XPO Logistics (Germany) Alpha and Beta Analysis
| UX2A Stock | EUR 171.15 1.35 0.80% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as XPO Logistics. It also helps investors analyze the systematic and unsystematic risks associated with investing in XPO Logistics over a specified time horizon. Remember, high XPO Logistics' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to XPO Logistics' market risk premium analysis include:
Beta 1.74 | Alpha 0.48 | Risk 3.37 | Sharpe Ratio 0.22 | Expected Return 0.74 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
XPO |
XPO Logistics Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. XPO Logistics market risk premium is the additional return an investor will receive from holding XPO Logistics long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in XPO Logistics. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate XPO Logistics' performance over market.| α | 0.48 | β | 1.74 |
XPO Logistics expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of XPO Logistics' Buy-and-hold return. Our buy-and-hold chart shows how XPO Logistics performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.XPO Logistics Market Price Analysis
Market price analysis indicators help investors to evaluate how XPO Logistics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading XPO Logistics shares will generate the highest return on investment. By understating and applying XPO Logistics stock market price indicators, traders can identify XPO Logistics position entry and exit signals to maximize returns.
XPO Logistics Return and Market Media
The median price of XPO Logistics for the period between Sat, Nov 22, 2025 and Fri, Feb 20, 2026 is 123.25 with a coefficient of variation of 13.42. The daily time series for the period is distributed with a sample standard deviation of 17.36, arithmetic mean of 129.32, and mean deviation of 12.78. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | XPO Shares Down 4.1 percent - Heres What Happened - MarketBeat | 12/19/2025 |
2 | XPO Downgraded by Wolfe Research to Peer Perform XPO Stock New - GuruFocus | 01/08/2026 |
3 | Citizens Financial Group Inc. RI Invests 1.92 Million in XPO, Inc. XPO - MarketBeat | 01/14/2026 |
4 | Stifel Nicolaus Has Lowered Expectations for XPO Stock Price - MarketBeat | 01/21/2026 |
5 | XPO, Inc. XPO Shares Purchased by Cooke Bieler LP - MarketBeat | 01/26/2026 |
6 | XPO stock hits 52-week high at 156.08 USD - Investing.com | 02/02/2026 |
7 | Recovery in Manufacturing Boosts Industry Outlook, Logistics Giant XPOs Stock Price Soars Nearly 40 percent - NAI500 | 02/06/2026 |
8 | XPO, Inc. A Deep-Dive into the North American LTL Powerhouse - FinancialContent | 02/11/2026 |
9 | XPO Hits New High in Russell 1000 Indices - Kalkine Media | 02/18/2026 |
About XPO Logistics Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including XPO or other stocks. Alpha measures the amount that position in XPO Logistics has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards XPO Logistics in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, XPO Logistics' short interest history, or implied volatility extrapolated from XPO Logistics options trading.
Build Portfolio with XPO Logistics
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out XPO Logistics Analysis, XPO Logistics Valuation, XPO Logistics Correlation, XPO Logistics Hype Analysis, XPO Logistics Volatility, XPO Logistics Price History and analyze XPO Logistics Performance. For more detail on how to invest in XPO Stock please use our How to Invest in XPO Logistics guide.You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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.