Rush Street Interactive Stock Market Value
| RSI Stock | USD 8.95 0.10 1.13% |
| Symbol | Rush |
Rush Street Interactive Price To Book Ratio
Is Rush Street'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 Rush Street. If investors know Rush 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 Rush Street listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.17) | Revenue Per Share 10.481 | Quarterly Revenue Growth 0.888 | Return On Assets (0.05) | Return On Equity (0.22) |
The market value of Rush Street Interactive is measured differently than its book value, which is the value of Rush that is recorded on the company's balance sheet. Investors also form their own opinion of Rush Street's value that differs from its market value or its book value, called intrinsic value, which is Rush Street'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 Rush Street's market value can be influenced by many factors that don't directly affect Rush Street'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 Rush Street's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rush Street is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rush Street'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.
Rush Street '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 Rush Street'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 Rush Street.
| 05/04/2024 |
| 06/03/2024 |
If you would invest 0.00 in Rush Street on May 4, 2024 and sell it all today you would earn a total of 0.00 from holding Rush Street Interactive or generate 0.0% return on investment in Rush Street over 30 days. Rush Street is related to or competes with Genius Sports, Gan, Ballys Corp, and Hims Hers. Rush Street Interactive, Inc. operates as an online casino and sports betting company in the United States and Latin Ame... More
Rush Street 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 Rush Street'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 Rush Street Interactive upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.76 | |||
| Information Ratio | 0.194 | |||
| Maximum Drawdown | 23.17 | |||
| Value At Risk | (3.08) | |||
| Potential Upside | 5.03 |
Rush Street Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rush Street's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rush Street's standard deviation. In reality, there are many statistical measures that can use Rush Street historical prices to predict the future Rush Street's volatility.| Risk Adjusted Performance | 0.137 | |||
| Jensen Alpha | 0.6872 | |||
| Total Risk Alpha | 0.5633 | |||
| Sortino Ratio | 0.2695 | |||
| Treynor Ratio | 0.2965 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Rush Street'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.
Rush Street Interactive Backtested Returns
Rush Street appears to be slightly risky, given 3 months investment horizon. Rush Street Interactive maintains Sharpe Ratio (i.e., Efficiency) of 0.24, which implies the firm had a 0.24% return per unit of risk over the last 3 months. By analyzing Rush Street's technical indicators, you can evaluate if the expected return of 0.91% is justified by implied risk. Please evaluate Rush Street's Semi Deviation of 2.15, coefficient of variation of 485.82, and Risk Adjusted Performance of 0.137 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Rush Street holds a performance score of 18. The company holds a Beta of 2.63, 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, Rush Street will likely underperform. Please check Rush Street's potential upside, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether Rush Street's historical price patterns will revert.
Auto-correlation | 0.39 |
Below average predictability
Rush Street Interactive has below average predictability. Overlapping area represents the amount of predictability between Rush Street time series from 4th of May 2024 to 19th of May 2024 and 19th of May 2024 to 3rd of June 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 Rush Street Interactive price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Rush Street price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Rush Street Interactive lagged returns against current returns
Autocorrelation, which is Rush Street 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 Rush Street's stock expected returns. We can calculate the autocorrelation of Rush Street returns to help us make a trade decision. For example, suppose you find that Rush Street 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 |
Rush Street 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 Rush Street stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rush Street stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rush Street stock over time.
Current vs Lagged Prices |
| Timeline |
Rush Street Lagged Returns
When evaluating Rush Street's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rush Street stock have on its future price. Rush Street 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, Rush Street autocorrelation shows the relationship between Rush Street stock current value and its past values and can show if there is a momentum factor associated with investing in Rush Street Interactive.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Rush Street Interactive offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Rush Street's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Rush Street Interactive Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Rush Street Interactive Stock:Check out Rush Street Correlation, Rush Street Volatility and Rush Street Alpha and Beta module to complement your research on Rush Street. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Complementary Tools for Rush Stock analysis
When running Rush Street's price analysis, check to measure Rush Street'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 Rush Street is operating at the current time. Most of Rush Street's value examination focuses on studying past and present price action to predict the probability of Rush Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rush Street's price. Additionally, you may evaluate how the addition of Rush Street to your portfolios can decrease your overall portfolio volatility.
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Rush Street 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.