Revolution Medicines Stock Market Value
| RVMD Stock | USD 57.08 0.30 0.53% |
| Symbol | Revolution |
Revolution Medicines 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 Revolution Medicines. If investors know Revolution 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 Revolution Medicines listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (3.66) | Revenue Per Share 0.005 | Quarterly Revenue Growth (0.95) | Return On Assets (0.29) | Return On Equity (0.47) |
The market value of Revolution Medicines is measured differently than its book value, which is the value of Revolution that is recorded on the company's balance sheet. Investors also form their own opinion of Revolution Medicines' value that differs from its market value or its book value, called intrinsic value, which is Revolution Medicines' 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 Revolution Medicines' market value can be influenced by many factors that don't directly affect Revolution Medicines' 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 Revolution Medicines' value and its price as these two are different measures arrived at by different means. Investors typically determine if Revolution Medicines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Revolution Medicines' 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.
Revolution Medicines '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 Revolution Medicines' 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 Revolution Medicines.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Revolution Medicines on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Revolution Medicines or generate 0.0% return on investment in Revolution Medicines over 30 days. Revolution Medicines is related to or competes with Lyra Therapeutics, Hookipa Pharma, SAB Biotherapeutics, Cadrenal Therapeutics,, Monopar Therapeutics, Spero Therapeutics, and Coherus BioSciences. Revolution Medicines, Inc., a clinical-stage precision oncology company, focuses on developing therapies to inhibit fron... More
Revolution Medicines 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 Revolution Medicines' 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 Revolution Medicines upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.57 | |||
| Information Ratio | 0.1028 | |||
| Maximum Drawdown | 10.95 | |||
| Value At Risk | (3.90) | |||
| Potential Upside | 4.81 |
Revolution Medicines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Revolution Medicines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Revolution Medicines' standard deviation. In reality, there are many statistical measures that can use Revolution Medicines historical prices to predict the future Revolution Medicines' volatility.| Risk Adjusted Performance | 0.1176 | |||
| Jensen Alpha | 0.2459 | |||
| Total Risk Alpha | 0.0277 | |||
| Sortino Ratio | 0.1038 | |||
| Treynor Ratio | 0.3019 |
Revolution Medicines Backtested Returns
Revolution Medicines appears to be very steady, given 3 months investment horizon. Revolution Medicines maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the firm had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Revolution Medicines, which you can use to evaluate the volatility of the company. Please evaluate Revolution Medicines' Coefficient Of Variation of 690.11, risk adjusted performance of 0.1176, and Semi Deviation of 2.2 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Revolution Medicines holds a performance score of 13. The company holds a Beta of 1.21, which implies 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, Revolution Medicines will likely underperform. Please check Revolution Medicines' kurtosis, and the relationship between the downside variance and day median price , to make a quick decision on whether Revolution Medicines' historical price patterns will revert.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Revolution Medicines has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Revolution Medicines time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Revolution Medicines price movement. The serial correlation of -0.74 indicates that around 74.0% of current Revolution Medicines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 3.54 |
Revolution Medicines lagged returns against current returns
Autocorrelation, which is Revolution Medicines 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 Revolution Medicines' stock expected returns. We can calculate the autocorrelation of Revolution Medicines returns to help us make a trade decision. For example, suppose you find that Revolution Medicines 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 |
Revolution Medicines 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 Revolution Medicines stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Revolution Medicines stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Revolution Medicines stock over time.
Current vs Lagged Prices |
| Timeline |
Revolution Medicines Lagged Returns
When evaluating Revolution Medicines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Revolution Medicines stock have on its future price. Revolution Medicines 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, Revolution Medicines autocorrelation shows the relationship between Revolution Medicines stock current value and its past values and can show if there is a momentum factor associated with investing in Revolution Medicines.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Revolution Medicines is a strong investment it is important to analyze Revolution Medicines' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Revolution Medicines' future performance. For an informed investment choice regarding Revolution Stock, refer to the following important reports:Check out Revolution Medicines Correlation, Revolution Medicines Volatility and Revolution Medicines Alpha and Beta module to complement your research on Revolution Medicines. For information on how to trade Revolution Stock refer to our How to Trade Revolution Stock guide.You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Revolution Medicines 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.