Roadrunner Transportation Systems Stock Market Value
| RRTS Stock | USD 2.77 0.11 3.82% |
| Symbol | Roadrunner |
Roadrunner Transportation '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 Roadrunner Transportation's pink sheet 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 Roadrunner Transportation.
| 01/08/2024 |
| 12/28/2025 |
If you would invest 0.00 in Roadrunner Transportation on January 8, 2024 and sell it all today you would earn a total of 0.00 from holding Roadrunner Transportation Systems or generate 0.0% return on investment in Roadrunner Transportation over 720 days. Roadrunner Transportation is related to or competes with Hexagon Purus, Pricer AB, Kingsmen Creatives, United Express, FlooidCX Corp, Burnham Holdings, and Risk George. Roadrunner Transportation Systems, Inc. provides asset-right transportation and asset-light logistics services More
Roadrunner Transportation 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 Roadrunner Transportation's pink sheet 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 Roadrunner Transportation Systems upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.9 | |||
| Information Ratio | 0.092 | |||
| Maximum Drawdown | 21.35 | |||
| Value At Risk | (7.52) | |||
| Potential Upside | 9.0 |
Roadrunner Transportation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Roadrunner Transportation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Roadrunner Transportation's standard deviation. In reality, there are many statistical measures that can use Roadrunner Transportation historical prices to predict the future Roadrunner Transportation's volatility.| Risk Adjusted Performance | 0.0856 | |||
| Jensen Alpha | 0.5295 | |||
| Total Risk Alpha | 0.0028 | |||
| Sortino Ratio | 0.089 | |||
| Treynor Ratio | (2.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Roadrunner Transportation'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.
Roadrunner Transportation Backtested Returns
Roadrunner Transportation appears to be very risky, given 3 months investment horizon. Roadrunner Transportation maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the firm had a 0.11 % return per unit of risk over the last 3 months. By analyzing Roadrunner Transportation's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please evaluate Roadrunner Transportation's Semi Deviation of 3.39, risk adjusted performance of 0.0856, and Coefficient Of Variation of 909.69 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Roadrunner Transportation holds a performance score of 8. The company holds a Beta of -0.24, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Roadrunner Transportation are expected to decrease at a much lower rate. During the bear market, Roadrunner Transportation is likely to outperform the market. Please check Roadrunner Transportation's total risk alpha, as well as the relationship between the downside variance and rate of daily change , to make a quick decision on whether Roadrunner Transportation's historical price patterns will revert.
Auto-correlation | -0.02 |
Very weak reverse predictability
Roadrunner Transportation Systems has very weak reverse predictability. Overlapping area represents the amount of predictability between Roadrunner Transportation time series from 8th of January 2024 to 2nd of January 2025 and 2nd of January 2025 to 28th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Roadrunner Transportation price movement. The serial correlation of -0.02 indicates that only 2.0% of current Roadrunner Transportation price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.95 |
Roadrunner Transportation lagged returns against current returns
Autocorrelation, which is Roadrunner Transportation pink sheet'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 Roadrunner Transportation's pink sheet expected returns. We can calculate the autocorrelation of Roadrunner Transportation returns to help us make a trade decision. For example, suppose you find that Roadrunner Transportation has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Roadrunner Transportation 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 Roadrunner Transportation pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Roadrunner Transportation pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Roadrunner Transportation pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Roadrunner Transportation Lagged Returns
When evaluating Roadrunner Transportation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Roadrunner Transportation pink sheet have on its future price. Roadrunner Transportation 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, Roadrunner Transportation autocorrelation shows the relationship between Roadrunner Transportation pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Roadrunner Transportation Systems.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Roadrunner Pink Sheet Analysis
When running Roadrunner Transportation's price analysis, check to measure Roadrunner Transportation'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 Roadrunner Transportation is operating at the current time. Most of Roadrunner Transportation's value examination focuses on studying past and present price action to predict the probability of Roadrunner Transportation's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Roadrunner Transportation's price. Additionally, you may evaluate how the addition of Roadrunner Transportation to your portfolios can decrease your overall portfolio volatility.