain's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | (0.60) |
Argo Blockchain plc Backtested Returns
Argo Blockchain plc secures Sharpe Ratio (or Efficiency) of -0.0159, which signifies that the company had a -0.0159% return per unit of standard deviation over the last 3 months. Argo Blockchain plc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Argo Blockchain's risk adjusted performance of (0.05), and Mean Deviation of 1.43 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Argo Blockchain's returns are expected to increase less than the market. However, during the bear market, the loss of holding Argo Blockchain is expected to be smaller as well. At this point, Argo Blockchain plc has a negative expected return of -0.0321%. Please make sure to confirm Argo Blockchain's potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Argo Blockchain plc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.27 |
Poor predictability
Argo Blockchain plc has poor predictability. Overlapping area represents the amount of predictability between Argo Blockchain time series from 6th of January 2023 to 17th of December 2023 and 17th of December 2023 to 26th 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 Argo Blockchain plc price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Argo Blockchain price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.72 |
Argo Blockchain plc lagged returns against current returns
Autocorrelation, which is Argo Blockchain 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 Argo Blockchain's stock expected returns. We can calculate the autocorrelation of Argo Blockchain returns to help us make a trade decision. For example, suppose you find that Argo Blockchain 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 |
Argo Blockchain 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 Argo Blockchain stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Argo Blockchain stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Argo Blockchain stock over time.
Current vs Lagged Prices |
| Timeline |
Argo Blockchain Lagged Returns
When evaluating Argo Blockchain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Argo Blockchain stock have on its future price. Argo Blockchain 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, Argo Blockchain autocorrelation shows the relationship between Argo Blockchain stock current value and its past values and can show if there is a momentum factor associated with investing in Argo Blockchain plc.
Regressed Prices |
| Timeline |
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Argo Blockchain 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.