First (UK) Market Value
FCM Stock | 2.10 0.00 0.00% |
Symbol | First |
First '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 First'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 First.
06/22/2025 |
| 07/22/2025 |
If you would invest 0.00 in First on June 22, 2025 and sell it all today you would earn a total of 0.00 from holding First Class Metals or generate 0.0% return on investment in First over 30 days. First is related to or competes with Givaudan, Antofagasta PLC, EVRAZ Plc, Atalaya Mining, Metals Exploration, Amaroq Minerals, and Ferrexpo PLC. First is entity of United Kingdom. It is traded as Stock on LSE exchange. More
First 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 First'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 First Class Metals upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 14.5 | |||
Information Ratio | 0.1384 | |||
Maximum Drawdown | 83.82 | |||
Value At Risk | (7.41) | |||
Potential Upside | 27.59 |
First Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First's standard deviation. In reality, there are many statistical measures that can use First historical prices to predict the future First's volatility.Risk Adjusted Performance | 0.1493 | |||
Jensen Alpha | 1.51 | |||
Total Risk Alpha | 0.0439 | |||
Sortino Ratio | 0.1173 | |||
Treynor Ratio | 0.7626 |
First Class Metals Backtested Returns
First is abnormally volatile given 3 months investment horizon. First Class Metals secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the company had a 0.14 % return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.78% are justified by taking the suggested risk. Use First Downside Deviation of 14.5, coefficient of variation of 665.49, and Mean Deviation of 7.08 to evaluate company specific risk that cannot be diversified away. First holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 2.41, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, First will likely underperform. Use First potential upside, skewness, and the relationship between the maximum drawdown and semi variance , to analyze future returns on First.
Auto-correlation | 0.00 |
No correlation between past and present
First Class Metals has no correlation between past and present. Overlapping area represents the amount of predictability between First time series from 22nd of June 2025 to 7th of July 2025 and 7th of July 2025 to 22nd 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 First Class Metals price movement. The serial correlation of 0.0 indicates that just 0.0% of current First price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 0.86 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
First Class Metals lagged returns against current returns
Autocorrelation, which is First 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 First's stock expected returns. We can calculate the autocorrelation of First returns to help us make a trade decision. For example, suppose you find that First 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 |
First 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 First stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First stock over time.
Current vs Lagged Prices |
Timeline |
First Lagged Returns
When evaluating First's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First stock have on its future price. First 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, First autocorrelation shows the relationship between First stock current value and its past values and can show if there is a momentum factor associated with investing in First Class Metals.
Regressed Prices |
Timeline |
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First financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First security.