Destination Xl Group Stock Market Value
| DXLG Stock | USD 3.32 0.01 0.30% |
| Symbol | Destination |
Destination XL Group Price To Book Ratio
Is Destination'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 Destination. If investors know Destination 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 Destination 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 (0.38) | Earnings Share 0.43 | Revenue Per Share 8.552 | Quarterly Revenue Growth (0.05) | Return On Assets 0.0742 |
The market value of Destination XL Group is measured differently than its book value, which is the value of Destination that is recorded on the company's balance sheet. Investors also form their own opinion of Destination's value that differs from its market value or its book value, called intrinsic value, which is Destination'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 Destination's market value can be influenced by many factors that don't directly affect Destination'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 Destination's value and its price as these two are different measures arrived at by different means. Investors typically determine if Destination is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Destination'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.
Destination '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 Destination'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 Destination.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Destination on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Destination XL Group or generate 0.0% return on investment in Destination over 30 days. Destination is related to or competes with Cato, Zumiez, Tillys, Duluth Holdings, Lands End, Citi Trends, and Shoe Carnival. Destination XL Group, Inc., together with its subsidiaries, operates as a specialty retailer of big and tall mens clothi... More
Destination 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 Destination'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 Destination XL Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 13.6 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 3.46 |
Destination Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Destination's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Destination's standard deviation. In reality, there are many statistical measures that can use Destination historical prices to predict the future Destination's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | (0.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Destination'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.
Destination XL Group Backtested Returns
Destination XL Group secures Sharpe Ratio (or Efficiency) of -0.16, which denotes the company had a -0.16% return per unit of risk over the last 3 months. Destination XL Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Destination's Variance of 5.56, standard deviation of 2.36, and Mean Deviation of 1.75 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.27, 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, Destination will likely underperform. Destination XL Group has an expected return of -0.38%. Please make sure to confirm Destination XL Group skewness, as well as the relationship between the rate of daily change and price action indicator , to decide if Destination XL Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.36 |
Poor reverse predictability
Destination XL Group has poor reverse predictability. Overlapping area represents the amount of predictability between Destination time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Destination XL Group price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Destination price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Destination XL Group lagged returns against current returns
Autocorrelation, which is Destination 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 Destination's stock expected returns. We can calculate the autocorrelation of Destination returns to help us make a trade decision. For example, suppose you find that Destination 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 |
Destination 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 Destination stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Destination stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Destination stock over time.
Current vs Lagged Prices |
| Timeline |
Destination Lagged Returns
When evaluating Destination's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Destination stock have on its future price. Destination 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, Destination autocorrelation shows the relationship between Destination stock current value and its past values and can show if there is a momentum factor associated with investing in Destination XL Group.
Regressed Prices |
| Timeline |
Pair Trading with Destination
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 Destination 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 Destination will appreciate offsetting losses from the drop in the long position's value.Moving together with Destination Stock
| 0.68 | FL | Foot Locker Financial Report 17th of May 2024 | PairCorr |
Moving against Destination Stock
| 0.84 | AMZN | Amazon Inc Earnings Call This Week | PairCorr |
| 0.77 | JD | JD Inc Adr Aggressive Push | PairCorr |
| 0.67 | GPS | Gap Inc Financial Report 23rd of May 2024 | PairCorr |
| 0.66 | AEO | American Eagle Outfitters Financial Report 22nd of May 2024 | PairCorr |
| 0.64 | BBY | Best Buy Financial Report 23rd of May 2024 | PairCorr |
The ability to find closely correlated positions to Destination could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Destination 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 Destination - 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 Destination XL Group to buy it.
The correlation of Destination 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 Destination moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Destination XL Group 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 Destination 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 Destination Correlation, Destination Volatility and Destination Alpha and Beta module to complement your research on Destination. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for Destination Stock analysis
When running Destination's price analysis, check to measure Destination'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 Destination is operating at the current time. Most of Destination's value examination focuses on studying past and present price action to predict the probability of Destination's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Destination's price. Additionally, you may evaluate how the addition of Destination to your portfolios can decrease your overall portfolio volatility.
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Destination 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.