Dorman Products Stock Market Value
DORM Stock | USD 127.59 2.30 1.84% |
Symbol | Dorman |
Dorman Products 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 Dorman Products. If investors know Dorman 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 Dorman Products 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 0.11 | Earnings Share 6.14 | Revenue Per Share | Quarterly Revenue Growth 0.08 | Return On Assets |
The market value of Dorman Products is measured differently than its book value, which is the value of Dorman that is recorded on the company's balance sheet. Investors also form their own opinion of Dorman Products' value that differs from its market value or its book value, called intrinsic value, which is Dorman Products' 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 Dorman Products' market value can be influenced by many factors that don't directly affect Dorman Products' 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 Dorman Products' value and its price as these two are different measures arrived at by different means. Investors typically determine if Dorman Products is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dorman Products' 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.
Dorman Products '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 Dorman Products' 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 Dorman Products.
12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Dorman Products on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Dorman Products or generate 0.0% return on investment in Dorman Products over 90 days. Dorman Products is related to or competes with Standard, Motorcar Parts, Douglas Dynamics, Stoneridge, Monro Muffler, Cooper Stnd, and Superior Industries. Dorman Products, Inc. supplies replacement parts and fasteners for passenger cars, light trucks, and medium- and heavy-d... More
Dorman Products 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 Dorman Products' 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 Dorman Products upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.01) | |||
Maximum Drawdown | 7.99 | |||
Value At Risk | (3.19) | |||
Potential Upside | 2.6 |
Dorman Products Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dorman Products' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dorman Products' standard deviation. In reality, there are many statistical measures that can use Dorman Products historical prices to predict the future Dorman Products' volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | 0.0789 | |||
Treynor Ratio | (0.15) |
Dorman Products Backtested Returns
Dorman Products secures Sharpe Ratio (or Efficiency) of -0.0446, which denotes the company had a -0.0446 % return per unit of risk over the last 3 months. Dorman Products exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dorman Products' Variance of 2.56, mean deviation of 1.23, and Standard Deviation of 1.6 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dorman Products' returns are expected to increase less than the market. However, during the bear market, the loss of holding Dorman Products is expected to be smaller as well. At this point, Dorman Products has a negative expected return of -0.0717%. Please make sure to confirm Dorman Products' skewness, as well as the relationship between the day median price and relative strength index , to decide if Dorman Products performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.30 |
Below average predictability
Dorman Products has below average predictability. Overlapping area represents the amount of predictability between Dorman Products time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Dorman Products price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Dorman Products price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.3 | |
Spearman Rank Test | -0.2 | |
Residual Average | 0.0 | |
Price Variance | 7.98 |
Dorman Products lagged returns against current returns
Autocorrelation, which is Dorman Products 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 Dorman Products' stock expected returns. We can calculate the autocorrelation of Dorman Products returns to help us make a trade decision. For example, suppose you find that Dorman Products 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 |
Dorman Products 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 Dorman Products stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dorman Products stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dorman Products stock over time.
Current vs Lagged Prices |
Timeline |
Dorman Products Lagged Returns
When evaluating Dorman Products' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dorman Products stock have on its future price. Dorman Products 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, Dorman Products autocorrelation shows the relationship between Dorman Products stock current value and its past values and can show if there is a momentum factor associated with investing in Dorman Products.
Regressed Prices |
Timeline |
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Dorman Products 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.