Grupo Simec Sab Stock Market Value
| SIM Stock | USD 25.77 1.43 5.26% |
| Symbol | Grupo |
Grupo Simec SAB Price To Book Ratio
Is 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 Grupo Simec. If investors know Grupo 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 Grupo Simec listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.749 | Earnings Share 2.77 | Revenue Per Share 217.976 | Quarterly Revenue Growth (0.1) | Return On Assets 0.0467 |
The market value of Grupo Simec SAB is measured differently than its book value, which is the value of Grupo that is recorded on the company's balance sheet. Investors also form their own opinion of Grupo Simec's value that differs from its market value or its book value, called intrinsic value, which is Grupo Simec'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 Grupo Simec's market value can be influenced by many factors that don't directly affect Grupo Simec'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 Grupo Simec's value and its price as these two are different measures arrived at by different means. Investors typically determine if Grupo Simec is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Grupo Simec'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.
Grupo Simec '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 Grupo Simec'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 Grupo Simec.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Grupo Simec on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Grupo Simec SAB or generate 0.0% return on investment in Grupo Simec over 720 days. Grupo Simec is related to or competes with Synalloy, Mesabi Trust, Algoma Steel, Olympic Steel, Universal Stainless, POSCO Holdings, and Outokumpu Oyj. Grupo Simec, S.A.B. de C.V. manufactures, processes, and distributes special bar quality steel and steel alloys products... More
Grupo Simec 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 Grupo Simec'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 Grupo Simec SAB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 16.16 | |||
| Value At Risk | (5.26) | |||
| Potential Upside | 4.4 |
Grupo Simec Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Grupo Simec's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Grupo Simec's standard deviation. In reality, there are many statistical measures that can use Grupo Simec historical prices to predict the future Grupo Simec's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | (4.41) |
Grupo Simec SAB Backtested Returns
Grupo Simec SAB holds Efficiency (Sharpe) Ratio of -0.0403, which attests that the entity had a -0.0403% return per unit of risk over the last 3 months. Grupo Simec SAB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Grupo Simec's Standard Deviation of 2.71, market risk adjusted performance of (4.40), and Risk Adjusted Performance of (0.03) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0298, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Grupo Simec's returns are expected to increase less than the market. However, during the bear market, the loss of holding Grupo Simec is expected to be smaller as well. At this point, Grupo Simec SAB has a negative expected return of -0.11%. Please make sure to check out Grupo Simec's value at risk, daily balance of power, as well as the relationship between the Daily Balance Of Power and price action indicator , to decide if Grupo Simec SAB performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.03 |
Very weak reverse predictability
Grupo Simec SAB has very weak reverse predictability. Overlapping area represents the amount of predictability between Grupo Simec time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd 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 Grupo Simec SAB price movement. The serial correlation of -0.03 indicates that only 3.0% of current Grupo Simec price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 4.12 |
Grupo Simec SAB lagged returns against current returns
Autocorrelation, which is Grupo Simec 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 Grupo Simec's stock expected returns. We can calculate the autocorrelation of Grupo Simec returns to help us make a trade decision. For example, suppose you find that Grupo Simec 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 |
Grupo Simec 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 Grupo Simec stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Grupo Simec stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Grupo Simec stock over time.
Current vs Lagged Prices |
| Timeline |
Grupo Simec Lagged Returns
When evaluating Grupo Simec's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Grupo Simec stock have on its future price. Grupo Simec 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, Grupo Simec autocorrelation shows the relationship between Grupo Simec stock current value and its past values and can show if there is a momentum factor associated with investing in Grupo Simec SAB.
Regressed Prices |
| Timeline |
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Grupo Simec 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.