Cross Country Healthcare Stock Market Value
| CCRN Stock | USD 10.87 0.53 5.13% |
| Symbol | Cross |
Cross Country Healthcare Price To Book Ratio
Is Health Care Providers & 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 Cross Country. If investors know Cross 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 Cross Country 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 (0.79) | Earnings Share (0.05) | Revenue Per Share 42.699 | Quarterly Revenue Growth (0.29) | Return On Assets 0.0127 |
The market value of Cross Country Healthcare is measured differently than its book value, which is the value of Cross that is recorded on the company's balance sheet. Investors also form their own opinion of Cross Country's value that differs from its market value or its book value, called intrinsic value, which is Cross Country'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 Cross Country's market value can be influenced by many factors that don't directly affect Cross Country'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 Cross Country's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cross Country is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cross Country'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.
Cross Country '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 Cross Country'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 Cross Country.
| 05/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in Cross Country on May 29, 2024 and sell it all today you would earn a total of 0.00 from holding Cross Country Healthcare or generate 0.0% return on investment in Cross Country over 180 days. Cross Country is related to or competes with ASGN, Kforce, Kelly Services, AMN Healthcare, and Central Garden. Cross Country Healthcare, Inc. provides talent management and other consultative services for healthcare clients in the ... More
Cross Country 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 Cross Country'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 Cross Country Healthcare upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 22.42 | |||
| Value At Risk | (6.60) | |||
| Potential Upside | 5.4 |
Cross Country Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cross Country's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cross Country's standard deviation. In reality, there are many statistical measures that can use Cross Country historical prices to predict the future Cross Country's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.01) | |||
| Treynor Ratio | (0.33) |
Cross Country Healthcare Backtested Returns
Cross Country Healthcare secures Sharpe Ratio (or Efficiency) of -0.14, which signifies that the company had a -0.14% return per unit of risk over the last 3 months. Cross Country Healthcare exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cross Country's Mean Deviation of 2.42, risk adjusted performance of (0.09), and Standard Deviation of 3.52 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.37, which signifies 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, Cross Country will likely underperform. At this point, Cross Country Healthcare has a negative expected return of -0.49%. Please make sure to confirm Cross Country's potential upside, as well as the relationship between the rate of daily change and relative strength index , to decide if Cross Country Healthcare performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.26 |
Weak reverse predictability
Cross Country Healthcare has weak reverse predictability. Overlapping area represents the amount of predictability between Cross Country time series from 29th of May 2024 to 27th of August 2024 and 27th of August 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 Cross Country Healthcare price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Cross Country price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 2.26 |
Cross Country Healthcare lagged returns against current returns
Autocorrelation, which is Cross Country 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 Cross Country's stock expected returns. We can calculate the autocorrelation of Cross Country returns to help us make a trade decision. For example, suppose you find that Cross Country 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 |
Cross Country 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 Cross Country stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cross Country stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cross Country stock over time.
Current vs Lagged Prices |
| Timeline |
Cross Country Lagged Returns
When evaluating Cross Country's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cross Country stock have on its future price. Cross Country 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, Cross Country autocorrelation shows the relationship between Cross Country stock current value and its past values and can show if there is a momentum factor associated with investing in Cross Country Healthcare.
Regressed Prices |
| Timeline |
Pair Trading with Cross Country
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 Cross Country 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 Cross Country will appreciate offsetting losses from the drop in the long position's value.Moving together with Cross Stock
Moving against Cross Stock
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| 0.84 | MD | Mednax Inc | PairCorr |
| 0.79 | DOCS | Doximity | PairCorr |
| 0.72 | VREX | Varex Imaging Corp | PairCorr |
The ability to find closely correlated positions to Cross Country could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cross Country 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 Cross Country - 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 Cross Country Healthcare to buy it.
The correlation of Cross Country 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 Cross Country moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cross Country Healthcare 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 Cross Country 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 Cross Country Correlation, Cross Country Volatility and Cross Country Alpha and Beta module to complement your research on Cross Country. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Cross Country 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.