Sigmatron International Stock Market Value
| SGMA Stock | USD 2.70 0.05 1.82% |
| Symbol | SigmaTron |
SigmaTron International Price To Book Ratio
Is Electronic Equipment, Instruments & Components 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 SigmaTron International. If investors know SigmaTron 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 SigmaTron International 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 (0.97) | Earnings Share (0.99) | Revenue Per Share 59.085 | Quarterly Revenue Growth (0.14) | Return On Assets 0.0107 |
The market value of SigmaTron International is measured differently than its book value, which is the value of SigmaTron that is recorded on the company's balance sheet. Investors also form their own opinion of SigmaTron International's value that differs from its market value or its book value, called intrinsic value, which is SigmaTron International'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 SigmaTron International's market value can be influenced by many factors that don't directly affect SigmaTron International'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 SigmaTron International's value and its price as these two are different measures arrived at by different means. Investors typically determine if SigmaTron International is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SigmaTron International'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.
SigmaTron International '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 SigmaTron International'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 SigmaTron International.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in SigmaTron International on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding SigmaTron International or generate 0.0% return on investment in SigmaTron International over 30 days. SigmaTron International is related to or competes with Integrated Media, Data IO, Research Frontiers, Maris Tech, Plexus Corp, Celestica, and Benchmark Electronics. SigmaTron International, Inc. operates as an independent provider of electronic manufacturing services More
SigmaTron International 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 SigmaTron International'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 SigmaTron International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 14.06 | |||
| Value At Risk | (6.47) | |||
| Potential Upside | 5.56 |
SigmaTron International Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SigmaTron International's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SigmaTron International's standard deviation. In reality, there are many statistical measures that can use SigmaTron International historical prices to predict the future SigmaTron International's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.83) |
SigmaTron International Backtested Returns
SigmaTron International owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1% return per unit of risk over the last 3 months. SigmaTron International exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SigmaTron International's Risk Adjusted Performance of (0.06), coefficient of variation of (1,197), and Variance of 12.0 to confirm the risk estimate we provide. The entity has a beta of 0.36, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SigmaTron International's returns are expected to increase less than the market. However, during the bear market, the loss of holding SigmaTron International is expected to be smaller as well. At this point, SigmaTron International has a negative expected return of -0.35%. Please make sure to validate SigmaTron International's treynor ratio, accumulation distribution, price action indicator, as well as the relationship between the potential upside and day median price , to decide if SigmaTron International performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.41 |
Modest reverse predictability
SigmaTron International has modest reverse predictability. Overlapping area represents the amount of predictability between SigmaTron International time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 SigmaTron International price movement. The serial correlation of -0.41 indicates that just about 41.0% of current SigmaTron International price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SigmaTron International lagged returns against current returns
Autocorrelation, which is SigmaTron International 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 SigmaTron International's stock expected returns. We can calculate the autocorrelation of SigmaTron International returns to help us make a trade decision. For example, suppose you find that SigmaTron International 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 |
SigmaTron International 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 SigmaTron International stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SigmaTron International stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SigmaTron International stock over time.
Current vs Lagged Prices |
| Timeline |
SigmaTron International Lagged Returns
When evaluating SigmaTron International's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SigmaTron International stock have on its future price. SigmaTron International 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, SigmaTron International autocorrelation shows the relationship between SigmaTron International stock current value and its past values and can show if there is a momentum factor associated with investing in SigmaTron International.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SigmaTron International offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SigmaTron International's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sigmatron International Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Sigmatron International Stock:Check out SigmaTron International Correlation, SigmaTron International Volatility and SigmaTron International Alpha and Beta module to complement your research on SigmaTron International. For information on how to trade SigmaTron Stock refer to our How to Trade SigmaTron Stock guide.You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
SigmaTron International 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.