Rumble Inc Stock Market Value
RUM Stock | USD 7.11 0.23 3.34% |
Symbol | Rumble |
Rumble Inc Price To Book Ratio
Is Interactive Media & Services 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 Rumble. If investors know Rumble 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 Rumble listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.65) | Revenue Per Share 0.388 | Quarterly Revenue Growth (0.10) | Return On Assets (0.31) | Return On Equity (0.52) |
The market value of Rumble Inc is measured differently than its book value, which is the value of Rumble that is recorded on the company's balance sheet. Investors also form their own opinion of Rumble's value that differs from its market value or its book value, called intrinsic value, which is Rumble'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 Rumble's market value can be influenced by many factors that don't directly affect Rumble'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 Rumble's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rumble is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rumble'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.
Rumble '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 Rumble'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 Rumble.
11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Rumble on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Rumble Inc or generate 0.0% return on investment in Rumble over 30 days. Rumble is related to or competes with Marin Software, AMTD Digital, C3 Ai, CXApp, HeartCore Enterprises, Beamr Imaging, and Unity Software. The company operates rumble.com, a platform that enables video creators to host, livestream, manage, distribute, and cre... More
Rumble 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 Rumble'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 Rumble Inc upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.87 | |||
Information Ratio | 0.0629 | |||
Maximum Drawdown | 27.96 | |||
Value At Risk | (5.27) | |||
Potential Upside | 8.96 |
Rumble Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rumble's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rumble's standard deviation. In reality, there are many statistical measures that can use Rumble historical prices to predict the future Rumble's volatility.Risk Adjusted Performance | 0.076 | |||
Jensen Alpha | 0.1969 | |||
Total Risk Alpha | (0.31) | |||
Sortino Ratio | 0.0793 | |||
Treynor Ratio | 0.2145 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Rumble'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.
Rumble Inc Backtested Returns
Rumble appears to be slightly risky, given 3 months investment horizon. Rumble Inc maintains Sharpe Ratio (i.e., Efficiency) of 0.0919, which implies the firm had a 0.0919% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Rumble Inc, which you can use to evaluate the volatility of the company. Please evaluate Rumble's Semi Deviation of 3.7, risk adjusted performance of 0.076, and Coefficient Of Variation of 1131.61 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Rumble holds a performance score of 7. The company holds a Beta of 1.97, 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, Rumble will likely underperform. Please check Rumble's value at risk, as well as the relationship between the kurtosis and price action indicator , to make a quick decision on whether Rumble's historical price patterns will revert.
Auto-correlation | 0.41 |
Average predictability
Rumble Inc has average predictability. Overlapping area represents the amount of predictability between Rumble time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Rumble Inc price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Rumble price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.41 | |
Spearman Rank Test | -0.05 | |
Residual Average | 0.0 | |
Price Variance | 0.35 |
Rumble Inc lagged returns against current returns
Autocorrelation, which is Rumble 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 Rumble's stock expected returns. We can calculate the autocorrelation of Rumble returns to help us make a trade decision. For example, suppose you find that Rumble 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 |
Rumble 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 Rumble stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rumble stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rumble stock over time.
Current vs Lagged Prices |
Timeline |
Rumble Lagged Returns
When evaluating Rumble's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rumble stock have on its future price. Rumble 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, Rumble autocorrelation shows the relationship between Rumble stock current value and its past values and can show if there is a momentum factor associated with investing in Rumble Inc.
Regressed Prices |
Timeline |
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Rumble 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.