Xpo Logistics Stock Market Value
| XPO Stock | USD 148.97 0.72 0.48% |
| Symbol | XPO |
XPO Logistics Price To Book Ratio
Is Air Freight & Logistics 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 XPO Logistics. If investors know XPO 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 XPO Logistics 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 0.123 | Earnings Share 3.08 | Revenue Per Share 69.741 | Quarterly Revenue Growth 0.037 | Return On Assets 0.0632 |
The market value of XPO Logistics is measured differently than its book value, which is the value of XPO that is recorded on the company's balance sheet. Investors also form their own opinion of XPO Logistics' value that differs from its market value or its book value, called intrinsic value, which is XPO Logistics' 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 XPO Logistics' market value can be influenced by many factors that don't directly affect XPO Logistics' 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 XPO Logistics' value and its price as these two are different measures arrived at by different means. Investors typically determine if XPO Logistics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, XPO Logistics' 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.
XPO Logistics '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 XPO Logistics' 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 XPO Logistics.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in XPO Logistics on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding XPO Logistics or generate 0.0% return on investment in XPO Logistics over 30 days. XPO Logistics is related to or competes with Knight Transportation, Schneider National, Heartland Express, Saia, ArcBest Corp, Werner Enterprises, and Marten Transport. XPO Logistics, Inc. provides freight transportation services in the United States, rest of North America, France, the Un... More
XPO Logistics 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 XPO Logistics' 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 XPO Logistics upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.47 | |||
| Information Ratio | 0.0738 | |||
| Maximum Drawdown | 14.01 | |||
| Value At Risk | (2.75) | |||
| Potential Upside | 4.34 |
XPO Logistics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for XPO Logistics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as XPO Logistics' standard deviation. In reality, there are many statistical measures that can use XPO Logistics historical prices to predict the future XPO Logistics' volatility.| Risk Adjusted Performance | 0.0986 | |||
| Jensen Alpha | 0.1189 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0865 | |||
| Treynor Ratio | 0.1875 |
XPO Logistics Backtested Returns
XPO Logistics appears to be very steady, given 3 months investment horizon. XPO Logistics shows Sharpe Ratio of 0.14, which attests that the company had a 0.14% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for XPO Logistics, which you can use to evaluate the volatility of the company. Please utilize XPO Logistics' Downside Deviation of 2.47, mean deviation of 1.97, and Risk Adjusted Performance of 0.0986 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, XPO Logistics holds a performance score of 10. The firm maintains a market beta of 1.78, which attests to 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, XPO Logistics will likely underperform. Please check XPO Logistics' downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to make a quick decision on whether XPO Logistics' historical returns will revert.
Auto-correlation | -0.37 |
Poor reverse predictability
XPO Logistics has poor reverse predictability. Overlapping area represents the amount of predictability between XPO Logistics time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 XPO Logistics price movement. The serial correlation of -0.37 indicates that just about 37.0% of current XPO Logistics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 8.32 |
XPO Logistics lagged returns against current returns
Autocorrelation, which is XPO Logistics 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 XPO Logistics' stock expected returns. We can calculate the autocorrelation of XPO Logistics returns to help us make a trade decision. For example, suppose you find that XPO Logistics 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 |
XPO Logistics 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 XPO Logistics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if XPO Logistics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in XPO Logistics stock over time.
Current vs Lagged Prices |
| Timeline |
XPO Logistics Lagged Returns
When evaluating XPO Logistics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of XPO Logistics stock have on its future price. XPO Logistics 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, XPO Logistics autocorrelation shows the relationship between XPO Logistics stock current value and its past values and can show if there is a momentum factor associated with investing in XPO Logistics.
Regressed Prices |
| Timeline |
Pair Trading with XPO Logistics
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if XPO Logistics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in XPO Logistics will appreciate offsetting losses from the drop in the long position's value.Moving together with XPO Stock
| 0.77 | VLRS | Volaris | PairCorr |
| 0.87 | WERN | Werner Enterprises | PairCorr |
| 0.77 | AAL | American Airlines Fiscal Year End 23rd of January 2025 | PairCorr |
Moving against XPO Stock
| 0.76 | CP | Canadian Pacific Railway | PairCorr |
| 0.67 | CNI | Canadian National Railway Fiscal Year End 28th of January 2025 | PairCorr |
| 0.54 | FLYX | flyExclusive, | PairCorr |
| 0.43 | UNP | Union Pacific Fiscal Year End 23rd of January 2025 | PairCorr |
The ability to find closely correlated positions to XPO Logistics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace XPO Logistics when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back XPO Logistics - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling XPO Logistics to buy it.
The correlation of XPO Logistics is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as XPO Logistics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if XPO Logistics moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for XPO Logistics can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out XPO Logistics Correlation, XPO Logistics Volatility and XPO Logistics Alpha and Beta module to complement your research on XPO Logistics. To learn how to invest in XPO Stock, please use our How to Invest in XPO Logistics guide.You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
XPO Logistics 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.