Apollomics Class A Stock Market Value
| APLM Stock | 9.56 0.06 0.63% |
| Symbol | Apollomics |
Apollomics Class A Price To Book Ratio
Is Biotechnology 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 Apollomics. If investors know Apollomics 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 Apollomics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.15) | Revenue Per Share | Quarterly Revenue Growth 2.623 | Return On Assets | Return On Equity |
The market value of Apollomics Class A is measured differently than its book value, which is the value of Apollomics that is recorded on the company's balance sheet. Investors also form their own opinion of Apollomics' value that differs from its market value or its book value, called intrinsic value, which is Apollomics' 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 Apollomics' market value can be influenced by many factors that don't directly affect Apollomics' 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 Apollomics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Apollomics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Apollomics' 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.
Apollomics '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 Apollomics' 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 Apollomics.
| 01/30/2023 |
| 01/19/2025 |
If you would invest 0.00 in Apollomics on January 30, 2023 and sell it all today you would earn a total of 0.00 from holding Apollomics Class A or generate 0.0% return on investment in Apollomics over 720 days. Apollomics is related to or competes with Amkor Technology, Arrow Electronics, Radcom, Uber Technologies, Constellation Brands, ServiceNow, and Philip Morris. Apollomics is entity of United States. It is traded as Stock on NASDAQ exchange. More
Apollomics 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 Apollomics' 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 Apollomics Class A upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.56 | |||
| Information Ratio | 0.0209 | |||
| Maximum Drawdown | 134.75 | |||
| Value At Risk | (15.46) | |||
| Potential Upside | 18.55 |
Apollomics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Apollomics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Apollomics' standard deviation. In reality, there are many statistical measures that can use Apollomics historical prices to predict the future Apollomics' volatility.| Risk Adjusted Performance | 0.0286 | |||
| Jensen Alpha | 0.3599 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.034 | |||
| Treynor Ratio | (0.46) |
Apollomics Class A Backtested Returns
Apollomics appears to be risky, given 3 months investment horizon. Apollomics Class A secures Sharpe Ratio (or Efficiency) of 0.0229, which signifies that the company had a 0.0229% return per unit of risk over the last 3 months. We have found thirty technical indicators for Apollomics Class A, which you can use to evaluate the volatility of the firm. Please makes use of Apollomics' Mean Deviation of 7.83, downside deviation of 9.56, and Risk Adjusted Performance of 0.0286 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Apollomics holds a performance score of 1. The firm shows a Beta (market volatility) of -0.75, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Apollomics are expected to decrease at a much lower rate. During the bear market, Apollomics is likely to outperform the market. Please check Apollomics' semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Apollomics' price patterns will revert.
Auto-correlation | 0.80 |
Very good predictability
Apollomics Class A has very good predictability. Overlapping area represents the amount of predictability between Apollomics time series from 30th of January 2023 to 25th of January 2024 and 25th of January 2024 to 19th 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 Apollomics Class A price movement. The serial correlation of 0.8 indicates that around 80.0% of current Apollomics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 515.05 |
Apollomics Class A lagged returns against current returns
Autocorrelation, which is Apollomics 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 Apollomics' stock expected returns. We can calculate the autocorrelation of Apollomics returns to help us make a trade decision. For example, suppose you find that Apollomics 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 |
Apollomics 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 Apollomics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Apollomics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Apollomics stock over time.
Current vs Lagged Prices |
| Timeline |
Apollomics Lagged Returns
When evaluating Apollomics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Apollomics stock have on its future price. Apollomics 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, Apollomics autocorrelation shows the relationship between Apollomics stock current value and its past values and can show if there is a momentum factor associated with investing in Apollomics Class A.
Regressed Prices |
| Timeline |
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Apollomics 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.