Burlington Stores (Germany) Probability of Future Stock Price Finishing Under 218.52

BUI Stock   274.00  2.00  0.74%   
Burlington Stores' future price is the expected price of Burlington Stores instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Burlington Stores performance during a given time horizon utilizing its historical volatility. Check out Burlington Stores Backtesting, Burlington Stores Valuation, Burlington Stores Correlation, Burlington Stores Hype Analysis, Burlington Stores Volatility, Burlington Stores History as well as Burlington Stores Performance.
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Burlington Stores Target Price Odds to finish below 218.52

The tendency of Burlington Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to drop to  218.52  or more in 90 days
 274.00 90 days 218.52 
about 1.27
Based on a normal probability distribution, the odds of Burlington Stores to drop to  218.52  or more in 90 days from now is about 1.27 (This Burlington Stores probability density function shows the probability of Burlington Stock to fall within a particular range of prices over 90 days) . Probability of Burlington Stores price to stay between  218.52  and its current price of 274.0 at the end of the 90-day period is about 99.0 .
Assuming the 90 days trading horizon Burlington Stores has a beta of 0.69 suggesting as returns on the market go up, Burlington Stores average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Burlington Stores will be expected to be much smaller as well. Additionally Burlington Stores has an alpha of 0.0641, implying that it can generate a 0.0641 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Burlington Stores Price Density   
       Price  

Predictive Modules for Burlington Stores

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Burlington Stores. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Burlington Stores' 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.
Hype
Prediction
LowEstimatedHigh
272.13274.00275.87
Details
Intrinsic
Valuation
LowRealHigh
259.63261.50301.40
Details
Naive
Forecast
LowNextHigh
279.03280.91282.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
217.57246.58275.60
Details

Burlington Stores Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Burlington Stores is not an exception. The market had few large corrections towards the Burlington Stores' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Burlington Stores, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Burlington Stores within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.06
β
Beta against Dow Jones0.69
σ
Overall volatility
9.98
Ir
Information ratio 0.01

Burlington Stores Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Burlington Stock often depends not only on the future outlook of the current and potential Burlington Stores' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Burlington Stores' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding66.5 M
Short Long Term Debt14.4 M

Burlington Stores Technical Analysis

Burlington Stores' future price can be derived by breaking down and analyzing its technical indicators over time. Burlington Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Burlington Stores. In general, you should focus on analyzing Burlington Stock price patterns and their correlations with different microeconomic environments and drivers.

Burlington Stores Predictive Forecast Models

Burlington Stores' time-series forecasting models is one of many Burlington Stores' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Burlington Stores' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Burlington Stores in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Burlington Stores' short interest history, or implied volatility extrapolated from Burlington Stores options trading.

Additional Tools for Burlington Stock Analysis

When running Burlington Stores' price analysis, check to measure Burlington Stores' 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 Burlington Stores is operating at the current time. Most of Burlington Stores' value examination focuses on studying past and present price action to predict the probability of Burlington Stores' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Burlington Stores' price. Additionally, you may evaluate how the addition of Burlington Stores to your portfolios can decrease your overall portfolio volatility.