Burlington Stores (Germany) Market Value
| BUI Stock | EUR 272.00 10.00 3.55% |
| Symbol | Burlington |
Burlington Stores '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 Burlington Stores' 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 Burlington Stores.
| 11/06/2023 |
| 11/30/2024 |
If you would invest 0.00 in Burlington Stores on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding Burlington Stores or generate 0.0% return on investment in Burlington Stores over 390 days. Burlington Stores is related to or competes with Cogent Communications, Darden Restaurants, MCEWEN MINING, MINCO SILVER, Perseus Mining, BJs Restaurants, and Chunghwa Telecom. Burlington Stores, Inc. operates as a retailer of branded apparel products in the United States More
Burlington Stores 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 Burlington Stores' 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 Burlington Stores upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.41 | |||
| Information Ratio | 0.035 | |||
| Maximum Drawdown | 10.31 | |||
| Value At Risk | (3.55) | |||
| Potential Upside | 3.91 |
Burlington Stores Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Burlington Stores' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Burlington Stores' standard deviation. In reality, there are many statistical measures that can use Burlington Stores historical prices to predict the future Burlington Stores' volatility.| Risk Adjusted Performance | 0.0826 | |||
| Jensen Alpha | 0.1104 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0309 | |||
| Treynor Ratio | 0.2811 |
Burlington Stores Backtested Returns
Burlington Stores appears to be very steady, given 3 months investment horizon. Burlington Stores secures Sharpe Ratio (or Efficiency) of 0.0938, which signifies that the company had a 0.0938% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Burlington Stores, which you can use to evaluate the volatility of the firm. Please makes use of Burlington Stores' Downside Deviation of 2.41, mean deviation of 1.53, and Risk Adjusted Performance of 0.0826 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Burlington Stores holds a performance score of 7. The firm shows a Beta (market volatility) of 0.72, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Burlington Stores' returns are expected to increase less than the market. However, during the bear market, the loss of holding Burlington Stores is expected to be smaller as well. Please check Burlington Stores' total risk alpha, value at risk, expected short fall, as well as the relationship between the treynor ratio and downside variance , to make a quick decision on whether Burlington Stores' price patterns will revert.
Auto-correlation | 0.77 |
Good predictability
Burlington Stores has good predictability. Overlapping area represents the amount of predictability between Burlington Stores time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th 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 Burlington Stores price movement. The serial correlation of 0.77 indicates that around 77.0% of current Burlington Stores price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 311.88 |
Burlington Stores lagged returns against current returns
Autocorrelation, which is Burlington Stores 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 Burlington Stores' stock expected returns. We can calculate the autocorrelation of Burlington Stores returns to help us make a trade decision. For example, suppose you find that Burlington Stores 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 |
Burlington Stores 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 Burlington Stores stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Burlington Stores stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Burlington Stores stock over time.
Current vs Lagged Prices |
| Timeline |
Burlington Stores Lagged Returns
When evaluating Burlington Stores' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Burlington Stores stock have on its future price. Burlington Stores 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, Burlington Stores autocorrelation shows the relationship between Burlington Stores stock current value and its past values and can show if there is a momentum factor associated with investing in Burlington Stores.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Burlington Stock
When determining whether Burlington Stores is a strong investment it is important to analyze Burlington Stores' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Burlington Stores' future performance. For an informed investment choice regarding Burlington Stock, refer to the following important reports:Check out Burlington Stores Correlation, Burlington Stores Volatility and Burlington Stores Alpha and Beta module to complement your research on Burlington Stores. For more detail on how to invest in Burlington Stock please use our How to Invest in Burlington Stores guide.You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Burlington Stores 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.