Commercial Vehicle Group Stock Market Value
| CVGI Stock | USD 6.18 0.03 0.49% |
| Symbol | Commercial |
Commercial Vehicle Price To Book Ratio
Is Commercial Vehicle's industry 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 Commercial Vehicle. If investors know Commercial 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 Commercial Vehicle 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 1.011 | Earnings Share 1.47 | Revenue Per Share 30.105 | Quarterly Revenue Growth (0.05) | Return On Assets 0.0647 |
The market value of Commercial Vehicle is measured differently than its book value, which is the value of Commercial that is recorded on the company's balance sheet. Investors also form their own opinion of Commercial Vehicle's value that differs from its market value or its book value, called intrinsic value, which is Commercial Vehicle'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 Commercial Vehicle's market value can be influenced by many factors that don't directly affect Commercial Vehicle'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 Commercial Vehicle's value and its price as these two are different measures arrived at by different means. Investors typically determine if Commercial Vehicle is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Commercial Vehicle'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.
Commercial Vehicle '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 Commercial Vehicle'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 Commercial Vehicle.
| 03/28/2024 |
| 04/27/2024 |
If you would invest 0.00 in Commercial Vehicle on March 28, 2024 and sell it all today you would earn a total of 0.00 from holding Commercial Vehicle Group or generate 0.0% return on investment in Commercial Vehicle over 30 days. Commercial Vehicle is related to or competes with Motorcar Parts, Monro Muffler, Stoneridge, Superior Industries, Dorman Products, Standard, and Cooper Stnd. Commercial Vehicle Group, Inc., together with its subsidiaries, designs, manufactures, produces, and sells components an... More
Commercial Vehicle 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 Commercial Vehicle'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 Commercial Vehicle Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.78 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 3.37 |
Commercial Vehicle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Commercial Vehicle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Commercial Vehicle's standard deviation. In reality, there are many statistical measures that can use Commercial Vehicle historical prices to predict the future Commercial Vehicle's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 0.1483 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Commercial Vehicle'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.
Commercial Vehicle Backtested Returns
Commercial Vehicle secures Sharpe Ratio (or Efficiency) of -0.0434, which signifies that the company had a -0.0434% return per unit of risk over the last 3 months. Commercial Vehicle Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Commercial Vehicle's Standard Deviation of 2.37, mean deviation of 1.72, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.49, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Commercial Vehicle are expected to decrease at a much lower rate. During the bear market, Commercial Vehicle is likely to outperform the market. Commercial Vehicle has an expected return of -0.1%. Please make sure to confirm Commercial Vehicle treynor ratio, as well as the relationship between the kurtosis and day median price , to decide if Commercial Vehicle performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.69 |
Good predictability
Commercial Vehicle Group has good predictability. Overlapping area represents the amount of predictability between Commercial Vehicle time series from 28th of March 2024 to 12th of April 2024 and 12th of April 2024 to 27th of April 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 Commercial Vehicle price movement. The serial correlation of 0.69 indicates that around 69.0% of current Commercial Vehicle price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Commercial Vehicle lagged returns against current returns
Autocorrelation, which is Commercial Vehicle 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 Commercial Vehicle's stock expected returns. We can calculate the autocorrelation of Commercial Vehicle returns to help us make a trade decision. For example, suppose you find that Commercial Vehicle 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 |
Commercial Vehicle 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 Commercial Vehicle stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Commercial Vehicle stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Commercial Vehicle stock over time.
Current vs Lagged Prices |
| Timeline |
Commercial Vehicle Lagged Returns
When evaluating Commercial Vehicle's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Commercial Vehicle stock have on its future price. Commercial Vehicle 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, Commercial Vehicle autocorrelation shows the relationship between Commercial Vehicle stock current value and its past values and can show if there is a momentum factor associated with investing in Commercial Vehicle Group.
Regressed Prices |
| Timeline |
Pair Trading with Commercial Vehicle
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 Commercial Vehicle 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 Commercial Vehicle will appreciate offsetting losses from the drop in the long position's value.Moving together with Commercial Stock
| 0.66 | FBYD | Falcons Beyond Global | PairCorr |
Moving against Commercial Stock
| 0.61 | MLR | Miller Industries | PairCorr |
| 0.57 | MMM | 3M Company Financial Report 23rd of July 2024 | PairCorr |
| 0.52 | WAB | Westinghouse Air Brake | PairCorr |
| 0.46 | ALSN | Allison Transmission Downward Rally | PairCorr |
| 0.42 | RAIL | Freightcar America Financial Report 14th of May 2024 | PairCorr |
The ability to find closely correlated positions to Commercial Vehicle could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Commercial Vehicle 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 Commercial Vehicle - 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 Commercial Vehicle Group to buy it.
The correlation of Commercial Vehicle 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 Commercial Vehicle moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Commercial Vehicle 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 Commercial Vehicle 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 Commercial Vehicle Correlation, Commercial Vehicle Volatility and Commercial Vehicle Alpha and Beta module to complement your research on Commercial Vehicle. Note that the Commercial Vehicle information on this page should be used as a complementary analysis to other Commercial Vehicle's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Complementary Tools for Commercial Stock analysis
When running Commercial Vehicle's price analysis, check to measure Commercial Vehicle'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 Commercial Vehicle is operating at the current time. Most of Commercial Vehicle's value examination focuses on studying past and present price action to predict the probability of Commercial Vehicle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Commercial Vehicle's price. Additionally, you may evaluate how the addition of Commercial Vehicle to your portfolios can decrease your overall portfolio volatility.
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |
Commercial Vehicle 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.