Distribution Solutions Group Stock Market Value
| DSGR Stock | USD 28.55 0.21 0.73% |
| Symbol | Distribution |
Distribution Solutions Price To Book Ratio
Is Trading Companies & Distributors 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 Distribution Solutions. If investors know Distribution 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 Distribution Solutions 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 (0.42) | Earnings Share 0.02 | Revenue Per Share | Quarterly Revenue Growth 0.149 | Return On Assets |
The market value of Distribution Solutions is measured differently than its book value, which is the value of Distribution that is recorded on the company's balance sheet. Investors also form their own opinion of Distribution Solutions' value that differs from its market value or its book value, called intrinsic value, which is Distribution Solutions' 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 Distribution Solutions' market value can be influenced by many factors that don't directly affect Distribution Solutions' 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 Distribution Solutions' value and its price as these two are different measures arrived at by different means. Investors typically determine if Distribution Solutions is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Distribution Solutions' 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.
Distribution Solutions '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 Distribution Solutions' 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 Distribution Solutions.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in Distribution Solutions on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding Distribution Solutions Group or generate 0.0% return on investment in Distribution Solutions over 90 days. Distribution Solutions is related to or competes with Global Industrial, Core Main, Applied Industrial, BlueLinx Holdings, DXP Enterprises, Ferguson Plc, and MSC Industrial. Distribution Solutions Group, Inc. operates as a specialty distribution company More
Distribution Solutions 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 Distribution Solutions' 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 Distribution Solutions Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.21 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 11.06 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 3.68 |
Distribution Solutions Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Distribution Solutions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Distribution Solutions' standard deviation. In reality, there are many statistical measures that can use Distribution Solutions historical prices to predict the future Distribution Solutions' volatility.| Risk Adjusted Performance | 0.0479 | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0585 |
Distribution Solutions Backtested Returns
Distribution Solutions appears to be very steady, given 3 months investment horizon. Distribution Solutions 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. We have found twenty-nine technical indicators for Distribution Solutions Group, which you can use to evaluate the volatility of the firm. Please utilize Distribution Solutions' Coefficient Of Variation of 2225.77, mean deviation of 1.74, and Downside Deviation of 2.21 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Distribution Solutions holds a performance score of 8. The firm shows a Beta (market volatility) of 1.6, 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, Distribution Solutions will likely underperform. Please check Distribution Solutions' value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether Distribution Solutions' price patterns will revert.
Auto-correlation | 0.71 |
Good predictability
Distribution Solutions Group has good predictability. Overlapping area represents the amount of predictability between Distribution Solutions time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 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 Distribution Solutions price movement. The serial correlation of 0.71 indicates that around 71.0% of current Distribution Solutions price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
Distribution Solutions lagged returns against current returns
Autocorrelation, which is Distribution Solutions 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 Distribution Solutions' stock expected returns. We can calculate the autocorrelation of Distribution Solutions returns to help us make a trade decision. For example, suppose you find that Distribution Solutions 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 |
Distribution Solutions 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 Distribution Solutions stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Distribution Solutions stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Distribution Solutions stock over time.
Current vs Lagged Prices |
| Timeline |
Distribution Solutions Lagged Returns
When evaluating Distribution Solutions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Distribution Solutions stock have on its future price. Distribution Solutions 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, Distribution Solutions autocorrelation shows the relationship between Distribution Solutions stock current value and its past values and can show if there is a momentum factor associated with investing in Distribution Solutions Group.
Regressed Prices |
| Timeline |
Pair Trading with Distribution Solutions
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 Distribution Solutions 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 Distribution Solutions will appreciate offsetting losses from the drop in the long position's value.Moving together with Distribution Stock
The ability to find closely correlated positions to Distribution Solutions could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Distribution Solutions 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 Distribution Solutions - 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 Distribution Solutions Group to buy it.
The correlation of Distribution Solutions 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 Distribution Solutions moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Distribution Solutions 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 Distribution Solutions 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.Additional Tools for Distribution Stock Analysis
When running Distribution Solutions' price analysis, check to measure Distribution Solutions' 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 Distribution Solutions is operating at the current time. Most of Distribution Solutions' value examination focuses on studying past and present price action to predict the probability of Distribution Solutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Distribution Solutions' price. Additionally, you may evaluate how the addition of Distribution Solutions to your portfolios can decrease your overall portfolio volatility.