Asset Entities Class Stock Market Value
| ASST Stock | 0.58 0.25 30.12% |
| Symbol | Asset |
Asset Entities Class Price To Book Ratio
Is Movies & Entertainment 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 Asset Entities. If investors know Asset 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 Asset Entities listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.92) | Revenue Per Share | Quarterly Revenue Growth 0.241 | Return On Assets | Return On Equity |
The market value of Asset Entities Class is measured differently than its book value, which is the value of Asset that is recorded on the company's balance sheet. Investors also form their own opinion of Asset Entities' value that differs from its market value or its book value, called intrinsic value, which is Asset Entities' 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 Asset Entities' market value can be influenced by many factors that don't directly affect Asset Entities' 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 Asset Entities' value and its price as these two are different measures arrived at by different means. Investors typically determine if Asset Entities is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Asset Entities' 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.
Asset Entities '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 Asset Entities' 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 Asset Entities.
| 01/01/2025 |
| 01/31/2025 |
If you would invest 0.00 in Asset Entities on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Asset Entities Class or generate 0.0% return on investment in Asset Entities over 30 days. Asset Entities is related to or competes with MediaAlpha, Yelp, BuzzFeed, Onfolio Holdings, Zhihu, IZEA, and Jiayin. Asset Entities is entity of United States More
Asset Entities 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 Asset Entities' 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 Asset Entities Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 10.58 | |||
| Information Ratio | 0.0184 | |||
| Maximum Drawdown | 117.71 | |||
| Value At Risk | (18.84) | |||
| Potential Upside | 23.21 |
Asset Entities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Asset Entities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Asset Entities' standard deviation. In reality, there are many statistical measures that can use Asset Entities historical prices to predict the future Asset Entities' volatility.| Risk Adjusted Performance | 0.0296 | |||
| Jensen Alpha | 0.2509 | |||
| Total Risk Alpha | (1.49) | |||
| Sortino Ratio | 0.0308 | |||
| Treynor Ratio | 0.2264 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Asset Entities' 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.
Asset Entities Class Backtested Returns
Asset Entities appears to be out of control, given 3 months investment horizon. Asset Entities Class secures Sharpe Ratio (or Efficiency) of 0.0428, which signifies that the company had a 0.0428 % return per unit of risk over the last 3 months. By analyzing Asset Entities' technical indicators, you can evaluate if the expected return of 0.8% is justified by implied risk. Please makes use of Asset Entities' Risk Adjusted Performance of 0.0296, mean deviation of 10.38, and Downside Deviation of 10.58 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Asset Entities holds a performance score of 3. The firm shows a Beta (market volatility) of 1.84, 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, Asset Entities will likely underperform. Please check Asset Entities' value at risk, as well as the relationship between the kurtosis and price action indicator , to make a quick decision on whether Asset Entities' price patterns will revert.
Auto-correlation | 0.12 |
Insignificant predictability
Asset Entities Class has insignificant predictability. Overlapping area represents the amount of predictability between Asset Entities time series from 1st of January 2025 to 16th of January 2025 and 16th of January 2025 to 31st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Asset Entities Class price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Asset Entities price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Asset Entities Class lagged returns against current returns
Autocorrelation, which is Asset Entities 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 Asset Entities' stock expected returns. We can calculate the autocorrelation of Asset Entities returns to help us make a trade decision. For example, suppose you find that Asset Entities 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 |
Asset Entities 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 Asset Entities stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Asset Entities stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Asset Entities stock over time.
Current vs Lagged Prices |
| Timeline |
Asset Entities Lagged Returns
When evaluating Asset Entities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Asset Entities stock have on its future price. Asset Entities 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, Asset Entities autocorrelation shows the relationship between Asset Entities stock current value and its past values and can show if there is a momentum factor associated with investing in Asset Entities Class.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Asset Stock Analysis
When running Asset Entities' price analysis, check to measure Asset Entities' 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 Asset Entities is operating at the current time. Most of Asset Entities' value examination focuses on studying past and present price action to predict the probability of Asset Entities' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Asset Entities' price. Additionally, you may evaluate how the addition of Asset Entities to your portfolios can decrease your overall portfolio volatility.