Pulmatrix Stock Market Value
| PULM Stock | USD 6.64 0.70 9.54% |
| Symbol | Pulmatrix |
Pulmatrix Price To Book Ratio
Is Pharmaceuticals 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 Pulmatrix. If investors know Pulmatrix 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 Pulmatrix listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.64) | Revenue Per Share 3.119 | Quarterly Revenue Growth (0.16) | Return On Assets (0.30) | Return On Equity (0.59) |
The market value of Pulmatrix is measured differently than its book value, which is the value of Pulmatrix that is recorded on the company's balance sheet. Investors also form their own opinion of Pulmatrix's value that differs from its market value or its book value, called intrinsic value, which is Pulmatrix'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 Pulmatrix's market value can be influenced by many factors that don't directly affect Pulmatrix'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 Pulmatrix's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pulmatrix is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pulmatrix'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.
Pulmatrix '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 Pulmatrix'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 Pulmatrix.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Pulmatrix on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Pulmatrix or generate 0.0% return on investment in Pulmatrix over 180 days. Pulmatrix is related to or competes with Capricor Therapeutics, Akari Therapeutics, Soleno Therapeutics, Bio Path, Moleculin Biotech, Crinetics Pharmaceuticals, and Assembly Biosciences. Pulmatrix, Inc., a clinical stage biotechnology company, discovers and develops inhaled therapies to prevent and treat r... More
Pulmatrix 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 Pulmatrix'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 Pulmatrix upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.78 | |||
| Information Ratio | 0.1842 | |||
| Maximum Drawdown | 92.85 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 16.69 |
Pulmatrix Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pulmatrix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pulmatrix's standard deviation. In reality, there are many statistical measures that can use Pulmatrix historical prices to predict the future Pulmatrix's volatility.| Risk Adjusted Performance | 0.1591 | |||
| Jensen Alpha | 2.4 | |||
| Total Risk Alpha | 0.3312 | |||
| Sortino Ratio | 0.4544 | |||
| Treynor Ratio | (3.02) |
Pulmatrix Backtested Returns
Pulmatrix is very risky given 3 months investment horizon. Pulmatrix maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2% return per unit of risk over the last 3 months. We were able to break down and interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 2.41% are justified by taking the suggested risk. Use Pulmatrix Coefficient Of Variation of 510.58, semi deviation of 3.56, and Risk Adjusted Performance of 0.1591 to evaluate company specific risk that cannot be diversified away. Pulmatrix holds a performance score of 15 on a scale of zero to a hundred. The company holds a Beta of -0.76, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Pulmatrix are expected to decrease at a much lower rate. During the bear market, Pulmatrix is likely to outperform the market. Use Pulmatrix expected short fall, and the relationship between the maximum drawdown and rate of daily change , to analyze future returns on Pulmatrix.
Auto-correlation | -0.05 |
Very weak reverse predictability
Pulmatrix has very weak reverse predictability. Overlapping area represents the amount of predictability between Pulmatrix time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Pulmatrix price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Pulmatrix price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 2.47 |
Pulmatrix lagged returns against current returns
Autocorrelation, which is Pulmatrix 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 Pulmatrix's stock expected returns. We can calculate the autocorrelation of Pulmatrix returns to help us make a trade decision. For example, suppose you find that Pulmatrix 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 |
Pulmatrix 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 Pulmatrix stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pulmatrix stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pulmatrix stock over time.
Current vs Lagged Prices |
| Timeline |
Pulmatrix Lagged Returns
When evaluating Pulmatrix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pulmatrix stock have on its future price. Pulmatrix 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, Pulmatrix autocorrelation shows the relationship between Pulmatrix stock current value and its past values and can show if there is a momentum factor associated with investing in Pulmatrix.
Regressed Prices |
| Timeline |
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Pulmatrix 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.