Li Ning Co Stock Odds of Future Pink Sheet Price Finishing Under 159.55

LNNGY Stock  USD 56.02  3.10  5.24%   
Li Ning's future price is the expected price of Li Ning 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 Li Ning Co performance during a given time horizon utilizing its historical volatility. Check out Li Ning Backtesting, Li Ning Valuation, Li Ning Correlation, Li Ning Hype Analysis, Li Ning Volatility, Li Ning History as well as Li Ning Performance.
  
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Li Ning Target Price Odds to finish below 159.55

The tendency of LNNGY Pink Sheet 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 stay under $ 159.55  after 90 days
 56.02 90 days 159.55 
close to 99
Based on a normal probability distribution, the odds of Li Ning to stay under $ 159.55  after 90 days from now is close to 99 (This Li Ning Co probability density function shows the probability of LNNGY Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Li Ning price to stay between its current price of $ 56.02  and $ 159.55  at the end of the 90-day period is about 25.23 .
Assuming the 90 days horizon Li Ning has a beta of 0.24. This indicates as returns on the market go up, Li Ning average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Li Ning Co will be expected to be much smaller as well. Additionally Li Ning Co has an alpha of 0.4246, implying that it can generate a 0.42 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Li Ning Price Density   
       Price  

Predictive Modules for Li Ning

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Li Ning. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
51.0056.0261.04
Details
Intrinsic
Valuation
LowRealHigh
41.3146.3361.62
Details
Naive
Forecast
LowNextHigh
53.1958.2163.23
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
47.8852.1956.51
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Li Ning. Your research has to be compared to or analyzed against Li Ning's peers to derive any actionable benefits. When done correctly, Li Ning'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 Li Ning.

Li Ning Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Li Ning is not an exception. The market had few large corrections towards the Li Ning'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 Li Ning Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Li Ning within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.42
β
Beta against Dow Jones0.24
σ
Overall volatility
5.65
Ir
Information ratio 0.07

Li Ning 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 Li Ning for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Li Ning can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Li Ning is way too risky over 90 days horizon
Li Ning appears to be risky and price may revert if volatility continues

Li Ning 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 LNNGY Pink Sheet often depends not only on the future outlook of the current and potential Li Ning'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. Li Ning's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding107.5 M
Cash And Short Term Investments15.1 B

Li Ning Technical Analysis

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

Li Ning Predictive Forecast Models

Li Ning's time-series forecasting models is one of many Li Ning's pink sheet 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 Li Ning'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 pink sheet market movement and maximize returns from investment trading.

Things to note about Li Ning

Checking the ongoing alerts about Li Ning for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Li Ning help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Li Ning is way too risky over 90 days horizon
Li Ning appears to be risky and price may revert if volatility continues

Additional Tools for LNNGY Pink Sheet Analysis

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