Moleculin Biotech Stock Market Value
| MBRX Stock | USD 4.78 0.08 1.70% |
| Symbol | Moleculin |
Moleculin Biotech Price To Book Ratio
Is Moleculin Biotech's industry 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 Moleculin Biotech. If investors know Moleculin 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 Moleculin Biotech listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (15.15) | Return On Assets (0.39) | Return On Equity (0.76) |
The market value of Moleculin Biotech is measured differently than its book value, which is the value of Moleculin that is recorded on the company's balance sheet. Investors also form their own opinion of Moleculin Biotech's value that differs from its market value or its book value, called intrinsic value, which is Moleculin Biotech'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 Moleculin Biotech's market value can be influenced by many factors that don't directly affect Moleculin Biotech'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 Moleculin Biotech's value and its price as these two are different measures arrived at by different means. Investors typically determine if Moleculin Biotech is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Moleculin Biotech'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.
Moleculin Biotech '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 Moleculin Biotech'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 Moleculin Biotech.
| 04/09/2024 |
| 05/09/2024 |
If you would invest 0.00 in Moleculin Biotech on April 9, 2024 and sell it all today you would earn a total of 0.00 from holding Moleculin Biotech or generate 0.0% return on investment in Moleculin Biotech over 30 days. Moleculin Biotech is related to or competes with Pulmatrix, Cyclacel Pharmaceuticals, Akari Therapeutics, Bio Path, AN2 Therapeutics, Inhibikase TherapeuticsInc, and Pmv PharmaceuticalsI. Moleculin Biotech, Inc., a clinical-stage pharmaceutical company, focuses on the development of drug candidates for the ... More
Moleculin Biotech 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 Moleculin Biotech'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 Moleculin Biotech upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 32.38 | |||
| Value At Risk | (10.86) | |||
| Potential Upside | 9.14 |
Moleculin Biotech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Moleculin Biotech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Moleculin Biotech's standard deviation. In reality, there are many statistical measures that can use Moleculin Biotech historical prices to predict the future Moleculin Biotech's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (1.20) | |||
| Treynor Ratio | 0.5541 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Moleculin Biotech's 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.
Moleculin Biotech Backtested Returns
Moleculin Biotech has Sharpe Ratio of -0.0913, which conveys that the firm had a -0.0913% return per unit of risk over the last 3 months. Moleculin Biotech exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Moleculin Biotech's Risk Adjusted Performance of (0.03), mean deviation of 4.32, and Standard Deviation of 6.11 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.78, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Moleculin Biotech are expected to decrease at a much lower rate. During the bear market, Moleculin Biotech is likely to outperform the market. Moleculin Biotech has an expected return of -0.57%. Please make sure to verify Moleculin Biotech information ratio, skewness, as well as the relationship between the Skewness and day typical price , to decide if Moleculin Biotech performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.88 |
Excellent reverse predictability
Moleculin Biotech has excellent reverse predictability. Overlapping area represents the amount of predictability between Moleculin Biotech time series from 9th of April 2024 to 24th of April 2024 and 24th of April 2024 to 9th of May 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 Moleculin Biotech price movement. The serial correlation of -0.88 indicates that approximately 88.0% of current Moleculin Biotech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.88 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Moleculin Biotech lagged returns against current returns
Autocorrelation, which is Moleculin Biotech 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 Moleculin Biotech's stock expected returns. We can calculate the autocorrelation of Moleculin Biotech returns to help us make a trade decision. For example, suppose you find that Moleculin Biotech 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 |
Moleculin Biotech 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 Moleculin Biotech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Moleculin Biotech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Moleculin Biotech stock over time.
Current vs Lagged Prices |
| Timeline |
Moleculin Biotech Lagged Returns
When evaluating Moleculin Biotech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Moleculin Biotech stock have on its future price. Moleculin Biotech 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, Moleculin Biotech autocorrelation shows the relationship between Moleculin Biotech stock current value and its past values and can show if there is a momentum factor associated with investing in Moleculin Biotech.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Moleculin Biotech in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Moleculin Biotech's short interest history, or implied volatility extrapolated from Moleculin Biotech options trading.
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When running Moleculin Biotech's price analysis, check to measure Moleculin Biotech's 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 Moleculin Biotech is operating at the current time. Most of Moleculin Biotech's value examination focuses on studying past and present price action to predict the probability of Moleculin Biotech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Moleculin Biotech's price. Additionally, you may evaluate how the addition of Moleculin Biotech to your portfolios can decrease your overall portfolio volatility.
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Moleculin Biotech 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.