Digital Health Acquisition Stock Market Value
| DHAC Stock | USD 12.00 0.01 0.08% |
| Symbol | Digital |
Digital Health Acqui Price To Book Ratio
Is Digital Health'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 Health. 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 Health listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.08) | Return On Assets (0.36) |
The market value of Digital Health Acqui 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 Health's value that differs from its market value or its book value, called intrinsic value, which is Digital Health'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 Health's market value can be influenced by many factors that don't directly affect Digital Health'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 Health's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Health is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital Health'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 Health '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 Health'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 Health.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Digital Health on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Digital Health Acquisition or generate 0.0% return on investment in Digital Health over 30 days. Digital Health is related to or competes with Alpha One, and Zalatoris. Digital Health Acquisition Corp. does not have significant operations More
Digital Health 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 Health'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 Health Acquisition upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 18.94 | |||
| Value At Risk | (2.64) | |||
| Potential Upside | 2.94 |
Digital Health Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Health's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Health's standard deviation. In reality, there are many statistical measures that can use Digital Health historical prices to predict the future Digital Health's volatility.| Risk Adjusted Performance | 0.0027 | |||
| Jensen Alpha | 0.0567 | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | 0.0282 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Digital Health'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 Health Acqui Backtested Returns
We consider Digital Health not too volatile. Digital Health Acqui secures Sharpe Ratio (or Efficiency) of 2.0E-4, which denotes the company had a 2.0E-4% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Digital Health Acquisition, which you can use to evaluate the volatility of the firm. Please confirm Digital Health's Mean Deviation of 1.15, standard deviation of 2.39, and Variance of 5.71 to check if the risk estimate we provide is consistent with the expected return of 5.0E-4%. The firm shows a Beta (market volatility) of -0.99, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Digital Health are expected to decrease slowly. On the other hand, during market turmoil, Digital Health is expected to outperform it slightly. Digital Health Acqui right now shows a risk of 2.44%. Please confirm Digital Health Acqui standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Digital Health Acqui will be following its price patterns.
Auto-correlation | -0.44 |
Modest reverse predictability
Digital Health Acquisition has modest reverse predictability. Overlapping area represents the amount of predictability between Digital Health time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Digital Health Acqui price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Digital Health price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Digital Health Acqui lagged returns against current returns
Autocorrelation, which is Digital Health 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 Health's stock expected returns. We can calculate the autocorrelation of Digital Health returns to help us make a trade decision. For example, suppose you find that Digital Health 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 Health 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 Health stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digital Health stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digital Health stock over time.
Current vs Lagged Prices |
| Timeline |
Digital Health Lagged Returns
When evaluating Digital Health's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digital Health stock have on its future price. Digital Health 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 Health autocorrelation shows the relationship between Digital Health stock current value and its past values and can show if there is a momentum factor associated with investing in Digital Health Acquisition.
Regressed Prices |
| Timeline |
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 Health 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 Health's short interest history, or implied volatility extrapolated from Digital Health options trading.
Pair Trading with Digital Health
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 Health 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 Health will appreciate offsetting losses from the drop in the long position's value.Moving against Digital Stock
| 0.57 | BN | Brookfield Corp | PairCorr |
| 0.55 | BLK | BlackRock Financial Report 12th of July 2024 | PairCorr |
| 0.5 | BAM | Brookfield Asset Man Financial Report 8th of May 2024 | PairCorr |
| 0.48 | TPG | TPG Inc Financial Report 20th of May 2024 | PairCorr |
| 0.45 | ARES | Ares Management LP Earnings Call Next Week | PairCorr |
The ability to find closely correlated positions to Digital Health 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 Health 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 Health - 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 Health Acquisition to buy it.
The correlation of Digital Health 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 Health moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digital Health Acqui 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 Health 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 Health Correlation, Digital Health Volatility and Digital Health Alpha and Beta module to complement your research on Digital Health. Note that the Digital Health Acqui information on this page should be used as a complementary analysis to other Digital Health's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Digital Stock analysis
When running Digital Health's price analysis, check to measure Digital Health'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 Health is operating at the current time. Most of Digital Health's value examination focuses on studying past and present price action to predict the probability of Digital Health'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 Health's price. Additionally, you may evaluate how the addition of Digital Health to your portfolios can decrease your overall portfolio volatility.
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Digital Health 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.