Digital Turbine Stock Market Value
| APPS Stock | USD 1.91 0.05 2.55% |
| Symbol | Digital |
Digital Turbine Price To Book Ratio
Is Digital Turbine'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 Digital Turbine. If investors know Digital 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 Digital Turbine 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 (0.43) | Earnings Share (1.97) | Revenue Per Share 5.707 | Quarterly Revenue Growth (0.12) | Return On Assets (0.01) |
The market value of Digital Turbine is measured differently than its book value, which is the value of Digital that is recorded on the company's balance sheet. Investors also form their own opinion of Digital Turbine's value that differs from its market value or its book value, called intrinsic value, which is Digital Turbine'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 Digital Turbine's market value can be influenced by many factors that don't directly affect Digital Turbine'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 Digital Turbine's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Turbine is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital Turbine'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.
Digital Turbine '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 Digital Turbine'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 Digital Turbine.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Digital Turbine on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Digital Turbine or generate 0.0% return on investment in Digital Turbine over 30 days. Digital Turbine is related to or competes with Snowflake, C3 Ai, and Gitlab. Digital Turbine, Inc., through its subsidiaries, operates a mobile growth platform for advertisers, publishers, carriers... More
Digital Turbine 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 Digital Turbine'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 Digital Turbine upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 29.47 | |||
| Value At Risk | (7.91) | |||
| Potential Upside | 5.67 |
Digital Turbine Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Turbine's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Turbine's standard deviation. In reality, there are many statistical measures that can use Digital Turbine historical prices to predict the future Digital Turbine's volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (1.49) | |||
| Total Risk Alpha | (1.88) | |||
| Treynor Ratio | 2.92 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Digital Turbine'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.
Digital Turbine Backtested Returns
Digital Turbine secures Sharpe Ratio (or Efficiency) of -0.33, which denotes the company had a -0.33% return per unit of risk over the last 3 months. Digital Turbine exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Digital Turbine's Variance of 22.65, mean deviation of 3.37, and Standard Deviation of 4.76 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.52, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Digital Turbine are expected to decrease at a much lower rate. During the bear market, Digital Turbine is likely to outperform the market. Digital Turbine has an expected return of -1.56%. Please make sure to confirm Digital Turbine treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Digital Turbine performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.45 |
Modest reverse predictability
Digital Turbine has modest reverse predictability. Overlapping area represents the amount of predictability between Digital Turbine time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Digital Turbine price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Digital Turbine price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Digital Turbine lagged returns against current returns
Autocorrelation, which is Digital Turbine 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 Digital Turbine's stock expected returns. We can calculate the autocorrelation of Digital Turbine returns to help us make a trade decision. For example, suppose you find that Digital Turbine 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 |
Digital Turbine 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 Digital Turbine stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digital Turbine stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digital Turbine stock over time.
Current vs Lagged Prices |
| Timeline |
Digital Turbine Lagged Returns
When evaluating Digital Turbine's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digital Turbine stock have on its future price. Digital Turbine 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, Digital Turbine autocorrelation shows the relationship between Digital Turbine stock current value and its past values and can show if there is a momentum factor associated with investing in Digital Turbine.
Regressed Prices |
| Timeline |
Digital Turbine Implied Volatility | 162.44 |
Digital Turbine's implied volatility exposes the market's sentiment of Digital Turbine stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Digital Turbine's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Digital Turbine stock will not fluctuate a lot when Digital Turbine's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Digital Turbine in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Digital Turbine's short interest history, or implied volatility extrapolated from Digital Turbine options trading.
Pair Trading with Digital Turbine
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 Digital Turbine 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 Digital Turbine will appreciate offsetting losses from the drop in the long position's value.Moving together with Digital Stock
| 0.83 | U | Unity Software Aggressive Push | PairCorr |
| 0.93 | DT | Dynatrace Holdings LLC Potential Growth | PairCorr |
Moving against Digital Stock
| 0.84 | DPSI | DecisionPoint Systems Financial Report 20th of May 2024 | PairCorr |
| 0.79 | ML | MoneyLion Financial Report 14th of May 2024 | PairCorr |
| 0.7 | VERX | Vertex Financial Report 8th of May 2024 | PairCorr |
| 0.58 | DUOL | Duolingo Financial Report 14th of May 2024 | PairCorr |
| 0.47 | DJCO | Daily Journal Corp | PairCorr |
The ability to find closely correlated positions to Digital Turbine could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digital Turbine 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 Digital Turbine - 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 Digital Turbine to buy it.
The correlation of Digital Turbine 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 Digital Turbine moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digital Turbine 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 Digital Turbine 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 Digital Turbine Correlation, Digital Turbine Volatility and Digital Turbine Alpha and Beta module to complement your research on Digital Turbine. For more information on how to buy Digital Stock please use our How to Invest in Digital Turbine guide.You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Digital Stock analysis
When running Digital Turbine's price analysis, check to measure Digital Turbine'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 Digital Turbine is operating at the current time. Most of Digital Turbine's value examination focuses on studying past and present price action to predict the probability of Digital Turbine's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Turbine's price. Additionally, you may evaluate how the addition of Digital Turbine to your portfolios can decrease your overall portfolio volatility.
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Digital Turbine 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.