Hookipa Pharma Stock Market Value
| HOOK Stock | USD 2.52 0.04 1.61% |
| Symbol | Hookipa |
Hookipa Pharma 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 Hookipa Pharma. If investors know Hookipa 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 Hookipa Pharma listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (3.67) | Revenue Per Share 4.403 | Quarterly Revenue Growth (0.52) | Return On Assets (0.20) | Return On Equity (0.49) |
The market value of Hookipa Pharma is measured differently than its book value, which is the value of Hookipa that is recorded on the company's balance sheet. Investors also form their own opinion of Hookipa Pharma's value that differs from its market value or its book value, called intrinsic value, which is Hookipa Pharma'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 Hookipa Pharma's market value can be influenced by many factors that don't directly affect Hookipa Pharma'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 Hookipa Pharma's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hookipa Pharma is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hookipa Pharma'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.
Hookipa Pharma '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 Hookipa Pharma'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 Hookipa Pharma.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Hookipa Pharma on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Hookipa Pharma or generate 0.0% return on investment in Hookipa Pharma over 30 days. Hookipa Pharma is related to or competes with Mereo BioPharma, Terns Pharmaceuticals, PDS Biotechnology, Inozyme Pharma, Day One, Eledon Pharmaceuticals, and X4 Pharmaceuticals. HOOKIPA Pharma Inc., a clinical stage biopharmaceutical company, develops immunotherapeutics targeting infectious diseas... More
Hookipa Pharma 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 Hookipa Pharma'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 Hookipa Pharma upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 22.98 | |||
| Value At Risk | (6.67) | |||
| Potential Upside | 6.85 |
Hookipa Pharma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hookipa Pharma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hookipa Pharma's standard deviation. In reality, there are many statistical measures that can use Hookipa Pharma historical prices to predict the future Hookipa Pharma's volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (1.14) | |||
| Total Risk Alpha | (1.66) | |||
| Treynor Ratio | (1.07) |
Hookipa Pharma Backtested Returns
Hookipa Pharma holds Efficiency (Sharpe) Ratio of -0.26, which attests that the entity had a -0.26% return per unit of risk over the last 3 months. Hookipa Pharma exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hookipa Pharma's Risk Adjusted Performance of (0.19), standard deviation of 3.82, and Market Risk Adjusted Performance of (1.06) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.96, which attests to possible diversification benefits within a given portfolio. Hookipa Pharma returns are very sensitive to returns on the market. As the market goes up or down, Hookipa Pharma is expected to follow. At this point, Hookipa Pharma has a negative expected return of -1.02%. Please make sure to check out Hookipa Pharma's skewness, as well as the relationship between the day median price and relative strength index , to decide if Hookipa Pharma performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.06 |
Virtually no predictability
Hookipa Pharma has virtually no predictability. Overlapping area represents the amount of predictability between Hookipa Pharma time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Hookipa Pharma price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Hookipa Pharma price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Hookipa Pharma lagged returns against current returns
Autocorrelation, which is Hookipa Pharma 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 Hookipa Pharma's stock expected returns. We can calculate the autocorrelation of Hookipa Pharma returns to help us make a trade decision. For example, suppose you find that Hookipa Pharma 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 |
Hookipa Pharma 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 Hookipa Pharma stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hookipa Pharma stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hookipa Pharma stock over time.
Current vs Lagged Prices |
| Timeline |
Hookipa Pharma Lagged Returns
When evaluating Hookipa Pharma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hookipa Pharma stock have on its future price. Hookipa Pharma 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, Hookipa Pharma autocorrelation shows the relationship between Hookipa Pharma stock current value and its past values and can show if there is a momentum factor associated with investing in Hookipa Pharma.
Regressed Prices |
| Timeline |
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Hookipa Pharma 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.