Dana Inc Stock Market Value
| DAN Stock | USD 8.28 0.32 4.02% |
| Symbol | Dana |
Dana Inc Price To Book Ratio
Is Automotive Parts & Equipment 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 Dana. If investors know Dana 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 Dana 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) | Dividend Share 0.4 | Earnings Share (0.11) | Revenue Per Share 72.058 | Quarterly Revenue Growth (0.07) |
The market value of Dana Inc is measured differently than its book value, which is the value of Dana that is recorded on the company's balance sheet. Investors also form their own opinion of Dana's value that differs from its market value or its book value, called intrinsic value, which is Dana'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 Dana's market value can be influenced by many factors that don't directly affect Dana'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 Dana's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dana is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dana'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.
Dana '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 Dana'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 Dana.
| 12/02/2022 |
| 11/21/2024 |
If you would invest 0.00 in Dana on December 2, 2022 and sell it all today you would earn a total of 0.00 from holding Dana Inc or generate 0.0% return on investment in Dana over 720 days. Dana is related to or competes with Lear, Autoliv, Commercial Vehicle, Adient PLC, Gentex, Fox Factory, and Cooper Stnd. Dana Incorporated provides power-conveyance and energy-management solutions for vehicles and machinery in North America,... More
Dana 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 Dana'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 Dana Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 22.77 | |||
| Value At Risk | (5.70) | |||
| Potential Upside | 3.88 |
Dana Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dana's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dana's standard deviation. In reality, there are many statistical measures that can use Dana historical prices to predict the future Dana's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (0.78) | |||
| Treynor Ratio | (0.14) |
Dana Inc Backtested Returns
Dana Inc secures Sharpe Ratio (or Efficiency) of -0.1, which denotes the company had a -0.1% return per unit of risk over the last 3 months. Dana Inc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dana's Standard Deviation of 3.56, variance of 12.7, and Mean Deviation of 2.52 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.62, which means 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, Dana will likely underperform. At this point, Dana Inc has a negative expected return of -0.37%. Please make sure to confirm Dana's value at risk, as well as the relationship between the accumulation distribution and day typical price , to decide if Dana Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.36 |
Below average predictability
Dana Inc has below average predictability. Overlapping area represents the amount of predictability between Dana time series from 2nd of December 2022 to 27th of November 2023 and 27th of November 2023 to 21st 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 Dana Inc price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Dana price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 2.17 |
Dana Inc lagged returns against current returns
Autocorrelation, which is Dana 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 Dana's stock expected returns. We can calculate the autocorrelation of Dana returns to help us make a trade decision. For example, suppose you find that Dana 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 |
Dana 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 Dana stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dana stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dana stock over time.
Current vs Lagged Prices |
| Timeline |
Dana Lagged Returns
When evaluating Dana's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dana stock have on its future price. Dana 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, Dana autocorrelation shows the relationship between Dana stock current value and its past values and can show if there is a momentum factor associated with investing in Dana Inc.
Regressed Prices |
| Timeline |
Pair Trading with Dana
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 Dana 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 Dana will appreciate offsetting losses from the drop in the long position's value.Moving together with Dana Stock
Moving against Dana Stock
| 0.78 | DORM | Dorman Products | PairCorr |
| 0.67 | GM | General Motors | PairCorr |
| 0.45 | WKHS | Workhorse Group | PairCorr |
| 0.38 | WKSP | Worksport | PairCorr |
| 0.34 | ZK | ZEEKR Intelligent | PairCorr |
The ability to find closely correlated positions to Dana could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dana 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 Dana - 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 Dana Inc to buy it.
The correlation of Dana 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 Dana moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dana Inc 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 Dana 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 Dana Correlation, Dana Volatility and Dana Alpha and Beta module to complement your research on Dana. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Dana 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.