Spectrum Technology Stock Market Value
Spectrum Technology's market value is the price at which a share of Spectrum Technology trades on a public exchange. It measures the collective expectations of Spectrum Technology investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Spectrum Technology and determine expected loss or profit from investing in Spectrum Technology over a given investment horizon. Check out Spectrum Technology Correlation, Spectrum Technology Volatility and Spectrum Technology Alpha and Beta module to complement your research on Spectrum Technology. For information on how to trade Spectrum Stock refer to our How to Trade Spectrum Stock guide.
| Symbol | Spectrum |
Is Stock 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 Spectrum Technology. If investors know Spectrum 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 Spectrum Technology 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 Spectrum Technology is measured differently than its book value, which is the value of Spectrum that is recorded on the company's balance sheet. Investors also form their own opinion of Spectrum Technology's value that differs from its market value or its book value, called intrinsic value, which is Spectrum Technology'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 Spectrum Technology's market value can be influenced by many factors that don't directly affect Spectrum Technology'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 Spectrum Technology's value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectrum Technology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spectrum Technology'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.
Spectrum Technology '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 Spectrum Technology'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 Spectrum Technology.
| 05/12/2025 |
| 08/10/2025 |
If you would invest 0.00 in Spectrum Technology on May 12, 2025 and sell it all today you would earn a total of 0.00 from holding Spectrum Technology or generate 0.0% return on investment in Spectrum Technology over 90 days. Spectrum Technology is related to or competes with Alto Ingredients, Axcelis Technologies, Hudson Technologies, GE Vernova, Morgan Advanced, Parker Hannifin, and NiSource. Spectrum Technology Corporation is a developer of energy, life science and telecommunications technology More
Spectrum Technology 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 Spectrum Technology'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 Spectrum Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 100.0 |
Spectrum Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectrum Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectrum Technology's standard deviation. In reality, there are many statistical measures that can use Spectrum Technology historical prices to predict the future Spectrum Technology's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.51) | |||
| Total Risk Alpha | (3.46) | |||
| Treynor Ratio | 1.55 |
Spectrum Technology Backtested Returns
Spectrum Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13 % return per unit of risk over the last 3 months. Spectrum Technology exposes thirteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spectrum Technology's Coefficient Of Variation of (787.40), risk adjusted performance of (0.09), and Variance of 161.29 to confirm the risk estimate we provide. The entity has a beta of -1.05, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Spectrum Technology are expected to decrease slowly. On the other hand, during market turmoil, Spectrum Technology is expected to outperform it slightly. At this point, Spectrum Technology has a negative expected return of -1.61%. Please make sure to validate Spectrum Technology's coefficient of variation and treynor ratio , to decide if Spectrum Technology performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Spectrum Technology has no correlation between past and present. Overlapping area represents the amount of predictability between Spectrum Technology time series from 12th of May 2025 to 26th of June 2025 and 26th of June 2025 to 10th of August 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 Spectrum Technology price movement. The serial correlation of 0.0 indicates that just 0.0% of current Spectrum Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Spectrum Technology lagged returns against current returns
Autocorrelation, which is Spectrum Technology 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 Spectrum Technology's stock expected returns. We can calculate the autocorrelation of Spectrum Technology returns to help us make a trade decision. For example, suppose you find that Spectrum Technology 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 |
Spectrum Technology 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 Spectrum Technology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spectrum Technology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spectrum Technology stock over time.
Current vs Lagged Prices |
| Timeline |
Spectrum Technology Lagged Returns
When evaluating Spectrum Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spectrum Technology stock have on its future price. Spectrum Technology 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, Spectrum Technology autocorrelation shows the relationship between Spectrum Technology stock current value and its past values and can show if there is a momentum factor associated with investing in Spectrum Technology.
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 Spectrum Technology offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Spectrum Technology'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 Spectrum Technology Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Spectrum Technology Stock:Check out Spectrum Technology Correlation, Spectrum Technology Volatility and Spectrum Technology Alpha and Beta module to complement your research on Spectrum Technology. For information on how to trade Spectrum Stock refer to our How to Trade Spectrum Stock guide.You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Spectrum Technology 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.