Quantum Computing Stock Market Value
| QUBT Stock | USD 6.65 1.05 13.64% |
| Symbol | Quantum |
Quantum Computing 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 Quantum Computing. If investors know Quantum 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 Quantum Computing listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.26) | Revenue Per Share 0.005 | Quarterly Revenue Growth 1.02 | Return On Assets (0.18) | Return On Equity (0.34) |
The market value of Quantum Computing is measured differently than its book value, which is the value of Quantum that is recorded on the company's balance sheet. Investors also form their own opinion of Quantum Computing's value that differs from its market value or its book value, called intrinsic value, which is Quantum Computing'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 Quantum Computing's market value can be influenced by many factors that don't directly affect Quantum Computing'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 Quantum Computing's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quantum Computing is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quantum Computing'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.
Quantum Computing '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 Quantum Computing'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 Quantum Computing.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Quantum Computing on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Quantum Computing or generate 0.0% return on investment in Quantum Computing over 720 days. Quantum Computing is related to or competes with Jabil Circuit, Sanmina, and Methode Electronics. Quantum Computing, Inc. focuses on providing software tools and applications for quantum computers in Virginia More
Quantum Computing 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 Quantum Computing'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 Quantum Computing upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.3 | |||
| Information Ratio | 0.272 | |||
| Maximum Drawdown | 122.3 | |||
| Value At Risk | (7.96) | |||
| Potential Upside | 29.35 |
Quantum Computing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Computing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Computing's standard deviation. In reality, there are many statistical measures that can use Quantum Computing historical prices to predict the future Quantum Computing's volatility.| Risk Adjusted Performance | 0.2231 | |||
| Jensen Alpha | 4.53 | |||
| Total Risk Alpha | 2.17 | |||
| Sortino Ratio | 0.5746 | |||
| Treynor Ratio | 1.6 |
Quantum Computing Backtested Returns
Quantum Computing is dangerous given 3 months investment horizon. Quantum Computing maintains Sharpe Ratio (i.e., Efficiency) of 0.3, which implies the firm had a 0.3% return per unit of risk over the last 3 months. We have analyzed twenty-eight different technical indicators, which can help you to evaluate if expected returns of 5.24% are justified by taking the suggested risk. Use Quantum Computing Semi Deviation of 6.38, coefficient of variation of 357.99, and Risk Adjusted Performance of 0.2231 to evaluate company specific risk that cannot be diversified away. Quantum Computing holds a performance score of 23 on a scale of zero to a hundred. The company holds a Beta of 3.05, which implies 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, Quantum Computing will likely underperform. Use Quantum Computing value at risk, and the relationship between the jensen alpha and skewness , to analyze future returns on Quantum Computing.
Auto-correlation | -0.27 |
Weak reverse predictability
Quantum Computing has weak reverse predictability. Overlapping area represents the amount of predictability between Quantum Computing time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 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 Quantum Computing price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Quantum Computing price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.66 |
Quantum Computing lagged returns against current returns
Autocorrelation, which is Quantum Computing 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 Quantum Computing's stock expected returns. We can calculate the autocorrelation of Quantum Computing returns to help us make a trade decision. For example, suppose you find that Quantum Computing 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 |
Quantum Computing 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 Quantum Computing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantum Computing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantum Computing stock over time.
Current vs Lagged Prices |
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Quantum Computing Lagged Returns
When evaluating Quantum Computing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantum Computing stock have on its future price. Quantum Computing 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, Quantum Computing autocorrelation shows the relationship between Quantum Computing stock current value and its past values and can show if there is a momentum factor associated with investing in Quantum Computing.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Quantum Stock Analysis
When running Quantum Computing's price analysis, check to measure Quantum Computing's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quantum Computing is operating at the current time. Most of Quantum Computing's value examination focuses on studying past and present price action to predict the probability of Quantum Computing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Computing's price. Additionally, you may evaluate how the addition of Quantum Computing to your portfolios can decrease your overall portfolio volatility.