Quantum Stock Market Value
| QMCO Stock | USD 21.77 12.64 138.44% |
| Symbol | Quantum |
Quantum Price To Book Ratio
Is Technology Hardware, Storage & Peripherals 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. 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 listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (13.13) | Revenue Per Share 60.743 | Quarterly Revenue Growth (0.23) | Return On Assets (0.12) |
The market value of Quantum 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's value that differs from its market value or its book value, called intrinsic value, which is Quantum'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's market value can be influenced by many factors that don't directly affect Quantum'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's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quantum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quantum'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 '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'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.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Quantum on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Quantum or generate 0.0% return on investment in Quantum over 510 days. Quantum is related to or competes with D Wave, Rigetti Computing, Cricut, Quantum Computing, Pure Storage, Dell Technologies, and Desktop Metal. Quantum Corporation provides products for storing and managing digital video and unstructured data in the Americas, Euro... More
Quantum 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'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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.0 | |||
| Information Ratio | 0.1717 | |||
| Maximum Drawdown | 51.59 | |||
| Value At Risk | (9.76) | |||
| Potential Upside | 19.76 |
Quantum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum's standard deviation. In reality, there are many statistical measures that can use Quantum historical prices to predict the future Quantum's volatility.| Risk Adjusted Performance | 0.1449 | |||
| Jensen Alpha | 3.15 | |||
| Total Risk Alpha | 0.5232 | |||
| Sortino Ratio | 0.4685 | |||
| Treynor Ratio | 0.4342 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantum's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Quantum Backtested Returns
Quantum is dangerous given 3 months investment horizon. Quantum maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the firm had a 0.19% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 4.8% are justified by taking the suggested risk. Use Quantum Semi Deviation of 6.53, coefficient of variation of 565.15, and Risk Adjusted Performance of 0.1449 to evaluate company specific risk that cannot be diversified away. Quantum holds a performance score of 15 on a scale of zero to a hundred. The company holds a Beta of 9.98, 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 will likely underperform. Use Quantum value at risk, and the relationship between the jensen alpha and skewness , to analyze future returns on Quantum.
Auto-correlation | 0.69 |
Good predictability
Quantum has good predictability. Overlapping area represents the amount of predictability between Quantum time series from 5th of July 2023 to 16th of March 2024 and 16th of March 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 Quantum price movement. The serial correlation of 0.69 indicates that around 69.0% of current Quantum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 11.32 |
Quantum lagged returns against current returns
Autocorrelation, which is Quantum 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's stock expected returns. We can calculate the autocorrelation of Quantum returns to help us make a trade decision. For example, suppose you find that Quantum 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 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantum stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantum stock over time.
Current vs Lagged Prices |
| Timeline |
Quantum Lagged Returns
When evaluating Quantum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantum stock have on its future price. Quantum 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 autocorrelation shows the relationship between Quantum stock current value and its past values and can show if there is a momentum factor associated with investing in Quantum.
Regressed Prices |
| Timeline |
Pair Trading with Quantum
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Quantum position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Quantum will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Quantum could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantum when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Quantum - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Quantum to buy it.
The correlation of Quantum is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Quantum moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantum moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Quantum can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Quantum Correlation, Quantum Volatility and Quantum Alpha and Beta module to complement your research on Quantum. To learn how to invest in Quantum Stock, please use our How to Invest in Quantum guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Quantum 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.