Data Storage Corp Stock Market Value
| DTST Stock | USD 4.72 0.17 3.74% |
| Symbol | Data |
Data Storage Corp Price To Book Ratio
Is Data Storage's industry 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 Data Storage. If investors know Data 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 Data Storage 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 (0.63) | Earnings Share 0.05 | Revenue Per Share 3.648 | Quarterly Revenue Growth 0.037 | Return On Assets (0) |
The market value of Data Storage Corp is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data Storage's value that differs from its market value or its book value, called intrinsic value, which is Data Storage'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 Data Storage's market value can be influenced by many factors that don't directly affect Data Storage'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 Data Storage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Storage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Storage'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.
Data Storage '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 Data Storage'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 Data Storage.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Data Storage on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Data Storage Corp or generate 0.0% return on investment in Data Storage over 720 days. Data Storage is related to or competes with VNET Group, GDS Holdings, CLARIVATE PLC, CACI International, ExlService Holdings, Gartner, and BigBearai Holdings. Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States More
Data Storage 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 Data Storage'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 Data Storage Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.53 | |||
| Information Ratio | 0.1293 | |||
| Maximum Drawdown | 44.07 | |||
| Value At Risk | (7.77) | |||
| Potential Upside | 15.11 |
Data Storage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data Storage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data Storage's standard deviation. In reality, there are many statistical measures that can use Data Storage historical prices to predict the future Data Storage's volatility.| Risk Adjusted Performance | 0.0978 | |||
| Jensen Alpha | 1.03 | |||
| Total Risk Alpha | 0.1092 | |||
| Sortino Ratio | 0.1357 | |||
| Treynor Ratio | (1.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Data Storage'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.
Data Storage Corp Backtested Returns
Data Storage appears to be unstable, given 3 months investment horizon. Data Storage Corp secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the company had a 0.12% return per unit of risk over the last 3 months. By reviewing Data Storage's technical indicators, you can evaluate if the expected return of 0.86% is justified by implied risk. Please utilize Data Storage's Mean Deviation of 4.84, downside deviation of 6.53, and Coefficient Of Variation of 703.62 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Data Storage holds a performance score of 9. The firm shows a Beta (market volatility) of -0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Data Storage are expected to decrease at a much lower rate. During the bear market, Data Storage is likely to outperform the market. Please check Data Storage's potential upside, as well as the relationship between the accumulation distribution and price action indicator , to make a quick decision on whether Data Storage's price patterns will revert.
Auto-correlation | -0.59 |
Good reverse predictability
Data Storage Corp has good reverse predictability. Overlapping area represents the amount of predictability between Data Storage time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th of April 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 Data Storage Corp price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Data Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 1.5 |
Data Storage Corp lagged returns against current returns
Autocorrelation, which is Data Storage 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 Data Storage's stock expected returns. We can calculate the autocorrelation of Data Storage returns to help us make a trade decision. For example, suppose you find that Data Storage 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 |
Data Storage 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 Data Storage stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Data Storage stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Data Storage stock over time.
Current vs Lagged Prices |
| Timeline |
Data Storage Lagged Returns
When evaluating Data Storage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Data Storage stock have on its future price. Data Storage 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, Data Storage autocorrelation shows the relationship between Data Storage stock current value and its past values and can show if there is a momentum factor associated with investing in Data Storage Corp.
Regressed Prices |
| Timeline |
Pair Trading with Data Storage
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 Data Storage 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 Data Storage will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Stock
| 0.84 | FI | Fiserv Inc Symbol Change | PairCorr |
Moving against Data Stock
| 0.7 | G | Genpact Limited Financial Report 8th of May 2024 | PairCorr |
| 0.7 | DMRC | Digimarc Earnings Call This Week | PairCorr |
| 0.6 | DXC | DXC Technology Financial Report 16th of May 2024 | PairCorr |
| 0.58 | AUR | Aurora Innovation | PairCorr |
The ability to find closely correlated positions to Data Storage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Storage 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 Data Storage - 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 Data Storage Corp to buy it.
The correlation of Data Storage 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 Data Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Storage Corp 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 Data Storage 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 Data Storage Correlation, Data Storage Volatility and Data Storage Alpha and Beta module to complement your research on Data Storage. For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Data Stock analysis
When running Data Storage's price analysis, check to measure Data Storage'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 Data Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.
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Data Storage 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.