Asana Inc Stock Market Value
| ASAN Stock | USD 14.72 0.79 5.67% |
| Symbol | Asana |
Asana Inc Price To Book Ratio
Is Systems Software 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 Asana. If investors know Asana 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 Asana listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.15) | Revenue Per Share 3.053 | Quarterly Revenue Growth 0.103 | Return On Assets (0.18) | Return On Equity (0.83) |
The market value of Asana Inc is measured differently than its book value, which is the value of Asana that is recorded on the company's balance sheet. Investors also form their own opinion of Asana's value that differs from its market value or its book value, called intrinsic value, which is Asana'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 Asana's market value can be influenced by many factors that don't directly affect Asana'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 Asana's value and its price as these two are different measures arrived at by different means. Investors typically determine if Asana is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Asana'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.
Asana '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 Asana'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 Asana.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in Asana on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Asana Inc or generate 0.0% return on investment in Asana over 30 days. Asana is related to or competes with Bill, Datadog, Gitlab, Atlassian Corp, ServiceNow, HubSpot, and Workday. Asana, Inc., together with its subsidiaries, operates a work management platform for individuals, team leads, and execut... More
Asana 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 Asana'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 Asana Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.75 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 10.82 | |||
| Value At Risk | (4.94) | |||
| Potential Upside | 4.46 |
Asana Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Asana's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Asana's standard deviation. In reality, there are many statistical measures that can use Asana historical prices to predict the future Asana's volatility.| Risk Adjusted Performance | 0.028 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0278 |
Asana Inc Backtested Returns
As of now, Asana Stock is not too volatile. Asana Inc secures Sharpe Ratio (or Efficiency) of 0.0461, which signifies that the company had a 0.0461% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Asana Inc, which you can use to evaluate the volatility of the firm. Please confirm Asana's mean deviation of 2.04, and Risk Adjusted Performance of 0.028 to double-check if the risk estimate we provide is consistent with the expected return of 0.13%. Asana has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 2.34, which signifies 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, Asana will likely underperform. Asana Inc right now shows a risk of 2.75%. Please confirm Asana Inc value at risk, daily balance of power, and the relationship between the total risk alpha and expected short fall , to decide if Asana Inc will be following its price patterns.
Auto-correlation | 0.23 |
Weak predictability
Asana Inc has weak predictability. Overlapping area represents the amount of predictability between Asana time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st 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 Asana Inc price movement. The serial correlation of 0.23 indicates that over 23.0% of current Asana price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Asana Inc lagged returns against current returns
Autocorrelation, which is Asana 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 Asana's stock expected returns. We can calculate the autocorrelation of Asana returns to help us make a trade decision. For example, suppose you find that Asana 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 |
Asana 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 Asana stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Asana stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Asana stock over time.
Current vs Lagged Prices |
| Timeline |
Asana Lagged Returns
When evaluating Asana's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Asana stock have on its future price. Asana 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, Asana autocorrelation shows the relationship between Asana stock current value and its past values and can show if there is a momentum factor associated with investing in Asana Inc.
Regressed Prices |
| Timeline |
Pair Trading with Asana
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 Asana 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 Asana will appreciate offsetting losses from the drop in the long position's value.Moving together with Asana Stock
Moving against Asana Stock
The ability to find closely correlated positions to Asana could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Asana 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 Asana - 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 Asana Inc to buy it.
The correlation of Asana 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 Asana moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Asana Inc 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 Asana 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 Asana Correlation, Asana Volatility and Asana Alpha and Beta module to complement your research on Asana. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Asana 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.