Big Shopping (Israel) Probability of Future Stock Price Finishing Under 39000.0

BIG Stock  ILS 39,310  610.00  1.58%   
Big Shopping's future price is the expected price of Big Shopping 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 Big Shopping Centers performance during a given time horizon utilizing its historical volatility. Check out Big Shopping Backtesting, Big Shopping Valuation, Big Shopping Correlation, Big Shopping Hype Analysis, Big Shopping Volatility, Big Shopping History as well as Big Shopping Performance.
  
Please specify Big Shopping's target price for which you would like Big Shopping odds to be computed.

Big Shopping Target Price Odds to finish below 39000.0

The tendency of Big 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 S 39,000  or more in 90 days
 39,310 90 days 39,000 
about 61.75
Based on a normal probability distribution, the odds of Big Shopping to drop to S 39,000  or more in 90 days from now is about 61.75 (This Big Shopping Centers probability density function shows the probability of Big Stock to fall within a particular range of prices over 90 days) . Probability of Big Shopping Centers price to stay between S 39,000  and its current price of S39310.0 at the end of the 90-day period is about 8.37 .
Assuming the 90 days trading horizon Big Shopping Centers has a beta of -0.0999 suggesting as returns on the benchmark increase, returns on holding Big Shopping are expected to decrease at a much lower rate. During a bear market, however, Big Shopping Centers is likely to outperform the market. Additionally Big Shopping Centers has an alpha of 0.0209, implying that it can generate a 0.0209 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Big Shopping Price Density   
       Price  

Predictive Modules for Big Shopping

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Shopping Centers. 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 Big Shopping'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.
Hype
Prediction
LowEstimatedHigh
39,30839,31039,312
Details
Intrinsic
Valuation
LowRealHigh
32,87432,87643,241
Details
Naive
Forecast
LowNextHigh
40,21440,21640,218
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37,10939,34741,585
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Big Shopping. Your research has to be compared to or analyzed against Big Shopping's peers to derive any actionable benefits. When done correctly, Big Shopping's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Big Shopping Centers.

Big Shopping Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Big Shopping is not an exception. The market had few large corrections towards the Big Shopping's 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 Big Shopping Centers, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Big Shopping within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.02
β
Beta against NYSE Composite-0.1
σ
Overall volatility
1,349
Ir
Information ratio -0.03

Big Shopping Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Big Shopping for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Big Shopping Centers can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Big Shopping Centers has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
The company has accumulated 13.49 B in total debt with debt to equity ratio (D/E) of 149.6, indicating the company may have difficulties to generate enough cash to satisfy its financial obligations. Big Shopping Centers has a current ratio of 0.22, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Big Shopping until it has trouble settling it off, either with new capital or with free cash flow. So, Big Shopping's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Big Shopping Centers sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Big to invest in growth at high rates of return. When we think about Big Shopping's use of debt, we should always consider it together with cash and equity.
About 53.0% of Big Shopping shares are held by company insiders

Big Shopping 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 Big Stock often depends not only on the future outlook of the current and potential Big Shopping's 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. Big Shopping's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding21.1 M

Big Shopping Technical Analysis

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

Big Shopping Predictive Forecast Models

Big Shopping's time-series forecasting models is one of many Big Shopping's 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 Big Shopping's 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.

Things to note about Big Shopping Centers

Checking the ongoing alerts about Big Shopping for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Big Shopping Centers help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Big Shopping Centers has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
The company has accumulated 13.49 B in total debt with debt to equity ratio (D/E) of 149.6, indicating the company may have difficulties to generate enough cash to satisfy its financial obligations. Big Shopping Centers has a current ratio of 0.22, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Big Shopping until it has trouble settling it off, either with new capital or with free cash flow. So, Big Shopping's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Big Shopping Centers sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Big to invest in growth at high rates of return. When we think about Big Shopping's use of debt, we should always consider it together with cash and equity.
About 53.0% of Big Shopping shares are held by company insiders
Check out Big Shopping Backtesting, Big Shopping Valuation, Big Shopping Correlation, Big Shopping Hype Analysis, Big Shopping Volatility, Big Shopping History as well as Big Shopping Performance.
Note that the Big Shopping Centers information on this page should be used as a complementary analysis to other Big Shopping's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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When running Big Shopping's price analysis, check to measure Big Shopping'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 Big Shopping is operating at the current time. Most of Big Shopping's value examination focuses on studying past and present price action to predict the probability of Big Shopping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Shopping's price. Additionally, you may evaluate how the addition of Big Shopping to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Big Shopping's value and its price as these two are different measures arrived at by different means. Investors typically determine if Big Shopping is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Big Shopping'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.