Old Dominion Freight Stock Market Value
ODFL Stock | USD 224.11 1.86 0.82% |
Symbol | Old |
Old Dominion Freight Price To Book Ratio
Is Cargo Ground Transportation 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 Old Dominion. If investors know Old 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 Old Dominion listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.07) | Dividend Share 0.98 | Earnings Share 5.67 | Revenue Per Share 27.363 | Quarterly Revenue Growth (0.03) |
The market value of Old Dominion Freight is measured differently than its book value, which is the value of Old that is recorded on the company's balance sheet. Investors also form their own opinion of Old Dominion's value that differs from its market value or its book value, called intrinsic value, which is Old Dominion'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 Old Dominion's market value can be influenced by many factors that don't directly affect Old Dominion'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 Old Dominion's value and its price as these two are different measures arrived at by different means. Investors typically determine if Old Dominion is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Old Dominion'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.
Old Dominion '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 Old Dominion'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 Old Dominion.
10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Old Dominion on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Old Dominion Freight or generate 0.0% return on investment in Old Dominion over 30 days. Old Dominion is related to or competes with ArcBest Corp, Marten Transport, Werner Enterprises, Knight Transportation, RXO, Saia, and Schneider National. Old Dominion Freight Line, Inc. operates as a less-than-truckload motor carrier in the United States and North America More
Old Dominion 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 Old Dominion'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 Old Dominion Freight upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.3 | |||
Information Ratio | 0.0566 | |||
Maximum Drawdown | 14.71 | |||
Value At Risk | (3.52) | |||
Potential Upside | 2.68 |
Old Dominion Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Old Dominion's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Old Dominion's standard deviation. In reality, there are many statistical measures that can use Old Dominion historical prices to predict the future Old Dominion's volatility.Risk Adjusted Performance | 0.0918 | |||
Jensen Alpha | 0.0214 | |||
Total Risk Alpha | (0.10) | |||
Sortino Ratio | 0.0566 | |||
Treynor Ratio | 0.1264 |
Old Dominion Freight Backtested Returns
Old Dominion appears to be very steady, given 3 months investment horizon. Old Dominion Freight 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. We have found twenty-nine technical indicators for Old Dominion Freight, which you can use to evaluate the volatility of the company. Please evaluate Old Dominion's Coefficient Of Variation of 900.33, semi deviation of 2.11, and Risk Adjusted Performance of 0.0918 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Old Dominion holds a performance score of 8. The company holds a Beta of 1.94, 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, Old Dominion will likely underperform. Please check Old Dominion's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Old Dominion's historical price patterns will revert.
Auto-correlation | 0.53 |
Modest predictability
Old Dominion Freight has modest predictability. Overlapping area represents the amount of predictability between Old Dominion time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Old Dominion Freight price movement. The serial correlation of 0.53 indicates that about 53.0% of current Old Dominion price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.53 | |
Spearman Rank Test | 0.6 | |
Residual Average | 0.0 | |
Price Variance | 24.66 |
Old Dominion Freight lagged returns against current returns
Autocorrelation, which is Old Dominion 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 Old Dominion's stock expected returns. We can calculate the autocorrelation of Old Dominion returns to help us make a trade decision. For example, suppose you find that Old Dominion 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 |
Old Dominion 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 Old Dominion stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Old Dominion stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Old Dominion stock over time.
Current vs Lagged Prices |
Timeline |
Old Dominion Lagged Returns
When evaluating Old Dominion's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Old Dominion stock have on its future price. Old Dominion 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, Old Dominion autocorrelation shows the relationship between Old Dominion stock current value and its past values and can show if there is a momentum factor associated with investing in Old Dominion Freight.
Regressed Prices |
Timeline |
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Old Dominion 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.