Mistras Group Stock Market Value
| MG Stock | USD 9.37 0.10 1.08% |
| Symbol | Mistras |
Mistras Group Price To Book Ratio
Is Research & Consulting 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 Mistras. If investors know Mistras 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 Mistras 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 19 | Earnings Share 0.35 | Revenue Per Share 23.998 | Quarterly Revenue Growth 0.019 | Return On Assets 0.0467 |
The market value of Mistras Group is measured differently than its book value, which is the value of Mistras that is recorded on the company's balance sheet. Investors also form their own opinion of Mistras' value that differs from its market value or its book value, called intrinsic value, which is Mistras' 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 Mistras' market value can be influenced by many factors that don't directly affect Mistras' 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 Mistras' value and its price as these two are different measures arrived at by different means. Investors typically determine if Mistras is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mistras' 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.
Mistras '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 Mistras' 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 Mistras.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Mistras on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Mistras Group or generate 0.0% return on investment in Mistras over 30 days. Mistras is related to or competes with Franklin Covey, TransUnion, ICF International, Huron Consulting, and Resources Connection. Mistras Group, Inc. provides technology-enabled asset protection solutions worldwide More
Mistras 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 Mistras' 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 Mistras Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 29.26 | |||
| Value At Risk | (4.10) | |||
| Potential Upside | 4.1 |
Mistras Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mistras' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mistras' standard deviation. In reality, there are many statistical measures that can use Mistras historical prices to predict the future Mistras' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.55) | |||
| Total Risk Alpha | (0.88) | |||
| Treynor Ratio | (0.12) |
Mistras Group Backtested Returns
Mistras Group has Sharpe Ratio of -0.0623, which conveys that the firm had a -0.0623% return per unit of risk over the last 3 months. Mistras exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mistras' Mean Deviation of 2.35, risk adjusted performance of (0.04), and Standard Deviation of 3.86 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 2.27, which conveys 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, Mistras will likely underperform. At this point, Mistras Group has a negative expected return of -0.24%. Please make sure to verify Mistras' kurtosis, as well as the relationship between the day median price and relative strength index , to decide if Mistras Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.57 |
Modest predictability
Mistras Group has modest predictability. Overlapping area represents the amount of predictability between Mistras time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 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 Mistras Group price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Mistras price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Mistras Group lagged returns against current returns
Autocorrelation, which is Mistras 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 Mistras' stock expected returns. We can calculate the autocorrelation of Mistras returns to help us make a trade decision. For example, suppose you find that Mistras 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 |
Mistras 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 Mistras stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mistras stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mistras stock over time.
Current vs Lagged Prices |
| Timeline |
Mistras Lagged Returns
When evaluating Mistras' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mistras stock have on its future price. Mistras 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, Mistras autocorrelation shows the relationship between Mistras stock current value and its past values and can show if there is a momentum factor associated with investing in Mistras Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Mistras Correlation, Mistras Volatility and Mistras Alpha and Beta module to complement your research on Mistras. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Mistras 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.